mirror of
https://github.com/anomalyco/opencode.git
synced 2026-08-20 06:53:27 -04:00
Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Aiden Cline
|
9e7b5f1701 |
@@ -0,0 +1,37 @@
|
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name: beta
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
- cron: "0 * * * *"
|
||||
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: blacksmith-4vcpu-ubuntu-2404
|
||||
permissions:
|
||||
contents: write
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
|
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with:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Setup Bun
|
||||
uses: ./.github/actions/setup-bun
|
||||
|
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- name: Setup Git Committer
|
||||
id: setup-git-committer
|
||||
uses: ./.github/actions/setup-git-committer
|
||||
with:
|
||||
opencode-app-id: ${{ vars.OPENCODE_APP_ID }}
|
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opencode-app-secret: ${{ secrets.OPENCODE_APP_SECRET }}
|
||||
|
||||
- name: Install OpenCode
|
||||
run: bun i -g opencode-ai
|
||||
|
||||
- name: Sync beta branch
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.setup-git-committer.outputs.token }}
|
||||
OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
|
||||
run: bun script/beta.ts
|
||||
@@ -301,7 +301,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -332,7 +332,7 @@
|
||||
"@opentelemetry/sdk-trace-base": "2.6.1",
|
||||
"@parcel/watcher": "2.5.1",
|
||||
"@silvia-odwyer/photon-node": "0.3.4",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
||||
@@ -576,7 +576,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -623,7 +623,7 @@
|
||||
"@types/ws": "8.18.1",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
@@ -1183,21 +1183,21 @@
|
||||
|
||||
"@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OqcCq2PiFY1dbK/0Ck45KuvE8jfdxRuuAE9Y5w46dAk6U+9vPOeg1CDcmR+ncqmrYrhRl3nmyDttyDahyjCzAw=="],
|
||||
|
||||
"@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.51", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-DPoKiCXDwzopJI/pHcZnXaycZ5qqCL4xCWcfsb1s8M8OUPchK2GUHcCXt6v056fAqtKWLF/hrW+RcHFFY0qyHQ=="],
|
||||
"@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-VscTV68g6sXRY4O1yl72/O8y6+tBDvSQax6bqX06hRKWBGxsJ8Jr3LZsNmZnK9Od5Icx565ijK0QgrlNaN4TdQ=="],
|
||||
|
||||
"@ai-sdk/deepinfra": ["@ai-sdk/deepinfra@2.0.41", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.37", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-y6RoOP7DGWmDSiSxrUSt5p18sbz+Ixe5lMVPmdE7x+Tr5rlrzvftyHhjWHfqlAtoYERZTGFbP6tPW1OfQcrb4A=="],
|
||||
|
||||
"@ai-sdk/deepseek": ["@ai-sdk/deepseek@2.0.47", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MzcQ321JO8OY+TVLFI81A7cIIuoeLLxrLCDD+8C1E3Ro6UFyfMtRXo9bw9OhTMRSDMo6hgSDOo4Fekz8aJtQYQ=="],
|
||||
|
||||
"@ai-sdk/elevenlabs": ["@ai-sdk/elevenlabs@2.0.51", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-XFONX6rAsu6d13cJVUfZfkq4a+qdThlxvoEfzYlSRa1AvALlzwX7Y6bunXxevuifT3n882+nDdWrdiYvFP0+Fw=="],
|
||||
"@ai-sdk/elevenlabs": ["@ai-sdk/elevenlabs@2.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-EtvsWfGrqx3OhzJdoi82qH+4yzEPPKZr2utyQ+w8cHKoFeg0+8Lou9Z3uixy73WEwz8Z1+AR8QT9fZ64AWGYPA=="],
|
||||
|
||||
"@ai-sdk/fireworks": ["@ai-sdk/fireworks@2.0.76", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.67", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-yg1ulgemh6BLMrs2vBNbtjV70NhenFI3Z7psB7s94FOEcGevvyV1qdFoqsgBZ7QyuUGwnC645c+eBFFtPAr5SQ=="],
|
||||
"@ai-sdk/fireworks": ["@ai-sdk/fireworks@2.0.53", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.48", "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-HjeiGsdxSzrCkOf2l2V+K+opzlqxBtduBq6BCiohAdgQk2KdZmI/67SMkBM6Kdze/BjUXiZlv0d7zNICPhxVDA=="],
|
||||
|
||||
"@ai-sdk/gateway": ["@ai-sdk/gateway@3.0.104", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23", "@vercel/oidc": "3.2.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ZKX5n74io8VIRlhIMSLWVlvT3sXC8Z7cZ9GHuWBWZDVi96+62AIsWuLGvMfcBA1STYuSoDrp6rIziZmvrTq0TA=="],
|
||||
|
||||
"@ai-sdk/google": ["@ai-sdk/google@3.0.73", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-o2MuIeyvZrFIeIbnbA8Thrr63irdyUBh0uWBZ2lY6yFeXuE/tcwyXF74bDKS4KvTu84uFpQfpbS/LXHGKKXz+g=="],
|
||||
|
||||
"@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@4.0.181", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.110", "@ai-sdk/google": "3.0.108", "@ai-sdk/openai-compatible": "2.0.67", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45", "google-auth-library": "^10.5.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-57b5Qor8V53vubkxCj09tbHWpzpCLUbzmll2FwShuLvyEAsCH6mh3sAowDhiwUWPXnLzU+rC3RVMKCPscqICcg=="],
|
||||
"@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@4.0.128", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.77", "@ai-sdk/google": "3.0.73", "@ai-sdk/openai-compatible": "2.0.47", "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27", "google-auth-library": "^10.5.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-jK8fixb4km2yfgvb9DUFQRpV/jiDB0v9gyxHoHfPydaQvz+CpAz8DTt1quyaM+Wg9G2R8Zo68CYmHbIkUqW2AA=="],
|
||||
|
||||
"@ai-sdk/groq": ["@ai-sdk/groq@3.0.31", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-XbbugpnFmXGu2TlXiq8KUJskP6/VVbuFcnFIGDzDIB/Chg6XHsNnqrTF80Zxkh0Pd3+NvbM+2Uqrtsndk6bDAg=="],
|
||||
|
||||
@@ -3063,7 +3063,7 @@
|
||||
|
||||
"ai": ["ai@6.0.168", "", { "dependencies": { "@ai-sdk/gateway": "3.0.104", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23", "@opentelemetry/api": "1.9.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-2HqCJuO+1V2aV7vfYs5LFEUfxbkGX+5oa54q/gCCTL7KLTdbxcCu5D7TdLA5kwsrs3Szgjah9q6D9tpjHM3hUQ=="],
|
||||
|
||||
"ai-gateway-provider": ["ai-gateway-provider@3.2.0", "", { "optionalDependencies": { "@ai-sdk/amazon-bedrock": "^4.0.117", "@ai-sdk/anthropic": "^3.0.84", "@ai-sdk/azure": "^3.0.74", "@ai-sdk/cerebras": "^2.0.56", "@ai-sdk/cohere": "^3.0.38", "@ai-sdk/deepgram": "^2.0.35", "@ai-sdk/deepseek": "^2.0.38", "@ai-sdk/elevenlabs": "^2.0.35", "@ai-sdk/fireworks": "^2.0.56", "@ai-sdk/google": "^3.0.82", "@ai-sdk/google-vertex": "^4.0.145", "@ai-sdk/groq": "^3.0.41", "@ai-sdk/mistral": "^3.0.39", "@ai-sdk/openai": "^3.0.71", "@ai-sdk/perplexity": "^3.0.35", "@ai-sdk/xai": "^3.0.95", "@openrouter/ai-sdk-provider": "^2.10.0" }, "peerDependencies": { "@ai-sdk/openai-compatible": "^2.0.0", "@ai-sdk/provider": "^3.0.0", "@ai-sdk/provider-utils": "^4.0.0", "ai": "^6.0.0" } }, "sha512-IGSV96IqAfiZd20CWSMVQk5sVeLcJR2uQcoWLB8GdkxyvQrsU3x4U0o1Ok6bfVJug7SrlX6I8ibz9cHIkUyRtg=="],
|
||||
"ai-gateway-provider": ["ai-gateway-provider@3.1.2", "", { "optionalDependencies": { "@ai-sdk/amazon-bedrock": "^4.0.62", "@ai-sdk/anthropic": "^3.0.46", "@ai-sdk/azure": "^3.0.31", "@ai-sdk/cerebras": "^2.0.34", "@ai-sdk/cohere": "^3.0.21", "@ai-sdk/deepgram": "^2.0.20", "@ai-sdk/deepseek": "^2.0.20", "@ai-sdk/elevenlabs": "^2.0.20", "@ai-sdk/fireworks": "^2.0.34", "@ai-sdk/google": "^3.0.30", "@ai-sdk/google-vertex": "^4.0.61", "@ai-sdk/groq": "^3.0.24", "@ai-sdk/mistral": "^3.0.20", "@ai-sdk/openai": "^3.0.30", "@ai-sdk/perplexity": "^3.0.19", "@ai-sdk/xai": "^3.0.57", "@openrouter/ai-sdk-provider": "^2.2.3" }, "peerDependencies": { "@ai-sdk/openai-compatible": "^2.0.0", "@ai-sdk/provider": "^3.0.0", "@ai-sdk/provider-utils": "^4.0.0", "ai": "^6.0.0" } }, "sha512-krGNnJSoO/gJ7Hbe5nQDlsBpDUGIBGtMQTRUaW7s1MylsfvLduba0TLWzQaGtOmNRkP0pGhtGlwsnS6FNQMlyw=="],
|
||||
|
||||
"ajv": ["ajv@8.20.0", "", { "dependencies": { "fast-deep-equal": "^3.1.3", "fast-uri": "^3.0.1", "json-schema-traverse": "^1.0.0", "require-from-string": "^2.0.2" } }, "sha512-Thbli+OlOj+iMPYFBVBfJ3OmCAnaSyNn4M1vz9T6Gka5Jt9ba/HIR56joy65tY6kx/FCF5VXNB819Y7/GUrBGA=="],
|
||||
|
||||
@@ -5667,9 +5667,9 @@
|
||||
|
||||
"@ai-sdk/cohere/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
|
||||
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
|
||||
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],
|
||||
|
||||
"@ai-sdk/deepinfra/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
|
||||
|
||||
@@ -5677,29 +5677,27 @@
|
||||
|
||||
"@ai-sdk/deepseek/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],
|
||||
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
|
||||
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.67", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-glcEJC2mBXJKj7joFI0fRhcbdDYKTBgXMPcT6Vcnlym67tTzuNG9pFx3zblxVv8TdOxhojJja5zGG19yeGJxuA=="],
|
||||
"@ai-sdk/fireworks/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.48", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-z9MC6M4Oh/yUY/F/eszOtO8wc2nMz99XmZQKd2gWTtyIfe716xTfrKe3aYZKg20NZDtyjqPPKPSR+wqz7q1T7Q=="],
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
|
||||
"@ai-sdk/fireworks/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
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||||
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@@ -6173,23 +6171,21 @@
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@@ -6599,24 +6595,16 @@
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"@ai-sdk/fireworks/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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@@ -6989,45 +6977,29 @@
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|
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"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
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|
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"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
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"ai-gateway-provider/@ai-sdk/xai/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.41", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-kNAGINk71AlOXx10Dq/PXw4t/9XjdK8uxfpVElRwtSFMdeSiLVt58p9TPx4/FJD+hxZuVhvxYj9r42osxWq79g=="],
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@@ -7447,31 +7419,13 @@
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"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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|
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"ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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|
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"ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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|
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"ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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"ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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|
||||
"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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"ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
|
||||
|
||||
|
||||
+4
-4
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"x86_64-linux": "sha256-yQ8EIxxYkzlEWIMY/UiIR+7lbGBuizsoehMPZzFA65Y=",
|
||||
"aarch64-linux": "sha256-JF9VVgnl5QUZ430fqb5Qu8y0kchYJ00LO3FbYcd0lBM=",
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"aarch64-darwin": "sha256-f3Tu6eu463NWcHgr7dupfD/zUTh26bJ6N2vVXuEyi6c=",
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"x86_64-darwin": "sha256-miv9Sv4KdhD0UIi2O5LVS1wQOfq29IV+9S+BvIzAvgo="
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"x86_64-linux": "sha256-TNwKfqxD83UpZuCKN8FdEWN+CcQUP9CkCQSLGNqR/sA=",
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"aarch64-linux": "sha256-qzvOJZzmq2QhlauElw8GwgQnCPHdhexI52L0md5zrxQ=",
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"aarch64-darwin": "sha256-ZzoyLayOFfcYUAg35ZbZ2WapxDdd9IUWqy2xkxZH4QM=",
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"x86_64-darwin": "sha256-maP/qLeaC3q8VcmNIPyIKlnplxFXJ7ULho3v21/16Mw="
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||||
}
|
||||
}
|
||||
|
||||
@@ -145,7 +145,7 @@ function ServerForm(props: ServerFormProps) {
|
||||
type="text"
|
||||
label={language.t("dialog.server.add.name")}
|
||||
placeholder={language.t("dialog.server.add.namePlaceholder")}
|
||||
defaultValue={props.name}
|
||||
value={props.name}
|
||||
disabled={props.busy}
|
||||
onChange={props.onNameChange}
|
||||
onKeyDown={keyDown}
|
||||
@@ -155,7 +155,7 @@ function ServerForm(props: ServerFormProps) {
|
||||
type="text"
|
||||
label={language.t("dialog.server.add.username")}
|
||||
placeholder={language.t("dialog.server.add.usernamePlaceholder")}
|
||||
defaultValue={props.username}
|
||||
value={props.username}
|
||||
disabled={props.busy}
|
||||
onChange={props.onUsernameChange}
|
||||
onKeyDown={keyDown}
|
||||
@@ -164,7 +164,7 @@ function ServerForm(props: ServerFormProps) {
|
||||
type="password"
|
||||
label={language.t("dialog.server.add.password")}
|
||||
placeholder={language.t("dialog.server.add.passwordPlaceholder")}
|
||||
defaultValue={props.password}
|
||||
value={props.password}
|
||||
disabled={props.busy}
|
||||
onChange={props.onPasswordChange}
|
||||
onKeyDown={keyDown}
|
||||
|
||||
@@ -252,7 +252,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "الاستثناءات التالية",
|
||||
|
||||
"go.title": "OpenCode Go | نماذج برمجة منخفضة التكلفة للجميع",
|
||||
"go.banner.text": "يحصل Hy3 على حدود استخدام أكبر 8 أضعاف لفترة محدودة",
|
||||
"go.banner.text": "يحصل DeepSeek V4 Flash على حدود استخدام مضاعفة لفترة محدودة",
|
||||
"go.meta.description":
|
||||
"يبدأ Go بسعر $5 للشهر الأول، ثم $10/شهر، مع حدود استخدام سخية ووصول موثوق إلى نماذج البرمجة الرائدة.",
|
||||
"go.hero.title": "نماذج برمجة منخفضة التكلفة للجميع",
|
||||
@@ -342,13 +342,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "مستخدَمة",
|
||||
"go.faq.a5.notUsed": "غير مستخدَمة",
|
||||
"go.faq.a5.noAgreement": "لا توجد اتفاقية",
|
||||
"go.faq.a5.notZdr": "ليست ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"تعطّل ZDR ميزات API مهمة تعتمد على البيانات المخزنة، بما في ذلك Responses API ذات الحالة، وFiles and Collections، وBatch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"تُنشأ سجلات مراقبة إساءة الاستخدام لكل استخدام لميزات API، ويُحتفظ بها لمدة تصل إلى 30 يومًا.",
|
||||
"go.faq.a5.museRetention":
|
||||
"أسعار توكنات مخفّضة للغاية مقابل منح الإذن باستخدام مطالباتك وإكمالات النموذج لتدريب نماذج Meta المستقبلية.",
|
||||
"go.faq.a5.learnMore": "اعرف المزيد",
|
||||
"go.faq.a5.deepseekRetention": "تُجدَّد اتفاقية ZDR شهريًا. الاتفاقية الحالية سارية حتى 31 أغسطس 2026.",
|
||||
"go.faq.a5.beforeExceptions":
|
||||
@@ -389,9 +386,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "النموذج معطل",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"لا يتوفر أحدث إصدار من هذا النموذج إلا مستضافًا في الصين، ويتطلب تفعيلًا صريحًا: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "هذا النموذج غير متاح في بلدك.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"يجمع هذا النموذج بيانات تُستخدم لتحسين جودته، ويتطلب موافقتك الصريحة: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"انتهى العرض المجاني لـ {{model}}. يمكنك مواصلة استخدام النموذج بالاشتراك في OpenCode Go - {{link}}",
|
||||
|
||||
@@ -671,7 +665,6 @@ export const dict = {
|
||||
'اختر "OpenCode Go" كمزود في إعدادات opencode الخاصة بك لاستخدام نماذج Go.',
|
||||
"workspace.lite.providers.title": "المزودون",
|
||||
"workspace.lite.providers.description": "تحكم في المزودين المستخدمين للتوجيه.",
|
||||
"workspace.lite.providers.allowTraining": "السماح بالنماذج التي تتدرب على بيانات الطلبات",
|
||||
"workspace.lite.providers.useChina": "تفعيل النماذج المستضافة في الصين",
|
||||
"workspace.lite.black.message":
|
||||
"أنت مشترك حاليًا في OpenCode Black أو في قائمة الانتظار. يرجى إلغاء الاشتراك أولاً إذا كنت ترغب في التبديل إلى Go.",
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "seguintes exceções",
|
||||
|
||||
"go.title": "OpenCode Go | Modelos de codificação de baixo custo para todos",
|
||||
"go.banner.text": "Hy3 tem limites de uso 8x maiores por tempo limitado",
|
||||
"go.banner.text": "DeepSeek V4 Flash tem limites de uso 2x maiores por tempo limitado",
|
||||
"go.meta.description":
|
||||
"O Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos de uso e acesso confiável aos principais modelos de codificação.",
|
||||
"go.hero.title": "Modelos de codificação de baixo custo para todos",
|
||||
@@ -349,13 +349,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "Usado",
|
||||
"go.faq.a5.notUsed": "Não usado",
|
||||
"go.faq.a5.noAgreement": "Sem acordo",
|
||||
"go.faq.a5.notZdr": "Não é ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"O ZDR desativa recursos importantes da API que dependem de dados armazenados, incluindo a Responses API com estado, Files and Collections e a Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Logs de monitoramento de abuso são gerados para todo uso de recursos da API e retidos por até 30 dias.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Preços de tokens com grandes descontos em troca da permissão para usar seus prompts e respostas geradas para treinar futuros modelos da Meta.",
|
||||
"go.faq.a5.learnMore": "Saiba mais",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"O acordo de ZDR é renovado mensalmente. O acordo atual é válido até 31 de agosto de 2026.",
|
||||
@@ -398,9 +395,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "O modelo está desabilitado",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"A versão mais recente deste modelo está disponível apenas com hospedagem na China e requer adesão explícita: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Este modelo não está disponível no seu país.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Este modelo coleta dados usados para melhorar sua qualidade e exige seu consentimento explícito: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"A promoção gratuita do {{model}} terminou. Você pode continuar usando o modelo assinando o OpenCode Go - {{link}}",
|
||||
|
||||
@@ -682,7 +676,6 @@ export const dict = {
|
||||
'Selecione "OpenCode Go" como provedor na sua configuração do opencode para usar os modelos Go.',
|
||||
"workspace.lite.providers.title": "Provedores",
|
||||
"workspace.lite.providers.description": "Controle quais provedores são usados para roteamento.",
|
||||
"workspace.lite.providers.allowTraining": "Permitir modelos que usam dados de solicitações para treinamento",
|
||||
"workspace.lite.providers.useChina": "Ativar modelos hospedados na China",
|
||||
"workspace.lite.black.message":
|
||||
"Você está atualmente inscrito no OpenCode Black ou na lista de espera. Por favor, cancele a assinatura primeiro se desejar mudar para o Go.",
|
||||
|
||||
@@ -254,7 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende undtagelser",
|
||||
|
||||
"go.title": "OpenCode Go | Kodningsmodeller til lav pris for alle",
|
||||
"go.banner.text": "Hy3 får 8x højere brugsgrænser i en begrænset periode",
|
||||
"go.banner.text": "DeepSeek V4 Flash får fordoblet brugsgrænse i en begrænset periode",
|
||||
"go.meta.description":
|
||||
"Go starter ved $5 for den første måned, derefter $10/måned, med generøse brugsgrænser og pålidelig adgang til førende kodningsmodeller.",
|
||||
"go.hero.title": "Kodningsmodeller til lav pris for alle",
|
||||
@@ -346,13 +346,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "Brugt",
|
||||
"go.faq.a5.notUsed": "Ikke brugt",
|
||||
"go.faq.a5.noAgreement": "Ingen aftale",
|
||||
"go.faq.a5.notZdr": "Ikke ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR deaktiverer vigtige API-funktioner, der afhænger af lagrede data, herunder den tilstandsbevarende Responses API, Files and Collections og Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Logfiler til overvågning af misbrug genereres ved al brug af API-funktioner og opbevares i op til 30 dage.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Kraftigt nedsatte tokenpriser til gengæld for tilladelse til at bruge dine prompts og modelsvar til at træne fremtidige Meta-modeller.",
|
||||
"go.faq.a5.learnMore": "Læs mere",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"ZDR-aftalen fornyes månedligt. Den nuværende aftale er gyldig til og med 31. august 2026.",
|
||||
@@ -395,9 +392,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Modellen er deaktiveret",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Den nyeste version af denne model er kun tilgængelig som hostet i Kina og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Denne model er ikke tilgængelig i dit land.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Denne model indsamler data, der bruges til at forbedre dens kvalitet, og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Den gratis kampagne for {{model}} er afsluttet. Du kan fortsætte med at bruge modellen ved at abonnere på OpenCode Go - {{link}}",
|
||||
|
||||
@@ -679,7 +673,6 @@ export const dict = {
|
||||
'Vælg "OpenCode Go" som udbyder i din opencode-konfiguration for at bruge Go-modeller.',
|
||||
"workspace.lite.providers.title": "Udbydere",
|
||||
"workspace.lite.providers.description": "Styr, hvilke udbydere der bruges til routing.",
|
||||
"workspace.lite.providers.allowTraining": "Tillad modeller, der træner på anmodningsdata",
|
||||
"workspace.lite.providers.useChina": "Aktivér modeller hostet i Kina",
|
||||
"workspace.lite.black.message":
|
||||
"Du abonnerer i øjeblikket på OpenCode Black eller er på venteliste. Afmeld venligst først, hvis du vil skifte til Go.",
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "folgenden Ausnahmen",
|
||||
|
||||
"go.title": "OpenCode Go | Kostengünstige Coding-Modelle für alle",
|
||||
"go.banner.text": "Hy3 erhält für begrenzte Zeit 8x Nutzungslimits",
|
||||
"go.banner.text": "DeepSeek V4 Flash erhält für begrenzte Zeit 2x Nutzungslimits",
|
||||
"go.meta.description":
|
||||
"Go beginnt bei $5 für deinen ersten Monat, danach $10/Monat, mit großzügigen Nutzungslimits und zuverlässigem Zugang zu führenden Coding-Modellen.",
|
||||
"go.hero.title": "Kostengünstige Coding-Modelle für alle",
|
||||
@@ -348,13 +348,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "Verwendet",
|
||||
"go.faq.a5.notUsed": "Nicht verwendet",
|
||||
"go.faq.a5.noAgreement": "Keine Vereinbarung",
|
||||
"go.faq.a5.notZdr": "Kein ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR deaktiviert wichtige API-Funktionen, die von gespeicherten Daten abhängen, einschließlich der zustandsbehafteten Responses API, Files and Collections und der Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Für die Nutzung aller API-Funktionen werden Protokolle zur Missbrauchsüberwachung erstellt und bis zu 30 Tage lang aufbewahrt.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Stark vergünstigte Tokenpreise im Gegenzug für die Erlaubnis, deine Prompts und Vervollständigungen zum Trainieren zukünftiger Meta-Modelle zu verwenden.",
|
||||
"go.faq.a5.learnMore": "Mehr erfahren",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"Die ZDR-Vereinbarung wird monatlich erneuert. Die aktuelle Vereinbarung gilt bis einschließlich 31. August 2026.",
|
||||
@@ -397,9 +394,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Modell ist deaktiviert",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Die neueste Version dieses Modells ist nur verfügbar, wenn sie in China gehostet wird, und muss ausdrücklich aktiviert werden: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Dieses Modell ist in deinem Land nicht verfügbar.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Dieses Modell erfasst Daten, die zur Verbesserung seiner Qualität verwendet werden, und erfordert deine ausdrückliche Zustimmung: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Die kostenlose Aktion für {{model}} ist beendet. Du kannst das Modell weiterhin nutzen, indem du OpenCode Go abonnierst - {{link}}",
|
||||
|
||||
@@ -681,7 +675,6 @@ export const dict = {
|
||||
'Wähle "OpenCode Go" als Anbieter in deiner opencode-Konfiguration, um Go-Modelle zu verwenden.',
|
||||
"workspace.lite.providers.title": "Anbieter",
|
||||
"workspace.lite.providers.description": "Steuere, welche Anbieter für das Routing verwendet werden.",
|
||||
"workspace.lite.providers.allowTraining": "Modelle zulassen, die mit Anfragedaten trainieren",
|
||||
"workspace.lite.providers.useChina": "In China gehostete Modelle aktivieren",
|
||||
"workspace.lite.black.message":
|
||||
"Du hast derzeit OpenCode Black abonniert oder stehst auf der Warteliste. Bitte kündige zuerst, wenn du zu Go wechseln möchtest.",
|
||||
|
||||
@@ -253,7 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "following exceptions",
|
||||
|
||||
"go.title": "OpenCode Go | Low cost coding models for everyone",
|
||||
"go.banner.text": "Hy3 gets 8× usage limits for a limited time",
|
||||
"go.banner.text": "DeepSeek V4 Flash gets 2× usage limits for a limited time",
|
||||
"go.meta.description":
|
||||
"Go starts at $5 for your first month, then $10/month, with generous usage limits and reliable access to leading coding models.",
|
||||
"go.hero.title": "Low cost coding models for everyone",
|
||||
@@ -344,13 +344,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "Used",
|
||||
"go.faq.a5.notUsed": "Not used",
|
||||
"go.faq.a5.noAgreement": "No agreement",
|
||||
"go.faq.a5.notZdr": "Not ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Heavily discounted token pricing in exchange for permission to use your prompts and completions to train future Meta models.",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.",
|
||||
"go.faq.a5.learnMore": "Learn more",
|
||||
@@ -394,9 +391,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Model is disabled",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"The latest version of this model is only available hosted in China and requires explicit opt in: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "This model is not available in your country.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"This model collects data used to improve its quality and requires explicit opt in: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Free promotion has ended for {{model}}. You can continue using the model by subscribing to OpenCode Go - {{link}}",
|
||||
|
||||
@@ -678,8 +672,7 @@ export const dict = {
|
||||
'Select "OpenCode Go" as the provider in your opencode configuration to use Go models.',
|
||||
"workspace.lite.providers.title": "Providers",
|
||||
"workspace.lite.providers.description": "Control which providers are used for routing.",
|
||||
"workspace.lite.providers.allowTraining": "Allow models that train on request data",
|
||||
"workspace.lite.providers.useChina": "Allow models hosted in China",
|
||||
"workspace.lite.providers.useChina": "Enable models hosted in China",
|
||||
"workspace.lite.black.message":
|
||||
"You're currently subscribed to OpenCode Black or on the waitlist. Please unsubscribe first if you'd like to switch to Go.",
|
||||
"workspace.lite.other.message":
|
||||
|
||||
@@ -257,7 +257,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "siguientes excepciones",
|
||||
|
||||
"go.title": "OpenCode Go | Modelos de programación de bajo coste para todos",
|
||||
"go.banner.text": "Hy3 tiene límites de uso 8x mayores por tiempo limitado",
|
||||
"go.banner.text": "DeepSeek V4 Flash tiene límites de uso 2x mayores por tiempo limitado",
|
||||
"go.meta.description":
|
||||
"Go comienza en $5 el primer mes, luego 10 $/mes, con límites de uso generosos y acceso fiable a modelos de programación líderes.",
|
||||
"go.hero.title": "Modelos de programación de bajo coste para todos",
|
||||
@@ -349,13 +349,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "Utilizado",
|
||||
"go.faq.a5.notUsed": "No utilizado",
|
||||
"go.faq.a5.noAgreement": "Sin acuerdo",
|
||||
"go.faq.a5.notZdr": "Sin ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR deshabilita funciones importantes de la API que dependen de datos almacenados, incluidas la Responses API con estado, Files and Collections y la Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Se generan registros de supervisión de abusos para todo el uso de funciones de la API y se conservan durante un máximo de 30 días.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Precios de tokens muy reducidos a cambio de permitir que tus prompts y las respuestas generadas se utilicen para entrenar futuros modelos de Meta.",
|
||||
"go.faq.a5.learnMore": "Más información",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"El acuerdo de ZDR se renueva mensualmente. El acuerdo actual es válido hasta el 31 de agosto de 2026.",
|
||||
@@ -398,9 +395,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "El modelo está deshabilitado",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"La versión más reciente de este modelo solo está disponible alojada en China y requiere una aceptación explícita: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Este modelo no está disponible en tu país.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Este modelo recopila datos que se utilizan para mejorar su calidad y requiere tu consentimiento explícito: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"La promoción gratuita de {{model}} ha finalizado. Puedes seguir usando el modelo suscribiéndote a OpenCode Go - {{link}}",
|
||||
|
||||
@@ -682,7 +676,6 @@ export const dict = {
|
||||
'Selecciona "OpenCode Go" como proveedor en tu configuración de opencode para usar los modelos Go.',
|
||||
"workspace.lite.providers.title": "Proveedores",
|
||||
"workspace.lite.providers.description": "Controla qué proveedores se usan para el enrutamiento.",
|
||||
"workspace.lite.providers.allowTraining": "Permitir modelos que se entrenan con los datos de las solicitudes",
|
||||
"workspace.lite.providers.useChina": "Activar modelos alojados en China",
|
||||
"workspace.lite.black.message":
|
||||
"Actualmente estás suscrito a OpenCode Black o estás en la lista de espera. Por favor, cancela la suscripción primero si deseas cambiar a Go.",
|
||||
|
||||
@@ -258,7 +258,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "exceptions suivantes",
|
||||
|
||||
"go.title": "OpenCode Go | Modèles de code à faible coût pour tous",
|
||||
"go.banner.text": "Hy3 bénéficie de limites d’utilisation 8x supérieures pour une durée limitée",
|
||||
"go.banner.text": "DeepSeek V4 Flash bénéficie de limites d’utilisation 2x supérieures pour une durée limitée",
|
||||
"go.meta.description":
|
||||
"Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites d'utilisation généreuses et un accès fiable aux principaux modèles de codage.",
|
||||
"go.hero.title": "Modèles de code à faible coût pour tous",
|
||||
@@ -350,13 +350,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "Utilisé",
|
||||
"go.faq.a5.notUsed": "Non utilisé",
|
||||
"go.faq.a5.noAgreement": "Aucun accord",
|
||||
"go.faq.a5.notZdr": "Pas de ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"Le ZDR désactive d'importantes fonctionnalités API qui dépendent des données stockées, notamment Responses API avec état, Files and Collections et Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Des journaux de surveillance des abus sont générés pour toute utilisation des fonctionnalités API et conservés pendant un maximum de 30 jours.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Des tarifs de tokens fortement réduits en échange de l’autorisation d’utiliser vos prompts et vos complétions pour entraîner de futurs modèles Meta.",
|
||||
"go.faq.a5.learnMore": "En savoir plus",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"L’accord ZDR est renouvelé chaque mois. L’accord actuel est valable jusqu’au 31 août 2026.",
|
||||
@@ -399,9 +396,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Le modèle est désactivé",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"La dernière version de ce modèle est uniquement disponible avec un hébergement en Chine et nécessite votre consentement explicite : {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Ce modèle n’est pas disponible dans votre pays.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Ce modèle collecte des données utilisées pour améliorer sa qualité et nécessite votre consentement explicite : {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"La promotion gratuite de {{model}} est terminée. Vous pouvez continuer à utiliser le modèle en vous abonnant à OpenCode Go - {{link}}",
|
||||
|
||||
@@ -689,7 +683,6 @@ export const dict = {
|
||||
'Sélectionnez "OpenCode Go" comme fournisseur dans votre configuration opencode pour utiliser les modèles Go.',
|
||||
"workspace.lite.providers.title": "Fournisseurs",
|
||||
"workspace.lite.providers.description": "Contrôlez les fournisseurs utilisés pour le routage.",
|
||||
"workspace.lite.providers.allowTraining": "Autoriser les modèles qui s’entraînent sur les données des requêtes",
|
||||
"workspace.lite.providers.useChina": "Activer les modèles hébergés en Chine",
|
||||
"workspace.lite.black.message":
|
||||
"Vous êtes actuellement abonné à OpenCode Black ou sur liste d'attente. Veuillez d'abord vous désabonner si vous souhaitez passer à Go.",
|
||||
|
||||
@@ -254,7 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "seguenti eccezioni",
|
||||
|
||||
"go.title": "OpenCode Go | Modelli di coding a basso costo per tutti",
|
||||
"go.banner.text": "Hy3 offre limiti di utilizzo 8x superiori per un periodo limitato",
|
||||
"go.banner.text": "DeepSeek V4 Flash offre limiti di utilizzo 2x superiori per un periodo limitato",
|
||||
"go.meta.description":
|
||||
"Go inizia a $5 per il primo mese, poi $10/mese, con limiti di utilizzo generosi e un accesso affidabile ai principali modelli di coding.",
|
||||
"go.hero.title": "Modelli di coding a basso costo per tutti",
|
||||
@@ -345,7 +345,6 @@ export const dict = {
|
||||
"go.faq.a5.used": "Utilizzato",
|
||||
"go.faq.a5.notUsed": "Non utilizzato",
|
||||
"go.faq.a5.noAgreement": "Nessun accordo",
|
||||
"go.faq.a5.notZdr": "Non ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR disabilita importanti funzionalità API che dipendono dai dati archiviati, tra cui la Responses API con stato, Files and Collections e Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
@@ -353,8 +352,6 @@ export const dict = {
|
||||
"go.faq.a5.learnMore": "Scopri di più",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"L'accordo ZDR viene rinnovato mensilmente. L'accordo attuale è valido fino al 31 agosto 2026.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Prezzi dei token fortemente scontati in cambio dell'autorizzazione a utilizzare i tuoi prompt e completamenti per addestrare futuri modelli Meta.",
|
||||
"go.faq.a5.beforeExceptions":
|
||||
"I modelli Go sono ospitati negli Stati Uniti. I provider seguono una policy di zero-retention e non usano i tuoi dati per l'addestramento dei modelli, con le",
|
||||
"go.faq.a5.exceptionsLink": "seguenti eccezioni",
|
||||
@@ -394,9 +391,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Il modello è disabilitato",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"La versione più recente di questo modello è disponibile solo con hosting in Cina e richiede un consenso esplicito: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Questo modello non è disponibile nel tuo paese.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Questo modello raccoglie dati utilizzati per migliorarne la qualità e richiede il tuo consenso esplicito: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"La promozione gratuita di {{model}} è terminata. Puoi continuare a usare il modello abbonandoti a OpenCode Go - {{link}}",
|
||||
|
||||
@@ -680,7 +674,6 @@ export const dict = {
|
||||
'Seleziona "OpenCode Go" come provider nella tua configurazione opencode per utilizzare i modelli Go.',
|
||||
"workspace.lite.providers.title": "Provider",
|
||||
"workspace.lite.providers.description": "Controlla quali provider vengono usati per il routing.",
|
||||
"workspace.lite.providers.allowTraining": "Consenti i modelli che si addestrano sui dati delle richieste",
|
||||
"workspace.lite.providers.useChina": "Abilita modelli ospitati in Cina",
|
||||
"workspace.lite.black.message":
|
||||
"Attualmente sei abbonato a OpenCode Black o sei in lista d'attesa. Annulla l'iscrizione prima se desideri passare a Go.",
|
||||
|
||||
@@ -253,7 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下の例外",
|
||||
|
||||
"go.title": "OpenCode Go | すべての人のための低価格なコーディングモデル",
|
||||
"go.banner.text": "Hy3の利用上限が期間限定で8倍に",
|
||||
"go.banner.text": "DeepSeek V4 Flashの利用上限が期間限定で2倍に",
|
||||
"go.meta.description":
|
||||
"Goは最初の月$5、その後$10/月で、主要なコーディングモデルへのゆとりある利用上限と安定したアクセスを提供します。",
|
||||
"go.hero.title": "すべての人のための低価格なコーディングモデル",
|
||||
@@ -345,12 +345,9 @@ export const dict = {
|
||||
"go.faq.a5.used": "使用あり",
|
||||
"go.faq.a5.notUsed": "使用なし",
|
||||
"go.faq.a5.noAgreement": "契約なし",
|
||||
"go.faq.a5.notZdr": "ZDRではない",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDRでは、保存データに依存する重要なAPI機能（ステートフルなResponses API、Files and Collections、Batch APIなど）が無効になります。",
|
||||
"go.faq.a5.gptRetention": "不正使用監視ログはすべてのAPI機能の使用時に生成され、最大30日間保持されます。",
|
||||
"go.faq.a5.museRetention":
|
||||
"将来のMetaモデルのトレーニングにプロンプトと生成結果を使用する許可と引き換えに、トークン料金が大幅に割引されます。",
|
||||
"go.faq.a5.learnMore": "詳しく見る",
|
||||
"go.faq.a5.deepseekRetention": "ZDR契約は毎月更新されます。現在の契約は2026年8月31日まで有効です。",
|
||||
"go.faq.a5.beforeExceptions":
|
||||
@@ -393,9 +390,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "モデルが無効です",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"このモデルの最新バージョンは中国でのみホスト提供されており、利用するには明示的なオプトインが必要です: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "このモデルはお住まいの国では利用できません。",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"このモデルは品質向上のためのデータを収集します。利用するには明示的な同意が必要です: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"{{model}} の無料プロモーションは終了しました。OpenCode Go を購読するとモデルを引き続き使用できます - {{link}}",
|
||||
|
||||
@@ -678,7 +672,6 @@ export const dict = {
|
||||
"Go モデルを使用するには、opencode の設定で「OpenCode Go」をプロバイダーとして選択してください。",
|
||||
"workspace.lite.providers.title": "プロバイダー",
|
||||
"workspace.lite.providers.description": "ルーティングに使用するプロバイダーを管理します。",
|
||||
"workspace.lite.providers.allowTraining": "リクエストデータを学習に使用するモデルを許可",
|
||||
"workspace.lite.providers.useChina": "中国でホストされているモデルを有効にする",
|
||||
"workspace.lite.black.message":
|
||||
"現在 OpenCode Black を購読中、またはウェイティングリストに登録されています。Go に切り替える場合は、先に登録を解除してください。",
|
||||
|
||||
@@ -250,7 +250,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "다음 예외",
|
||||
|
||||
"go.title": "OpenCode Go | 모두를 위한 저비용 코딩 모델",
|
||||
"go.banner.text": "Hy3 사용 한도가 한시적으로 8배 확대됩니다",
|
||||
"go.banner.text": "DeepSeek V4 Flash 사용 한도가 한시적으로 2배 확대됩니다",
|
||||
"go.meta.description":
|
||||
"Go는 첫 달 $5, 이후 $10/월로 시작하며, 넉넉한 사용 한도와 주요 코딩 모델에 대한 안정적인 액세스를 제공합니다.",
|
||||
"go.hero.title": "모두를 위한 저비용 코딩 모델",
|
||||
@@ -341,12 +341,9 @@ export const dict = {
|
||||
"go.faq.a5.used": "사용됨",
|
||||
"go.faq.a5.notUsed": "사용되지 않음",
|
||||
"go.faq.a5.noAgreement": "합의 없음",
|
||||
"go.faq.a5.notZdr": "ZDR 아님",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR은 저장된 데이터에 의존하는 중요한 API 기능(상태 저장형 Responses API, Files and Collections, Batch API 포함)을 비활성화합니다.",
|
||||
"go.faq.a5.gptRetention": "모든 API 기능 사용에 대해 악용 모니터링 로그가 생성되며 최대 30일 동안 보존됩니다.",
|
||||
"go.faq.a5.museRetention":
|
||||
"향후 Meta 모델 학습에 사용자의 프롬프트와 생성 결과를 사용할 수 있도록 허용하는 대신 토큰 가격이 대폭 할인됩니다.",
|
||||
"go.faq.a5.learnMore": "자세히 알아보기",
|
||||
"go.faq.a5.deepseekRetention": "ZDR 계약은 매월 갱신됩니다. 현재 계약은 2026년 8월 31일까지 유효합니다.",
|
||||
"go.faq.a5.beforeExceptions":
|
||||
@@ -387,9 +384,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "모델이 비활성화되었습니다",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"이 모델의 최신 버전은 중국에서 호스팅되는 경우에만 사용할 수 있으며, 명시적으로 사용에 동의해야 합니다: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "이 모델은 거주 국가에서 사용할 수 없습니다.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"이 모델은 품질 개선에 사용되는 데이터를 수집하며, 사용하려면 명시적으로 동의해야 합니다: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"{{model}}의 무료 프로모션이 종료되었습니다. OpenCode Go를 구독하면 모델을 계속 사용할 수 있습니다 - {{link}}",
|
||||
|
||||
@@ -670,7 +664,6 @@ export const dict = {
|
||||
'Go 모델을 사용하려면 opencode 설정에서 "OpenCode Go"를 공급자로 선택하세요.',
|
||||
"workspace.lite.providers.title": "공급자",
|
||||
"workspace.lite.providers.description": "라우팅에 사용할 공급자를 제어합니다.",
|
||||
"workspace.lite.providers.allowTraining": "요청 데이터를 학습에 사용하는 모델 허용",
|
||||
"workspace.lite.providers.useChina": "중국에서 호스팅되는 모델 활성화",
|
||||
"workspace.lite.black.message":
|
||||
"현재 OpenCode Black을 구독 중이거나 대기 명단에 등록되어 있습니다. Go로 전환하려면 먼저 구독을 취소해 주세요.",
|
||||
|
||||
@@ -254,7 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende unntak",
|
||||
|
||||
"go.title": "OpenCode Go | Rimelige kodemodeller for alle",
|
||||
"go.banner.text": "Hy3 får 8x bruksgrense i en begrenset periode",
|
||||
"go.banner.text": "DeepSeek V4 Flash får 2x bruksgrense i en begrenset periode",
|
||||
"go.meta.description":
|
||||
"Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse bruksgrenser og pålitelig tilgang til ledende kodemodeller.",
|
||||
"go.hero.title": "Rimelige kodemodeller for alle",
|
||||
@@ -346,7 +346,6 @@ export const dict = {
|
||||
"go.faq.a5.used": "Brukes",
|
||||
"go.faq.a5.notUsed": "Brukes ikke",
|
||||
"go.faq.a5.noAgreement": "Ingen avtale",
|
||||
"go.faq.a5.notZdr": "Ikke ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR deaktiverer viktige API-funksjoner som er avhengige av lagrede data, inkludert den tilstandsbaserte Responses API, Files and Collections og Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
@@ -354,8 +353,6 @@ export const dict = {
|
||||
"go.faq.a5.learnMore": "Les mer",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"ZDR-avtalen fornyes månedlig. Den gjeldende avtalen er gyldig til og med 31. august 2026.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Kraftig rabatterte tokenpriser i bytte mot tillatelse til å bruke ledetekstene og fullføringene dine til å trene fremtidige Meta-modeller.",
|
||||
|
||||
"go.faq.a5.beforeExceptions":
|
||||
"Go-modeller hostes i USA. Leverandører følger en policy om null oppbevaring og bruker ikke dataene dine til modelltrening, med",
|
||||
@@ -396,9 +393,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Modellen er deaktivert",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Den nyeste versjonen av denne modellen er bare tilgjengelig som en tjeneste driftet i Kina og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Denne modellen er ikke tilgjengelig i landet ditt.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Denne modellen samler inn data som brukes til å forbedre modellens kvalitet, og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Den gratis kampanjen for {{model}} er avsluttet. Du kan fortsette å bruke modellen ved å abonnere på OpenCode Go - {{link}}",
|
||||
|
||||
@@ -680,7 +674,6 @@ export const dict = {
|
||||
'Velg "OpenCode Go" som leverandør i opencode-konfigurasjonen din for å bruke Go-modeller.',
|
||||
"workspace.lite.providers.title": "Leverandører",
|
||||
"workspace.lite.providers.description": "Kontroller hvilke leverandører som brukes til ruting.",
|
||||
"workspace.lite.providers.allowTraining": "Tillat modeller som trener på forespørselsdata",
|
||||
"workspace.lite.providers.useChina": "Aktiver modeller hostet i Kina",
|
||||
"workspace.lite.black.message":
|
||||
"Du abonnerer for øyeblikket på OpenCode Black eller står på venteliste. Vennligst avslutt abonnementet først hvis du vil bytte til Go.",
|
||||
|
||||
@@ -255,7 +255,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "następującymi wyjątkami",
|
||||
|
||||
"go.title": "OpenCode Go | Niskokosztowe modele do kodowania dla każdego",
|
||||
"go.banner.text": "Hy3 oferuje 8x wyższe limity użycia przez ograniczony czas",
|
||||
"go.banner.text": "DeepSeek V4 Flash oferuje 2x wyższe limity użycia przez ograniczony czas",
|
||||
"go.meta.description":
|
||||
"Go kosztuje $5 za pierwszy miesiąc, a następnie $10/miesiąc, oferując hojne limity użycia i niezawodny dostęp do wiodących modeli do kodowania.",
|
||||
"go.hero.title": "Niskokosztowe modele do kodowania dla każdego",
|
||||
@@ -347,15 +347,12 @@ export const dict = {
|
||||
"go.faq.a5.used": "Wykorzystywane",
|
||||
"go.faq.a5.notUsed": "Niewykorzystywane",
|
||||
"go.faq.a5.noAgreement": "Brak umowy",
|
||||
"go.faq.a5.notZdr": "Nie ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR wyłącza ważne funkcje API zależne od przechowywanych danych, w tym stanowy Responses API, Files and Collections oraz Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Dzienniki monitorowania nadużyć są generowane dla każdego użycia funkcji API i przechowywane przez maksymalnie 30 dni.",
|
||||
"go.faq.a5.learnMore": "Dowiedz się więcej",
|
||||
"go.faq.a5.deepseekRetention": "Umowa ZDR jest odnawiana co miesiąc. Obecna umowa obowiązuje do 31 sierpnia 2026 r.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Znacznie obniżone ceny tokenów w zamian za zgodę na wykorzystanie Twoich promptów i odpowiedzi do trenowania przyszłych modeli Meta.",
|
||||
|
||||
"go.faq.a5.beforeExceptions":
|
||||
"Modele Go są hostowane w USA. Dostawcy stosują politykę zerowej retencji i nie używają Twoich danych do trenowania modeli, z",
|
||||
@@ -396,9 +393,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Model jest wyłączony",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Najnowsza wersja tego modelu jest dostępna wyłącznie jako usługa hostowana w Chinach i wymaga jawnej zgody użytkownika: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Ten model nie jest dostępny w Twoim kraju.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Ten model zbiera dane wykorzystywane do poprawy jego jakości i wymaga wyraźnej zgody użytkownika: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Bezpłatna promocja {{model}} dobiegła końca. Możesz dalej korzystać z modelu, subskrybując OpenCode Go - {{link}}",
|
||||
|
||||
@@ -680,7 +674,6 @@ export const dict = {
|
||||
'Wybierz "OpenCode Go" jako dostawcę w konfiguracji opencode, aby używać modeli Go.',
|
||||
"workspace.lite.providers.title": "Dostawcy",
|
||||
"workspace.lite.providers.description": "Kontroluj, którzy dostawcy są używani do routingu.",
|
||||
"workspace.lite.providers.allowTraining": "Zezwalaj na modele wykorzystujące dane żądań do trenowania",
|
||||
"workspace.lite.providers.useChina": "Włącz modele hostowane w Chinach",
|
||||
"workspace.lite.black.message":
|
||||
"Obecnie subskrybujesz OpenCode Black lub jesteś na liście oczekujących. Jeśli chcesz przejść na Go, najpierw anuluj subskrypcję.",
|
||||
|
||||
@@ -258,7 +258,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "следующими исключениями",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогие модели для кодинга для всех",
|
||||
"go.banner.text": "Hy3 получает 8x лимиты использования на ограниченное время",
|
||||
"go.banner.text": "DeepSeek V4 Flash получает 2x лимиты использования на ограниченное время",
|
||||
"go.meta.description":
|
||||
"Go стоит $5 за первый месяц, затем $10/месяц и предлагает щедрые лимиты использования и надежный доступ к ведущим моделям для кодинга.",
|
||||
"go.hero.title": "Недорогие модели для кодинга для всех",
|
||||
@@ -351,7 +351,6 @@ export const dict = {
|
||||
"go.faq.a5.used": "Используется",
|
||||
"go.faq.a5.notUsed": "Не используется",
|
||||
"go.faq.a5.noAgreement": "Нет соглашения",
|
||||
"go.faq.a5.notZdr": "Не ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR отключает важные функции API, зависящие от сохраненных данных, включая Responses API с сохранением состояния, Files and Collections и Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
@@ -359,8 +358,6 @@ export const dict = {
|
||||
"go.faq.a5.learnMore": "Подробнее",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"Соглашение ZDR продлевается ежемесячно. Текущее соглашение действует до 31 августа 2026 года.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Значительно сниженная стоимость токенов в обмен на разрешение использовать ваши промпты и ответы для обучения будущих моделей Meta.",
|
||||
|
||||
"go.faq.a5.beforeExceptions":
|
||||
"Модели Go размещены в США. Провайдеры следуют политике нулевого хранения и не используют ваши данные для обучения моделей, за",
|
||||
@@ -401,9 +398,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Модель отключена",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Последняя версия этой модели размещена только в Китае. Чтобы использовать её, необходимо явно подтвердить согласие: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Эта модель недоступна в вашей стране.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Эта модель собирает данные, которые используются для улучшения её качества, и требует явного согласия: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Бесплатная акция для {{model}} завершена. Вы можете продолжить использование модели, подписавшись на OpenCode Go - {{link}}",
|
||||
|
||||
@@ -687,7 +681,6 @@ export const dict = {
|
||||
'Выберите "OpenCode Go" в качестве провайдера в настройках opencode для использования моделей Go.',
|
||||
"workspace.lite.providers.title": "Провайдеры",
|
||||
"workspace.lite.providers.description": "Управляйте провайдерами, используемыми для маршрутизации.",
|
||||
"workspace.lite.providers.allowTraining": "Разрешить модели, обучающиеся на данных запросов",
|
||||
"workspace.lite.providers.useChina": "Включить модели, размещенные в Китае",
|
||||
"workspace.lite.black.message":
|
||||
"Вы подписаны на OpenCode Black или находитесь в списке ожидания. Пожалуйста, сначала отмените подписку, если хотите перейти на Go.",
|
||||
|
||||
@@ -253,7 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "ข้อยกเว้นดังนี้",
|
||||
|
||||
"go.title": "OpenCode Go | โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
"go.banner.text": "Hy3 เพิ่มโควตาการใช้งานเป็น 8 เท่าในช่วงเวลาจำกัด",
|
||||
"go.banner.text": "DeepSeek V4 Flash เพิ่มโควตาการใช้งานเป็น 2 เท่าในช่วงเวลาจำกัด",
|
||||
"go.meta.description":
|
||||
"Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดการใช้งานที่เอื้อเฟื้อและการเข้าถึงโมเดลเขียนโค้ดชั้นนำอย่างเชื่อถือได้",
|
||||
"go.hero.title": "โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
@@ -343,13 +343,10 @@ export const dict = {
|
||||
"go.faq.a5.used": "นำไปใช้",
|
||||
"go.faq.a5.notUsed": "ไม่นำไปใช้",
|
||||
"go.faq.a5.noAgreement": "ไม่มีข้อตกลง",
|
||||
"go.faq.a5.notZdr": "ไม่ใช่ ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR ปิดใช้งานฟีเจอร์ API สำคัญที่ต้องอาศัยข้อมูลที่จัดเก็บไว้ ซึ่งรวมถึง Responses API แบบมีสถานะ, Files and Collections และ Batch API",
|
||||
"go.faq.a5.gptRetention":
|
||||
"ระบบจะสร้างบันทึกการตรวจสอบการใช้งานในทางที่ผิดสำหรับการใช้งานฟีเจอร์ API ทั้งหมด และเก็บรักษาไว้นานสูงสุด 30 วัน",
|
||||
"go.faq.a5.museRetention":
|
||||
"ราคาของ token ลดลงอย่างมาก โดยแลกกับการอนุญาตให้นำพรอมต์และผลลัพธ์ที่สร้างขึ้นของคุณไปใช้ฝึกโมเดล Meta ในอนาคต",
|
||||
"go.faq.a5.learnMore": "ดูข้อมูลเพิ่มเติม",
|
||||
"go.faq.a5.deepseekRetention": "ข้อตกลง ZDR จะต่ออายุทุกเดือน ข้อตกลงปัจจุบันมีผลใช้ถึงวันที่ 31 สิงหาคม 2026",
|
||||
|
||||
@@ -391,9 +388,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "โมเดลถูกปิดใช้งาน",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"โมเดลเวอร์ชันล่าสุดนี้ให้บริการเฉพาะผ่านระบบที่โฮสต์ในประเทศจีน และต้องให้ความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "โมเดลนี้ไม่พร้อมให้บริการในประเทศของคุณ",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"โมเดลนี้เก็บรวบรวมข้อมูลที่ใช้เพื่อปรับปรุงคุณภาพของโมเดล และต้องได้รับความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"โปรโมชันฟรีสำหรับ {{model}} สิ้นสุดแล้ว คุณสามารถใช้โมเดลต่อได้โดยสมัครสมาชิก OpenCode Go - {{link}}",
|
||||
|
||||
@@ -675,7 +669,6 @@ export const dict = {
|
||||
'เลือก "OpenCode Go" เป็นผู้ให้บริการในการตั้งค่า opencode ของคุณเพื่อใช้โมเดล Go',
|
||||
"workspace.lite.providers.title": "ผู้ให้บริการ",
|
||||
"workspace.lite.providers.description": "ควบคุมผู้ให้บริการที่ใช้สำหรับการกำหนดเส้นทาง",
|
||||
"workspace.lite.providers.allowTraining": "อนุญาตโมเดลที่ฝึกด้วยข้อมูลคำขอ",
|
||||
"workspace.lite.providers.useChina": "เปิดใช้โมเดลที่โฮสต์ในจีน",
|
||||
"workspace.lite.black.message":
|
||||
"ขณะนี้คุณสมัครสมาชิก OpenCode Black หรืออยู่ในรายการรอ โปรดยกเลิกการสมัครก่อนหากต้องการเปลี่ยนไปใช้ Go",
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "aşağıdaki istisnalar",
|
||||
|
||||
"go.title": "OpenCode Go | Herkes için düşük maliyetli kodlama modelleri",
|
||||
"go.banner.text": "Hy3 sınırlı bir süre için 8x kullanım limiti sunuyor",
|
||||
"go.banner.text": "DeepSeek V4 Flash sınırlı bir süre için 2x kullanım limiti sunuyor",
|
||||
"go.meta.description":
|
||||
"Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; cömert kullanım limitleri ve önde gelen kodlama modellerine güvenilir erişim sunar.",
|
||||
"go.hero.title": "Herkes için düşük maliyetli kodlama modelleri",
|
||||
@@ -349,7 +349,6 @@ export const dict = {
|
||||
"go.faq.a5.used": "Kullanılır",
|
||||
"go.faq.a5.notUsed": "Kullanılmaz",
|
||||
"go.faq.a5.noAgreement": "Anlaşma yok",
|
||||
"go.faq.a5.notZdr": "ZDR değil",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR, durum bilgisi tutan Responses API, Files and Collections ve Batch API dahil olmak üzere saklanan verilere bağlı önemli API özelliklerini devre dışı bırakır.",
|
||||
"go.faq.a5.gptRetention":
|
||||
@@ -357,8 +356,6 @@ export const dict = {
|
||||
"go.faq.a5.learnMore": "Daha fazla bilgi",
|
||||
"go.faq.a5.deepseekRetention":
|
||||
"ZDR anlaşması aylık olarak yenilenir. Mevcut anlaşma 31 Ağustos 2026 tarihine kadar geçerlidir.",
|
||||
"go.faq.a5.museRetention":
|
||||
"İstemlerinizi ve tamamlamalarınızı gelecekteki Meta modellerini eğitmek için kullanma izni karşılığında büyük ölçüde indirimli token fiyatları.",
|
||||
|
||||
"go.faq.a5.beforeExceptions":
|
||||
"Go modelleri ABD'de barındırılmaktadır. Sağlayıcılar sıfır saklama politikası izler ve verilerinizi model eğitimi için kullanmaz; şu",
|
||||
@@ -399,9 +396,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Model devre dışı",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Bu modelin en son sürümü yalnızca Çin'de barındırılıyor ve kullanabilmek için açıkça onay vermeniz gerekiyor: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Bu model ülkenizde kullanılamıyor.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Bu model, kalitesini artırmak için kullanılan verileri toplar. Modeli kullanabilmek için açıkça onay vermeniz gerekir: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"{{model}} için ücretsiz promosyon sona erdi. OpenCode Go'ya abone olarak modeli kullanmaya devam edebilirsiniz - {{link}}",
|
||||
|
||||
@@ -683,7 +677,6 @@ export const dict = {
|
||||
'Go modellerini kullanmak için opencode yapılandırmanızda "OpenCode Go"\'yu sağlayıcı olarak seçin.',
|
||||
"workspace.lite.providers.title": "Sağlayıcılar",
|
||||
"workspace.lite.providers.description": "Yönlendirme için hangi sağlayıcıların kullanılacağını kontrol edin.",
|
||||
"workspace.lite.providers.allowTraining": "İstek verileriyle eğitilen modellere izin ver",
|
||||
"workspace.lite.providers.useChina": "Çin'de barındırılan modelleri etkinleştir",
|
||||
"workspace.lite.black.message":
|
||||
"Şu anda OpenCode Black abonesisiniz veya bekleme listesindesiniz. Go'ya geçmek istiyorsanız lütfen önce aboneliğinizi iptal edin.",
|
||||
|
||||
@@ -255,7 +255,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "такими винятками",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогі моделі кодування для всіх",
|
||||
"go.banner.text": "Hy3 отримує 8x ліміти використання протягом обмеженого часу",
|
||||
"go.banner.text": "DeepSeek V4 Flash отримує 2x ліміти використання протягом обмеженого часу",
|
||||
"go.meta.description":
|
||||
"Go починається від $5 за перший місяць, потім $10/місяць, зі щедрими лімітами використання та надійним доступом до провідних моделей для кодування.",
|
||||
"go.hero.title": "Недорогі моделі кодування для всіх",
|
||||
@@ -347,15 +347,12 @@ export const dict = {
|
||||
"go.faq.a5.used": "Використовується",
|
||||
"go.faq.a5.notUsed": "Не використовується",
|
||||
"go.faq.a5.noAgreement": "Немає угоди",
|
||||
"go.faq.a5.notZdr": "Не ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR вимикає важливі функції API, які залежать від збережених даних, зокрема Responses API зі збереженням стану, Files and Collections та Batch API.",
|
||||
"go.faq.a5.gptRetention":
|
||||
"Журнали моніторингу зловживань створюються для всіх випадків використання функцій API та зберігаються до 30 днів.",
|
||||
"go.faq.a5.learnMore": "Докладніше",
|
||||
"go.faq.a5.deepseekRetention": "Угода ZDR поновлюється щомісяця. Поточна угода дійсна до 31 серпня 2026 року.",
|
||||
"go.faq.a5.museRetention":
|
||||
"Значно знижені ціни на токени в обмін на дозвіл використовувати ваші промпти та відповіді для навчання майбутніх моделей Meta.",
|
||||
|
||||
"go.faq.a5.beforeExceptions":
|
||||
"Моделі Go розміщені в США. Провайдери дотримуються політики нульового зберігання та не використовують ваші дані для навчання моделей, за",
|
||||
@@ -395,9 +392,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Модель вимкнено",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Остання версія цієї моделі доступна лише на серверах у Китаї, і для її використання потрібно надати явну згоду: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Ця модель недоступна у вашій країні.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Ця модель збирає дані, які використовуються для покращення її якості; для її використання потрібна ваша явна згода: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Безкоштовна акція для {{model}} закінчилася. Ви можете продовжити використання, підписавшись на OpenCode Go — {{link}}",
|
||||
|
||||
@@ -678,7 +672,6 @@ export const dict = {
|
||||
"workspace.lite.subscription.selectProvider": 'Виберіть "OpenCode Go" як провайдера в конфігурації opencode.',
|
||||
"workspace.lite.providers.title": "Провайдери",
|
||||
"workspace.lite.providers.description": "Керуйте провайдерами, які використовуються для маршрутизації.",
|
||||
"workspace.lite.providers.allowTraining": "Дозволити моделі, що навчаються на даних запитів",
|
||||
"workspace.lite.providers.useChina": "Увімкнути моделі, розміщені в Китаї",
|
||||
"workspace.lite.black.message":
|
||||
"Ви вже підписані на OpenCode Black або в списку очікування. Спочатку скасуйте підписку, якщо хочете перейти на Go.",
|
||||
|
||||
@@ -244,7 +244,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下例外情况除外",
|
||||
|
||||
"go.title": "OpenCode Go | 人人可用的低成本编程模型",
|
||||
"go.banner.text": "Hy3 限时享受 8 倍使用额度",
|
||||
"go.banner.text": "DeepSeek V4 Flash 限时享受 2 倍使用额度",
|
||||
"go.meta.description": "Go 首月 $5，之后 $10/月，提供充裕的使用限额，并可可靠访问领先的编程模型。",
|
||||
"go.hero.title": "人人可用的低成本编程模型",
|
||||
"go.hero.body":
|
||||
@@ -329,11 +329,9 @@ export const dict = {
|
||||
"go.faq.a5.used": "使用",
|
||||
"go.faq.a5.notUsed": "不使用",
|
||||
"go.faq.a5.noAgreement": "无协议",
|
||||
"go.faq.a5.notZdr": "非 ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR 会禁用依赖所存储数据的重要 API 功能，包括有状态的 Responses API、Files and Collections 和 Batch API。",
|
||||
"go.faq.a5.gptRetention": "所有 API 功能的使用都会生成滥用监控日志，并最多保留 30 天。",
|
||||
"go.faq.a5.museRetention": "以允许使用你的提示词和补全结果训练未来的 Meta 模型为交换，token 价格可获得大幅折扣。",
|
||||
"go.faq.a5.learnMore": "了解更多",
|
||||
"go.faq.a5.deepseekRetention": "ZDR 协议每月续签。当前协议有效期至 2026 年 8 月 31 日。",
|
||||
"go.faq.a5.beforeExceptions": "Go 模型托管在美国。提供商遵循零留存政策，不使用您的数据进行模型训练，",
|
||||
@@ -371,8 +369,6 @@ export const dict = {
|
||||
"zen.api.error.userMonthlyLimitReached": "您已达到每月支出限额 ${{amount}}。请在此处管理您的限额：{{membersUrl}}",
|
||||
"zen.api.error.modelDisabled": "模型已禁用",
|
||||
"zen.api.error.regionNotAllowed": "该模型的最新版本仅在中国提供托管服务，需明确选择启用：{{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "该模型在你所在的国家或地区不可用。",
|
||||
"zen.api.error.trainingNotAllowed": "该模型会收集用于提升其质量的数据，使用前需要你明确同意：{{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded": "{{model}} 的限免活动已结束。您可以订阅 OpenCode Go 继续使用该模型 - {{link}}",
|
||||
|
||||
"black.meta.title": "OpenCode Black | 访问全球顶尖编程模型",
|
||||
@@ -650,7 +646,6 @@ export const dict = {
|
||||
"在你的 opencode 配置中选择「OpenCode Go」作为提供商，即可使用 Go 模型。",
|
||||
"workspace.lite.providers.title": "提供商",
|
||||
"workspace.lite.providers.description": "控制用于路由的提供商。",
|
||||
"workspace.lite.providers.allowTraining": "允许使用请求数据进行训练的模型",
|
||||
"workspace.lite.providers.useChina": "启用部署在中国的模型",
|
||||
"workspace.lite.black.message": "您当前已订阅 OpenCode Black 或在候补名单中。如需切换到 Go，请先取消订阅。",
|
||||
"workspace.lite.other.message": "此工作区中的另一位成员已经订阅了 OpenCode Go。每个工作区只有一名成员可以订阅。",
|
||||
|
||||
@@ -244,7 +244,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下例外情況",
|
||||
|
||||
"go.title": "OpenCode Go | 低成本全民編碼模型",
|
||||
"go.banner.text": "Hy3 限時享有 8 倍使用額度",
|
||||
"go.banner.text": "DeepSeek V4 Flash 限時享有 2 倍使用額度",
|
||||
"go.meta.description": "Go 首月 $5，之後 $10/月，提供充裕的使用限額，並可穩定存取領先的編碼模型。",
|
||||
"go.hero.title": "低成本全民編碼模型",
|
||||
"go.hero.body":
|
||||
@@ -329,11 +329,9 @@ export const dict = {
|
||||
"go.faq.a5.used": "使用",
|
||||
"go.faq.a5.notUsed": "不使用",
|
||||
"go.faq.a5.noAgreement": "無協議",
|
||||
"go.faq.a5.notZdr": "非 ZDR",
|
||||
"go.faq.a5.grokRetention":
|
||||
"ZDR 會停用依賴儲存資料的重要 API 功能，包括具狀態的 Responses API、Files and Collections 與 Batch API。",
|
||||
"go.faq.a5.gptRetention": "所有 API 功能的使用都會產生濫用監控日誌，並保留最多 30 天。",
|
||||
"go.faq.a5.museRetention": "以允許使用您的提示詞和生成結果來訓練未來的 Meta 模型為交換，token 價格可享大幅折扣。",
|
||||
"go.faq.a5.learnMore": "了解更多",
|
||||
"go.faq.a5.deepseekRetention": "ZDR 協議每月續簽。目前的協議有效至 2026 年 8 月 31 日。",
|
||||
"go.faq.a5.beforeExceptions": "Go 模型託管在美國。供應商遵循零留存政策，不會將你的資料用於模型訓練，但有",
|
||||
@@ -371,8 +369,6 @@ export const dict = {
|
||||
"zen.api.error.userMonthlyLimitReached": "你已達到每月支出限額 ${{amount}}。請在此處管理你的限額：{{membersUrl}}",
|
||||
"zen.api.error.modelDisabled": "模型已停用",
|
||||
"zen.api.error.regionNotAllowed": "此模型的最新版本僅於中國託管，且需明確選擇啟用：{{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "此模型無法在你所在的國家或地區使用。",
|
||||
"zen.api.error.trainingNotAllowed": "此模型會收集用於提升其品質的資料，使用前須經你明確同意：{{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded": "{{model}} 的限免活动已結束。您可以訂閱 OpenCode Go 繼續使用該模型 - {{link}}",
|
||||
|
||||
"black.meta.title": "OpenCode Black | 存取全球最佳編碼模型",
|
||||
@@ -650,7 +646,6 @@ export const dict = {
|
||||
"在您的 opencode 設定中選擇「OpenCode Go」作為提供商，即可使用 Go 模型。",
|
||||
"workspace.lite.providers.title": "提供商",
|
||||
"workspace.lite.providers.description": "控制用於路由的提供商。",
|
||||
"workspace.lite.providers.allowTraining": "允許使用請求資料進行訓練的模型",
|
||||
"workspace.lite.providers.useChina": "啟用部署在中國的模型",
|
||||
"workspace.lite.black.message": "您目前已訂閱 OpenCode Black 或在候補名單中。若要切換至 Go，請先取消訂閱。",
|
||||
"workspace.lite.other.message": "此工作區中的另一位成員已訂閱 OpenCode Go。每個工作區只能有一位成員訂閱。",
|
||||
|
||||
@@ -1,78 +1,5 @@
|
||||
const MUSE_SPARK_BLOCKED_COUNTRIES = new Set([
|
||||
"AD",
|
||||
"AF",
|
||||
"AT",
|
||||
"AU",
|
||||
"BE",
|
||||
"BG",
|
||||
"BR",
|
||||
"BY",
|
||||
"CA",
|
||||
"CH",
|
||||
"CN",
|
||||
"CU",
|
||||
"CY",
|
||||
"CZ",
|
||||
"DE",
|
||||
"DK",
|
||||
"EE",
|
||||
"EH",
|
||||
"ER",
|
||||
"ES",
|
||||
"ET",
|
||||
"FI",
|
||||
"FR",
|
||||
"GB",
|
||||
"GR",
|
||||
"HK",
|
||||
"HR",
|
||||
"HT",
|
||||
"HU",
|
||||
"IE",
|
||||
"IQ",
|
||||
"IR",
|
||||
"IS",
|
||||
"IT",
|
||||
"KH",
|
||||
"KP",
|
||||
"KR",
|
||||
"LI",
|
||||
"LT",
|
||||
"LU",
|
||||
"LV",
|
||||
"LY",
|
||||
"MC",
|
||||
"MM",
|
||||
"MO",
|
||||
"MT",
|
||||
"NI",
|
||||
"NL",
|
||||
"NO",
|
||||
"PK",
|
||||
"PL",
|
||||
"PT",
|
||||
"RO",
|
||||
"RU",
|
||||
"SE",
|
||||
"SI",
|
||||
"SK",
|
||||
"SM",
|
||||
"SO",
|
||||
"SY",
|
||||
"VA",
|
||||
"VE",
|
||||
])
|
||||
|
||||
export function countryFromRequest(request: Request | undefined) {
|
||||
if (!request) return undefined
|
||||
const cloudflareRequest = request as Request & { cf?: { country?: string } }
|
||||
return cloudflareRequest.cf?.country ?? request.headers.get("cf-ipcountry") ?? undefined
|
||||
}
|
||||
|
||||
export function isModelCountryRestricted(model: string, country: string | undefined) {
|
||||
return (
|
||||
["muse-spark-1.2-contributor", "muse-spark-1.2-contributor-free"].includes(model) &&
|
||||
country !== undefined &&
|
||||
MUSE_SPARK_BLOCKED_COUNTRIES.has(country.toUpperCase())
|
||||
)
|
||||
}
|
||||
|
||||
@@ -25,7 +25,6 @@ const checkLoggedIn = query(async () => {
|
||||
const models = [
|
||||
{ name: "Grok 4.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
|
||||
{ name: "GPT 5.6 Luna", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
|
||||
{ name: "GLM-5.3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "GLM-5.2", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "GLM-5.1", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "Kimi K3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
@@ -39,7 +38,6 @@ const models = [
|
||||
{ name: "Qwen3.6 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "MiniMax M3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "MiniMax M2.7", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "Muse Spark 1.2 Contributor", training: "go.faq.a5.used", retention: "go.faq.a5.notZdr" },
|
||||
{ name: "DeepSeek V4 Pro", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "DeepSeek V4 Flash", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "Hy3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
@@ -68,18 +66,24 @@ function LimitsGraph(props: { href: string }) {
|
||||
|
||||
const baseline = 100
|
||||
const graph = [
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "50ms" },
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "75ms" },
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "50ms" },
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "75ms" },
|
||||
{ id: "qwen3.8-max", name: "Qwen3.8 Max", req: 160, d: "90ms" },
|
||||
{ id: "glm-5.2", name: "GLM-5.2", req: 880, d: "100ms" },
|
||||
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 1050, d: "150ms" },
|
||||
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", req: 2050, d: "290ms" },
|
||||
{ id: "minimax-m3", name: "MiniMax M3", req: 3200, d: "210ms" },
|
||||
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, d: "270ms" },
|
||||
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", req: 4100, baseReq: 2050, d: "290ms" },
|
||||
{ id: "qwen3.7-plus", name: "Qwen3.7 Plus", req: 4300, d: "300ms" },
|
||||
{ id: "deepseek-v4-flash", name: "DeepSeek V4 Flash", req: 7600, d: "330ms" },
|
||||
{ id: "hy3", name: "Hy3", req: 4300, d: "320ms" },
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, d: "340ms" },
|
||||
{ id: "hy3", name: "Hy3", req: 34400, baseReq: 4300, d: "320ms" },
|
||||
{ id: "muse-spark-1.2-contributor", name: "Muse Spark 1.2 Contributor", req: 45300, edge: true, d: "360ms" },
|
||||
{
|
||||
id: "deepseek-v4-flash",
|
||||
name: "DeepSeek V4 Flash",
|
||||
req: 63300,
|
||||
baseReq: 31650,
|
||||
edge: true,
|
||||
d: "340ms",
|
||||
},
|
||||
]
|
||||
|
||||
const w = 1040
|
||||
@@ -204,7 +208,7 @@ function LimitsGraph(props: { href: string }) {
|
||||
>
|
||||
<span data-value>{m.req.toLocaleString()}</span>
|
||||
<span data-name>{m.name}</span>
|
||||
{m.baseReq && <span data-bonus>8x usage</span>}
|
||||
{m.baseReq && <span data-bonus>2x usage</span>}
|
||||
</span>
|
||||
)}
|
||||
</For>
|
||||
@@ -513,13 +517,6 @@ export default function Home() {
|
||||
</a>
|
||||
.
|
||||
</p>
|
||||
<p>
|
||||
<strong>Muse Spark 1.2 Contributor:</strong> {i18n.t("go.faq.a5.museRetention")}{" "}
|
||||
<a href="https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier">
|
||||
{i18n.t("go.faq.a5.learnMore")}
|
||||
</a>
|
||||
.
|
||||
</p>
|
||||
<p>
|
||||
<strong>DeepSeek V4 Flash:</strong> {i18n.t("go.faq.a5.deepseekRetention")}
|
||||
</p>
|
||||
|
||||
@@ -106,7 +106,6 @@
|
||||
|
||||
[data-slot="setting-row"] {
|
||||
margin-top: 0;
|
||||
padding-block: var(--space-2);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -39,7 +39,6 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
|
||||
timeCreated: LiteTable.timeCreated,
|
||||
lite: BillingTable.lite,
|
||||
region: WorkspaceTable.region,
|
||||
allowTraining: WorkspaceTable.allow_training,
|
||||
})
|
||||
.from(BillingTable)
|
||||
.innerJoin(LiteTable, eq(LiteTable.workspaceID, BillingTable.workspaceID))
|
||||
@@ -55,7 +54,6 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
|
||||
return {
|
||||
mine,
|
||||
useBalance: row.lite?.useBalance ?? false,
|
||||
allowTraining: row.allowTraining ?? false,
|
||||
region:
|
||||
row.region ?? (await Workspace.setDefaultRegion({ country: countryFromRequest(getRequestEvent()?.request) })),
|
||||
rollingUsage: Subscription.analyzeRollingUsage({
|
||||
@@ -156,24 +154,6 @@ const setGoProviderRouting = action(async (form: FormData) => {
|
||||
)
|
||||
}, "go.providerRouting.set")
|
||||
|
||||
const setGoAllowTraining = action(async (form: FormData) => {
|
||||
"use server"
|
||||
const workspaceID = form.get("workspaceID") as string | null
|
||||
if (!workspaceID) return { error: formError.workspaceRequired }
|
||||
const allowTraining = (form.get("allowTraining") as string | null) === "true"
|
||||
|
||||
return json(
|
||||
await withActor(
|
||||
() =>
|
||||
Workspace.update({ allow_training: allowTraining })
|
||||
.then(() => ({ error: undefined }))
|
||||
.catch((e) => ({ error: e.message as string })),
|
||||
workspaceID,
|
||||
),
|
||||
{ revalidate: queryLiteSubscription.key },
|
||||
)
|
||||
}, "go.allowTraining.set")
|
||||
|
||||
function LiteUsageItem(props: { label: string; usage: { usagePercent: number; resetInSec: number } }) {
|
||||
const i18n = useI18n()
|
||||
|
||||
@@ -206,7 +186,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
const checkoutSubmission = useSubmission(createLiteCheckoutUrl)
|
||||
const useBalanceSubmission = useSubmission(setLiteUseBalance)
|
||||
const providerRoutingSubmission = useSubmission(setGoProviderRouting)
|
||||
const allowTrainingSubmission = useSubmission(setGoAllowTraining)
|
||||
const [store, setStore] = createStore({
|
||||
loading: undefined as undefined | "session" | "checkout" | "alipay" | "upi",
|
||||
showModal: false,
|
||||
@@ -285,20 +264,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
<h3>{i18n.t("workspace.lite.providers.title")}</h3>
|
||||
<p>{i18n.t("workspace.lite.providers.description")}</p>
|
||||
</div>
|
||||
<form action={setGoAllowTraining} method="post" data-slot="setting-row">
|
||||
<p>{i18n.t("workspace.lite.providers.allowTraining")}</p>
|
||||
<input type="hidden" name="workspaceID" value={params.id} />
|
||||
<input type="hidden" name="allowTraining" value={sub().allowTraining ? "false" : "true"} />
|
||||
<label data-slot="toggle-label">
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={sub().allowTraining}
|
||||
disabled={allowTrainingSubmission.pending}
|
||||
onChange={(e) => e.currentTarget.form?.requestSubmit()}
|
||||
/>
|
||||
<span></span>
|
||||
</label>
|
||||
</form>
|
||||
<form action={setGoProviderRouting} method="post" data-slot="setting-row">
|
||||
<p>{i18n.t("workspace.lite.providers.useChina")}</p>
|
||||
<input type="hidden" name="workspaceID" value={params.id} />
|
||||
@@ -341,7 +306,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
<ul data-slot="promo-models">
|
||||
<li>Grok 4.5</li>
|
||||
<li>GPT 5.6 Luna</li>
|
||||
<li>GLM-5.3</li>
|
||||
<li>GLM-5.2</li>
|
||||
<li>GLM-5.1</li>
|
||||
<li>Kimi K3</li>
|
||||
@@ -349,7 +313,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
<li>Kimi K2.6</li>
|
||||
<li>MiniMax M3</li>
|
||||
<li>MiniMax M2.7</li>
|
||||
<li>Muse Spark 1.2 Contributor</li>
|
||||
<li>Qwen3.8 Max</li>
|
||||
<li>Qwen3.7 Max</li>
|
||||
<li>Qwen3.7 Plus</li>
|
||||
|
||||
@@ -4,7 +4,6 @@ export class MonthlyLimitError extends Error {}
|
||||
export class UserLimitError extends Error {}
|
||||
export class ModelError extends Error {}
|
||||
export class RegionError extends Error {}
|
||||
export class DataPolicyError extends Error {}
|
||||
|
||||
class LimitError extends Error {
|
||||
retryAfter?: number
|
||||
|
||||
@@ -22,7 +22,6 @@ import {
|
||||
UserLimitError,
|
||||
ModelError,
|
||||
RegionError,
|
||||
DataPolicyError,
|
||||
RateLimitError,
|
||||
FreeUsageLimitError,
|
||||
GoUsageLimitError,
|
||||
@@ -52,7 +51,7 @@ import { createModelTpsLimiter } from "./modelTpsLimiter"
|
||||
import { createProviderBudgetTracker } from "./providerBudgetTracker"
|
||||
import { accumulateUsage, HOT_WORKSPACES } from "./usageBatcher"
|
||||
import { Workspace } from "@opencode-ai/console-core/workspace.js"
|
||||
import { countryFromRequest, isModelCountryRestricted } from "~/lib/request-country"
|
||||
import { countryFromRequest } from "~/lib/request-country"
|
||||
|
||||
type ZenData = Awaited<ReturnType<typeof ZenData.list>>
|
||||
type RetryOptions = {
|
||||
@@ -122,8 +121,6 @@ export async function handler(
|
||||
})
|
||||
const zenData = ZenData.list(opts.modelList)
|
||||
const modelInfo = validateModel(zenData, model)
|
||||
const country = countryFromRequest(input.request)
|
||||
if (isModelCountryRestricted(modelInfo.id, country)) throw new RegionError(t("zen.api.error.countryNotAllowed"))
|
||||
const trialLimiter = createTrialLimiter(modelInfo.trialProvider, ip)
|
||||
const trialProviders = await trialLimiter?.check()
|
||||
const rateLimiter = modelInfo.allowAnonymous
|
||||
@@ -131,23 +128,12 @@ export async function handler(
|
||||
: createKeyRateLimiter(modelInfo.id, modelInfo.rateLimit, zenApiKey, input.request)
|
||||
await rateLimiter?.check()
|
||||
const authInfo = await authenticate(modelInfo, zenApiKey)
|
||||
if (
|
||||
authInfo &&
|
||||
opts.modelList === "lite" &&
|
||||
modelInfo.id === "muse-spark-1.2-contributor" &&
|
||||
!authInfo.allowTraining
|
||||
)
|
||||
throw new DataPolicyError(
|
||||
t("zen.api.error.trainingNotAllowed", {
|
||||
consoleGoUrl: `https://opencode.ai/workspace/${authInfo.workspaceID}/go`,
|
||||
}),
|
||||
)
|
||||
const allowedRegions = authInfo?.region
|
||||
? authInfo.region
|
||||
: await (async () => {
|
||||
if (!authInfo) return
|
||||
return Actor.provide("system", { workspaceID: authInfo.workspaceID }, () =>
|
||||
Workspace.setDefaultRegion({ country }),
|
||||
Workspace.setDefaultRegion({ country: countryFromRequest(input.request) }),
|
||||
)
|
||||
})()
|
||||
if (
|
||||
@@ -261,7 +247,7 @@ export async function handler(
|
||||
headers.delete("host")
|
||||
headers.delete("content-length")
|
||||
headers.delete("x-opencode-request")
|
||||
if (!isNewInference) headers.delete("x-opencode-session")
|
||||
headers.delete("x-opencode-session")
|
||||
headers.delete("x-opencode-project")
|
||||
headers.delete("x-opencode-client")
|
||||
return headers
|
||||
@@ -491,7 +477,7 @@ export async function handler(
|
||||
} catch {}
|
||||
}
|
||||
|
||||
if (error instanceof RegionError || error instanceof DataPolicyError)
|
||||
if (error instanceof RegionError)
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
@@ -722,7 +708,6 @@ export async function handler(
|
||||
workspace: {
|
||||
id: WorkspaceTable.id,
|
||||
region: WorkspaceTable.region,
|
||||
allowTraining: WorkspaceTable.allow_training,
|
||||
isBlocked: WorkspaceTable.is_blocked,
|
||||
isFlaggedByAnthropic: WorkspaceTable.is_flagged_by_anthropic,
|
||||
isFlaggedByOpenAI: WorkspaceTable.is_flagged_by_openai,
|
||||
@@ -835,7 +820,6 @@ export async function handler(
|
||||
apiKeyId: data.apiKey,
|
||||
workspaceID: data.workspace.id,
|
||||
region: data.workspace.region,
|
||||
allowTraining: data.workspace.allowTraining ?? false,
|
||||
billing: data.billing,
|
||||
user: data.user,
|
||||
black: data.black,
|
||||
@@ -1048,14 +1032,11 @@ export async function handler(
|
||||
const { inputTokens, outputTokens, reasoningTokens, cacheReadTokens, cacheWrite5mTokens, cacheWrite1hTokens } =
|
||||
usageInfo
|
||||
|
||||
const hour = new Date().getUTCHours()
|
||||
const modelCost =
|
||||
modelInfo.costPeak && ((hour >= 1 && hour < 4) || (hour >= 6 && hour < 10))
|
||||
? modelInfo.costPeak
|
||||
: modelInfo.cost200K &&
|
||||
inputTokens + (cacheReadTokens ?? 0) + (cacheWrite5mTokens ?? 0) + (cacheWrite1hTokens ?? 0) > 200_000
|
||||
? modelInfo.cost200K
|
||||
: modelInfo.cost
|
||||
modelInfo.cost200K &&
|
||||
inputTokens + (cacheReadTokens ?? 0) + (cacheWrite5mTokens ?? 0) + (cacheWrite1hTokens ?? 0) > 200_000
|
||||
? modelInfo.cost200K
|
||||
: modelInfo.cost
|
||||
|
||||
const inputCost = modelCost.input * inputTokens * 100
|
||||
const outputCost = modelCost.output * outputTokens * 100
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
ALTER TABLE `workspace` ADD `allow_non_zdr` boolean;
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1 +0,0 @@
|
||||
ALTER TABLE `workspace` RENAME COLUMN `allow_non_zdr` TO `allow_training`;
|
||||
File diff suppressed because it is too large
Load Diff
@@ -24,7 +24,6 @@ export namespace ZenData {
|
||||
cost: ModelCostSchema,
|
||||
costMultiplier: z.number().default(1),
|
||||
cost200K: ModelCostSchema.optional(),
|
||||
costPeak: ModelCostSchema.optional(),
|
||||
allowAnonymous: z.boolean().optional(),
|
||||
byokProvider: z.enum(["openai", "anthropic", "google"]).optional(),
|
||||
stickyProvider: z.enum(["strict", "prefer"]).optional(),
|
||||
|
||||
@@ -53,7 +53,6 @@ export const BillingTable = mysqlTable(
|
||||
...workspaceIndexes(table),
|
||||
uniqueIndex("global_customer_id").on(table.customerID),
|
||||
uniqueIndex("global_subscription_id").on(table.subscriptionID),
|
||||
uniqueIndex("global_lite_subscription_id").on(table.liteSubscriptionID),
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { bigint, index, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
|
||||
import { bigint, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
|
||||
import { timestamps, ulid, utc, workspaceColumns } from "../drizzle/types"
|
||||
import { workspaceIndexes } from "./workspace.sql"
|
||||
|
||||
@@ -31,8 +31,5 @@ export const ReferralRewardTable = mysqlTable(
|
||||
amount: bigint("amount", { mode: "number" }).notNull(),
|
||||
timeApplied: utc("time_applied"),
|
||||
},
|
||||
(table) => [
|
||||
primaryKey({ columns: [table.workspaceID, table.referralID] }),
|
||||
index("referral_id").on(table.referralID),
|
||||
],
|
||||
(table) => [primaryKey({ columns: [table.workspaceID, table.referralID] })],
|
||||
)
|
||||
|
||||
@@ -8,7 +8,6 @@ export const WorkspaceTable = mysqlTable(
|
||||
slug: varchar("slug", { length: 255 }),
|
||||
name: varchar("name", { length: 255 }).notNull(),
|
||||
region: json("region").$type<("us" | "eu" | "sg" | "cn")[]>(),
|
||||
allow_training: boolean(),
|
||||
is_blocked: boolean(),
|
||||
is_flagged_by_anthropic: boolean(),
|
||||
is_flagged_by_openai: boolean(),
|
||||
|
||||
@@ -62,7 +62,6 @@ export namespace Workspace {
|
||||
z.object({
|
||||
name: z.string().min(1).max(255).optional(),
|
||||
region: z.array(Region).min(1).optional(),
|
||||
allow_training: z.boolean().optional(),
|
||||
}),
|
||||
async (input) => {
|
||||
Actor.assertAdmin()
|
||||
@@ -73,7 +72,6 @@ export namespace Workspace {
|
||||
.set({
|
||||
...("name" in input ? { name: input.name } : {}),
|
||||
...("region" in input ? { region: input.region } : {}),
|
||||
...("allow_training" in input ? { allow_training: input.allow_training } : {}),
|
||||
})
|
||||
.where(eq(WorkspaceTable.id, workspaceID)),
|
||||
)
|
||||
|
||||
@@ -70,7 +70,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -101,7 +101,7 @@
|
||||
"@parcel/watcher": "2.5.1",
|
||||
"@silvia-odwyer/photon-node": "0.3.4",
|
||||
"@openrouter/ai-sdk-provider": "2.9.0",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
||||
|
||||
@@ -24,15 +24,9 @@ export const CloudflareAIGatewayPlugin = define({
|
||||
apiKey: config.apiKey,
|
||||
options: gatewayOptions(evt.options, metadata),
|
||||
} as any)
|
||||
const unified = createUnified({ apiKey: config.apiKey })
|
||||
evt.sdk = {
|
||||
languageModel(modelID: string) {
|
||||
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
|
||||
// the only one that should receive the Cloudflare token as its upstream Authorization header.
|
||||
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
|
||||
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
|
||||
// gateway's stored/BYOK keys instead.
|
||||
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: config.apiKey } : {})
|
||||
return gateway(unified(modelID))
|
||||
},
|
||||
}
|
||||
|
||||
@@ -13,7 +13,7 @@ import { ConfigProviderV1 } from "../../v1/config/provider"
|
||||
import { ConfigProviderOptionsV1 } from "../../v1/config/provider-options"
|
||||
import { ConfigV1 } from "../../v1/config/config"
|
||||
|
||||
const defaultServer = "https://opencode.ai/console"
|
||||
const defaultServer = "https://console.opencode.ai"
|
||||
const clientID = "opencode-cli"
|
||||
const methodID = Integration.MethodID.make("device")
|
||||
const RemoteResponse = Schema.Struct({ config: ConfigV1.Info })
|
||||
|
||||
@@ -173,6 +173,18 @@ export const buildPrompt = (input: { readonly previousSummary?: string; readonly
|
||||
].join("\n\n")
|
||||
}
|
||||
|
||||
export const buildReplayPrompt = (previousSummary?: string) => {
|
||||
const instruction =
|
||||
"Create a new anchored summary from the conversation messages above so another coding agent can continue the work."
|
||||
if (!previousSummary) return [instruction, SUMMARY_TEMPLATE].join("\n\n")
|
||||
return [
|
||||
instruction,
|
||||
`Here is the summary of the conversation before the messages above:\n\n<prior-summary>\n${previousSummary}\n</prior-summary>`,
|
||||
SUMMARY_UPDATE_INSTRUCTIONS,
|
||||
SUMMARY_TEMPLATE,
|
||||
].join("\n\n")
|
||||
}
|
||||
|
||||
export const make = (dependencies: Dependencies) => {
|
||||
const config = settings(dependencies.config)
|
||||
const compactAfterOverflow = Effect.fn("SessionCompaction.compactAfterOverflow")(function* (input: Input) {
|
||||
@@ -202,7 +214,6 @@ export const make = (dependencies: Dependencies) => {
|
||||
.stream(
|
||||
LLM.request({
|
||||
model: input.model,
|
||||
http: input.request.http,
|
||||
messages: [Message.user(summaryPrompt)],
|
||||
tools: [],
|
||||
generation: { maxTokens: summaryOutput },
|
||||
|
||||
@@ -12,6 +12,7 @@ import { SessionMessage } from "./message"
|
||||
import { SessionMessageUpdater } from "./message-updater"
|
||||
import { SessionInput } from "./input"
|
||||
import { WorkspaceV2 } from "../workspace"
|
||||
import { SessionContextEpoch } from "./context-epoch"
|
||||
import { MessageTable, PartTable, SessionInputTable, SessionMessageTable, SessionTable } from "./sql"
|
||||
import type { DeepMutable } from "../schema"
|
||||
|
||||
@@ -252,6 +253,7 @@ const layer = Layer.effectDiscard(
|
||||
.where(eq(SessionTable.id, event.data.sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* SessionContextEpoch.reset(db, event.data.sessionID)
|
||||
}),
|
||||
)
|
||||
yield* events.project(SessionV1.Event.Deleted, (event) =>
|
||||
@@ -447,6 +449,7 @@ const layer = Layer.effectDiscard(
|
||||
.where(eq(SessionTable.id, event.data.sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* SessionContextEpoch.reset(db, event.data.sessionID)
|
||||
}),
|
||||
)
|
||||
}),
|
||||
|
||||
@@ -204,13 +204,6 @@ const layer = Layer.effect(
|
||||
const promptCacheKey = /^ses_[0-9a-f]{64}$/.test(session.id) ? session.id.slice(4) : session.id
|
||||
const request = LLM.request({
|
||||
model,
|
||||
http: {
|
||||
headers: {
|
||||
"x-session-affinity": session.id,
|
||||
"X-Session-Id": session.id,
|
||||
...(session.parentID ? { "x-parent-session-id": session.parentID } : {}),
|
||||
},
|
||||
},
|
||||
providerOptions: { openai: { promptCacheKey } },
|
||||
system: [agent.info?.system, system.baseline]
|
||||
.filter((part): part is string => part !== undefined && part.length > 0)
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { describe, expect } from "bun:test"
|
||||
import { DateTime, Effect, Schema } from "effect"
|
||||
import { asc, eq, sql } from "drizzle-orm"
|
||||
import { asc, eq } from "drizzle-orm"
|
||||
import { Database } from "@opencode-ai/core/database/database"
|
||||
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
|
||||
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
|
||||
@@ -22,7 +22,6 @@ import { SessionInput } from "@opencode-ai/core/session/input"
|
||||
import { SessionInputTable, SessionMessageTable, SessionTable } from "@opencode-ai/core/session/sql"
|
||||
import { testEffect } from "./lib/effect"
|
||||
import { Snapshot } from "@opencode-ai/core/snapshot"
|
||||
import { Location } from "@opencode-ai/core/location"
|
||||
|
||||
const it = testEffect(AppNodeBuilder.build(LayerNode.group([Database.node, EventV2.node, SessionProjector.node])))
|
||||
const sessionsLayer = AppNodeBuilder.build(SessionV2.node, [[SessionExecution.node, SessionExecution.noopLayer]])
|
||||
@@ -45,39 +44,6 @@ const assistantRow = (
|
||||
}
|
||||
|
||||
describe("SessionProjector", () => {
|
||||
it.effect("projects moved sessions without the transitional context epoch table", () =>
|
||||
Effect.gen(function* () {
|
||||
const { db } = yield* Database.Service
|
||||
const events = yield* EventV2.Service
|
||||
yield* db
|
||||
.insert(ProjectTable)
|
||||
.values({ id: Project.ID.global, worktree: AbsolutePath.make("/project"), sandboxes: [] })
|
||||
.run()
|
||||
yield* db
|
||||
.insert(SessionTable)
|
||||
.values({
|
||||
id: sessionID,
|
||||
project_id: Project.ID.global,
|
||||
slug: "test",
|
||||
directory: "/project",
|
||||
title: "test",
|
||||
version: "test",
|
||||
})
|
||||
.run()
|
||||
yield* db.run(sql`DROP TABLE session_context_epoch`)
|
||||
|
||||
yield* events.publish(SessionEvent.Moved, {
|
||||
sessionID,
|
||||
timestamp: DateTime.makeUnsafe(1),
|
||||
location: Location.Ref.make({ directory: AbsolutePath.make("/project/subdir") }),
|
||||
})
|
||||
|
||||
expect(yield* db.select({ directory: SessionTable.directory }).from(SessionTable).get()).toEqual({
|
||||
directory: "/project/subdir",
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("projects staged, cleared, and committed reverts", () =>
|
||||
Effect.gen(function* () {
|
||||
const db = (yield* Database.Service).db
|
||||
|
||||
@@ -703,6 +703,13 @@ describe("SessionRunnerLLM", () => {
|
||||
timestamp: DateTime.makeUnsafe(1),
|
||||
location: Location.Ref.make({ directory: AbsolutePath.make("/moved") }),
|
||||
})
|
||||
expect(
|
||||
yield* db
|
||||
.select()
|
||||
.from(SessionContextEpochTable)
|
||||
.where(eq(SessionContextEpochTable.session_id, sessionID))
|
||||
.get(),
|
||||
).toBeUndefined()
|
||||
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Second" }), resume: false })
|
||||
const exit = yield* session.resume(sessionID).pipe(Effect.exit)
|
||||
@@ -1101,16 +1108,6 @@ describe("SessionRunnerLLM", () => {
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
expect(requests.map((request) => request.http?.headers)).toEqual([
|
||||
{
|
||||
"x-session-affinity": sessionID,
|
||||
"X-Session-Id": sessionID,
|
||||
},
|
||||
{
|
||||
"x-session-affinity": sessionID,
|
||||
"X-Session-Id": sessionID,
|
||||
},
|
||||
])
|
||||
expect(userTexts(requests[0])[0]).toContain("## Objective")
|
||||
expect(userTexts(requests[1])).toHaveLength(1)
|
||||
expect(userTexts(requests[1])[0]).toContain("<summary>\n## Objective\n- Preserve the task\n</summary>")
|
||||
@@ -2518,43 +2515,6 @@ describe("SessionRunnerLLM", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("adds session correlation headers to model requests", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run correlated request" }), resume: false })
|
||||
|
||||
requests.length = 0
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests[0]?.http?.headers).toEqual({
|
||||
"x-session-affinity": sessionID,
|
||||
"X-Session-Id": sessionID,
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("adds the parent session header to child model requests", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
const parentID = SessionV2.ID.make("ses_runner_parent")
|
||||
const { db } = yield* Database.Service
|
||||
yield* db
|
||||
.update(SessionTable)
|
||||
.set({ parent_id: parentID })
|
||||
.where(eq(SessionTable.id, sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run child request" }), resume: false })
|
||||
|
||||
requests.length = 0
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests[0]?.http?.headers?.["x-parent-session-id"]).toBe(parentID)
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("bounds 64-character session prompt cache keys", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
|
||||
@@ -64,7 +64,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -111,7 +111,7 @@
|
||||
"@types/ws": "8.18.1",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
|
||||
@@ -216,21 +216,6 @@ const layer = Layer.effect(
|
||||
mode: "subagent",
|
||||
native: true,
|
||||
},
|
||||
compaction: {
|
||||
name: "compaction",
|
||||
mode: "primary",
|
||||
native: true,
|
||||
hidden: true,
|
||||
prompt: PROMPT_COMPACTION,
|
||||
permission: Permission.merge(
|
||||
defaults,
|
||||
Permission.fromConfig({
|
||||
"*": "deny",
|
||||
}),
|
||||
user,
|
||||
),
|
||||
options: {},
|
||||
},
|
||||
title: {
|
||||
name: "title",
|
||||
mode: "primary",
|
||||
@@ -270,6 +255,26 @@ const layer = Layer.effect(
|
||||
continue
|
||||
}
|
||||
let item = agents[key]
|
||||
// The compaction agent is not registered by default: compaction inherits
|
||||
// the session's active agent so its request stays prefix-identical for
|
||||
// prompt caching. An explicit `agent.compaction` config opts into the
|
||||
// legacy dedicated agent, seeded here so overrides merge as before.
|
||||
if (!item && key === "compaction")
|
||||
item = agents[key] = {
|
||||
name: "compaction",
|
||||
mode: "primary",
|
||||
native: true,
|
||||
hidden: true,
|
||||
prompt: PROMPT_COMPACTION,
|
||||
permission: Permission.merge(
|
||||
defaults,
|
||||
Permission.fromConfig({
|
||||
"*": "deny",
|
||||
}),
|
||||
user,
|
||||
),
|
||||
options: {},
|
||||
}
|
||||
if (!item)
|
||||
item = agents[key] = {
|
||||
name: key,
|
||||
|
||||
@@ -15,7 +15,7 @@ const dim = (value: string) => UI.Style.TEXT_DIM + value + UI.Style.TEXT_NORMAL
|
||||
|
||||
const activeSuffix = (isActive: boolean) => (isActive ? dim(" (active)") : "")
|
||||
|
||||
export const defaultConsoleUrl = "https://opencode.ai/console"
|
||||
export const defaultConsoleUrl = "https://console.opencode.ai"
|
||||
|
||||
export const formatAccountLabel = (account: { email: string; url: string }, isActive: boolean) =>
|
||||
`${account.email} ${dim(account.url)}${activeSuffix(isActive)}`
|
||||
|
||||
@@ -714,7 +714,6 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const list = Effect.fn("Workspace.list")(function* (project: Project.Info) {
|
||||
if (!flags.experimentalWorkspaces) return []
|
||||
return (yield* db
|
||||
.select()
|
||||
.from(WorkspaceTable)
|
||||
@@ -852,7 +851,6 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const startWorkspaceSyncing = Effect.fn("Workspace.startWorkspaceSyncing")(function* (projectID: ProjectV2.ID) {
|
||||
if (!flags.experimentalWorkspaces) return
|
||||
const rows = yield* db
|
||||
.selectDistinct({ workspace: WorkspaceTable })
|
||||
.from(WorkspaceTable)
|
||||
|
||||
@@ -61,5 +61,16 @@ export async function CloudflareAIGatewayAuthPlugin(_input: PluginInput): Promis
|
||||
},
|
||||
],
|
||||
},
|
||||
"chat.params": async (input, output) => {
|
||||
if (input.model.providerID !== "cloudflare-ai-gateway") return
|
||||
// The unified gateway routes through @ai-sdk/openai-compatible, which
|
||||
// always emits max_tokens. OpenAI reasoning models (gpt-5.x, o-series)
|
||||
// reject that field and require max_completion_tokens instead, and the
|
||||
// compatible SDK has no way to rename it. Drop the cap so OpenAI falls
|
||||
// back to the model's default output budget.
|
||||
if (!input.model.api.id.toLowerCase().startsWith("openai/")) return
|
||||
if (!input.model.capabilities.reasoning) return
|
||||
output.maxOutputTokens = undefined
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -37,12 +37,10 @@ function base64UrlEncode(buffer: ArrayBuffer): string {
|
||||
|
||||
export interface IdTokenClaims {
|
||||
chatgpt_account_id?: string
|
||||
chatgpt_compute_residency?: string
|
||||
organizations?: Array<{ id: string }>
|
||||
email?: string
|
||||
"https://api.openai.com/auth"?: {
|
||||
chatgpt_account_id?: string
|
||||
chatgpt_compute_residency?: string
|
||||
}
|
||||
}
|
||||
|
||||
@@ -77,14 +75,6 @@ export function extractAccountId(tokens: TokenResponse): string | undefined {
|
||||
return undefined
|
||||
}
|
||||
|
||||
export function extractResidency(token: string): string | undefined {
|
||||
const claims = parseJwtClaims(token)
|
||||
const residency =
|
||||
claims?.["https://api.openai.com/auth"]?.chatgpt_compute_residency ?? claims?.chatgpt_compute_residency
|
||||
if (!residency || residency === "no_constraint") return undefined
|
||||
return residency
|
||||
}
|
||||
|
||||
function buildAuthorizeUrl(redirectUri: string, pkce: PkceCodes, state: string): string {
|
||||
const params = new URLSearchParams({
|
||||
response_type: "code",
|
||||
@@ -309,11 +299,16 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
|
||||
output: 0,
|
||||
cache: { read: 0, write: 0 },
|
||||
},
|
||||
limit:
|
||||
model.id.includes("gpt-5.5") || model.id.includes("gpt-5.6")
|
||||
limit: model.id.includes("gpt-5.5")
|
||||
? {
|
||||
context: 400_000,
|
||||
input: 272_000,
|
||||
output: 128_000,
|
||||
}
|
||||
: model.id.includes("gpt-5.6")
|
||||
? {
|
||||
context: 400_000,
|
||||
input: 272_000,
|
||||
context: 500_000,
|
||||
input: 372_000,
|
||||
output: 128_000,
|
||||
}
|
||||
: model.limit,
|
||||
@@ -416,12 +411,10 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
|
||||
requestInput instanceof URL
|
||||
? requestInput
|
||||
: new URL(typeof requestInput === "string" ? requestInput : requestInput.url)
|
||||
const rewrite = parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
|
||||
const url = rewrite ? new URL(codexApiEndpoint) : parsed
|
||||
if (rewrite) {
|
||||
const residency = extractResidency(currentAuth.access)
|
||||
if (residency) headers.set("x-openai-internal-codex-residency", residency)
|
||||
}
|
||||
const url =
|
||||
parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
|
||||
? new URL(codexApiEndpoint)
|
||||
: parsed
|
||||
|
||||
const requestInit = {
|
||||
...init,
|
||||
|
||||
@@ -110,11 +110,10 @@ export function createWebSocketFetch(options?: CreateWebSocketFetchOptions) {
|
||||
invalidate(entry)
|
||||
}
|
||||
},
|
||||
onConnectionInvalid: (_error, closeCode) => {
|
||||
onConnectionInvalid: (error) => {
|
||||
entry.busy = false
|
||||
entry.lastUsedAt = Date.now()
|
||||
if (closeCode === OpenAIWebSocket.MESSAGE_TOO_BIG_CLOSE_CODE) entry.fallback = true
|
||||
else if (!entry.fallback) recordStreamFailure(entry)
|
||||
if (!entry.fallback) recordStreamFailure(entry)
|
||||
invalidate(entry)
|
||||
resolveFirstEvent(false)
|
||||
},
|
||||
|
||||
@@ -9,7 +9,6 @@ import { ProxyEnv } from "@/util/proxy-env"
|
||||
import { isRecord } from "@/util/record"
|
||||
|
||||
export const PROTOCOL_HEADER = "responses_websockets=2026-02-06"
|
||||
export const MESSAGE_TOO_BIG_CLOSE_CODE = 1009
|
||||
|
||||
export interface ConnectResponsesWebSocketOptions {
|
||||
url: string
|
||||
@@ -27,7 +26,7 @@ export interface StreamResponsesWebSocketOptions {
|
||||
onComplete?: (event: Record<string, unknown>) => void
|
||||
onTerminal?: (event: Record<string, unknown>) => void
|
||||
onRetryableTerminal?: (event: Record<string, unknown>) => Promise<WebSocket | undefined>
|
||||
onConnectionInvalid?: (error: ProviderError.ResponseStreamError, closeCode?: number) => void
|
||||
onConnectionInvalid?: (error: ProviderError.ResponseStreamError) => void
|
||||
onAbort?: (error: Error) => void
|
||||
}
|
||||
|
||||
@@ -163,11 +162,11 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
|
||||
controller?.close()
|
||||
}
|
||||
|
||||
function invalidate(error: ProviderError.ResponseStreamError, closeCode?: number) {
|
||||
function invalidate(error: ProviderError.ResponseStreamError) {
|
||||
if (completed) return
|
||||
completed = true
|
||||
cleanup()
|
||||
options.onConnectionInvalid?.(error, closeCode)
|
||||
options.onConnectionInvalid?.(error)
|
||||
controller?.error(error)
|
||||
}
|
||||
|
||||
@@ -275,7 +274,6 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
|
||||
if (completed) return
|
||||
invalidate(
|
||||
new ProviderError.ResponseStreamError(closeMessage("WebSocket closed before response.completed", code, reason)),
|
||||
code,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -375,7 +373,7 @@ function abortError(signal: AbortSignal | undefined) {
|
||||
|
||||
function closeMessage(message: string, code: number, reason: Buffer) {
|
||||
const details = [`code ${code}`]
|
||||
if (code === MESSAGE_TOO_BIG_CLOSE_CODE) details.push("message too big")
|
||||
if (code === 1009) details.push("message too big")
|
||||
if (reason.length > 0) details.push(reason.toString())
|
||||
return `${message} (${details.join(": ")})`
|
||||
}
|
||||
|
||||
@@ -800,10 +800,9 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
|
||||
)
|
||||
}
|
||||
|
||||
// Use official ai-gateway-provider package (v2.x for AI SDK v5 compatibility)
|
||||
const { createAiGateway } = yield* Effect.promise(() => import("ai-gateway-provider"))
|
||||
const { createUnified } = yield* Effect.promise(() => import("ai-gateway-provider/providers/unified"))
|
||||
const { createOpenAI } = yield* Effect.promise(() => import("ai-gateway-provider/providers/openai"))
|
||||
const { createAnthropic } = yield* Effect.promise(() => import("ai-gateway-provider/providers/anthropic"))
|
||||
|
||||
const metadata = iife(() => {
|
||||
if (input.options?.metadata) return input.options.metadata
|
||||
@@ -830,23 +829,12 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
|
||||
apiKey: apiToken,
|
||||
...(Object.values(opts).some((v) => v !== undefined) ? { options: opts } : {}),
|
||||
})
|
||||
const unified = createUnified({ apiKey: apiToken })
|
||||
|
||||
return {
|
||||
autoload: true,
|
||||
async getModel(_sdk: any, modelID: string, _options?: Record<string, any>) {
|
||||
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5").
|
||||
// OpenAI and Anthropic ride their native passthrough routes so agents get the Responses
|
||||
// and Messages APIs; new OpenAI models reject tools+reasoning_effort on chat completions.
|
||||
// The passthrough wrappers inject a CF_TEMP_TOKEN sentinel that the gateway strips before
|
||||
// dispatch, so upstream billing stays on the gateway (Unified Billing / stored BYOK).
|
||||
if (modelID.startsWith("openai/")) return aigateway(createOpenAI()(modelID.slice("openai/".length)))
|
||||
if (modelID.startsWith("anthropic/")) return aigateway(createAnthropic()(modelID.slice("anthropic/".length)))
|
||||
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
|
||||
// the only one that should receive the Cloudflare token as its upstream Authorization header.
|
||||
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
|
||||
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
|
||||
// gateway's stored/BYOK keys instead.
|
||||
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: apiToken } : {})
|
||||
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5")
|
||||
return aigateway(unified(modelID))
|
||||
},
|
||||
options: {},
|
||||
@@ -1221,17 +1209,6 @@ function cost(c: ModelsDev.Model["cost"]): Model["cost"] {
|
||||
return result
|
||||
}
|
||||
|
||||
// Cloudflare AI Gateway routes OpenAI and Anthropic models through their native
|
||||
// passthrough SDKs (Responses / Messages APIs). Resolving the native npm before
|
||||
// variants are computed makes reasoning variants produce payloads the native
|
||||
// SDKs understand (e.g. anthropic `effort` instead of compat `reasoningEffort`).
|
||||
function cloudflareGatewayNpm(providerID: string, modelID: string) {
|
||||
if (providerID !== "cloudflare-ai-gateway") return undefined
|
||||
if (modelID.startsWith("openai/")) return "@ai-sdk/openai"
|
||||
if (modelID.startsWith("anthropic/")) return "@ai-sdk/anthropic"
|
||||
return undefined
|
||||
}
|
||||
|
||||
function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model): Model {
|
||||
const base: Model = {
|
||||
id: ModelV2.ID.make(model.id),
|
||||
@@ -1241,11 +1218,7 @@ function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model
|
||||
api: {
|
||||
id: model.id,
|
||||
url: model.provider?.api ?? provider.api ?? "",
|
||||
npm:
|
||||
cloudflareGatewayNpm(provider.id, model.id) ??
|
||||
model.provider?.npm ??
|
||||
provider.npm ??
|
||||
"@ai-sdk/openai-compatible",
|
||||
npm: model.provider?.npm ?? provider.npm ?? "@ai-sdk/openai-compatible",
|
||||
},
|
||||
status: model.status ?? "active",
|
||||
headers: {},
|
||||
@@ -1467,9 +1440,6 @@ const layer = Layer.effect(
|
||||
model.provider?.npm ??
|
||||
provider.npm ??
|
||||
existingModel?.api.npm ??
|
||||
// Config-defined gateway models bypass fromModelsDevModel, so resolve the
|
||||
// native passthrough npm here before falling back to the catalog default.
|
||||
cloudflareGatewayNpm(providerID, apiID) ??
|
||||
modelsDev[providerID]?.npm ??
|
||||
"@ai-sdk/openai-compatible"
|
||||
const name = iife(() => {
|
||||
@@ -1649,7 +1619,6 @@ const layer = Layer.effect(
|
||||
|
||||
for (const [modelID, model] of Object.entries(provider.models)) {
|
||||
model.api.id = model.api.id ?? model.id ?? modelID
|
||||
|
||||
if (
|
||||
// These chat aliases are invalid for the special handling in the
|
||||
// built-in providers below, but custom providers may support them.
|
||||
|
||||
@@ -528,6 +528,7 @@ const GEMINI_MODELS_WITH_SAMPLING_DEFAULTS = [
|
||||
export function temperature(model: Provider.Model) {
|
||||
const id = model.api.id.toLowerCase()
|
||||
if (id.includes("north-mini-code")) return 1.0
|
||||
if (id.includes("qwen")) return 0.55
|
||||
if (id.includes("claude")) return undefined
|
||||
if (id.includes("gemini"))
|
||||
return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 1.0 : undefined
|
||||
@@ -546,6 +547,7 @@ export function temperature(model: Provider.Model) {
|
||||
|
||||
export function topP(model: Provider.Model) {
|
||||
const id = model.api.id.toLowerCase()
|
||||
if (id.includes("qwen")) return 1
|
||||
if (id.includes("gemini"))
|
||||
return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 0.95 : undefined
|
||||
if (["minimax-m2", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
|
||||
|
||||
@@ -2,7 +2,6 @@ import { ProviderAuth } from "@/provider/auth"
|
||||
import { Config } from "@/config/config"
|
||||
import { ModelsDev } from "@opencode-ai/core/models-dev"
|
||||
import { Provider } from "@/provider/provider"
|
||||
import { Auth } from "@/auth"
|
||||
|
||||
import { mapValues } from "remeda"
|
||||
import { Effect, Schema } from "effect"
|
||||
@@ -37,7 +36,6 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
|
||||
const cfg = yield* Config.Service
|
||||
const provider = yield* Provider.Service
|
||||
const svc = yield* ProviderAuth.Service
|
||||
const authStore = yield* Auth.Service
|
||||
|
||||
const list = Effect.fn("ProviderHttpApi.list")(function* () {
|
||||
const config = yield* cfg.get()
|
||||
@@ -49,7 +47,6 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
|
||||
if ((enabled ? enabled.has(key) : true) && !disabled.has(key)) filtered[key] = value
|
||||
}
|
||||
const connected = yield* provider.list()
|
||||
const credentials = yield* authStore.all().pipe(Effect.orDie)
|
||||
const providers = Object.assign(
|
||||
mapValues(filtered, (item) => Provider.fromModelsDevProvider(item)),
|
||||
connected,
|
||||
@@ -57,7 +54,7 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
|
||||
return {
|
||||
all: Object.values(providers).map(Provider.toPublicInfo),
|
||||
default: Provider.defaultModelIDs(providers),
|
||||
connected: Object.keys(providers).filter((id) => id in connected || credentials[id]),
|
||||
connected: Object.keys(connected),
|
||||
}
|
||||
})
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ import { RuntimeFlags } from "@/effect/runtime-flags"
|
||||
import { EventV2Bridge } from "@/event-v2-bridge"
|
||||
import { ProviderV2 } from "@opencode-ai/core/provider"
|
||||
import { ModelV2 } from "@opencode-ai/core/model"
|
||||
import { buildPrompt } from "@opencode-ai/core/session/compaction"
|
||||
import { buildPrompt, buildReplayPrompt } from "@opencode-ai/core/session/compaction"
|
||||
import { SessionCompactionEvent } from "@opencode-ai/schema/session-compaction-event"
|
||||
|
||||
export const Event = SessionCompactionEvent
|
||||
@@ -162,6 +162,15 @@ function splitTurn(input: {
|
||||
})
|
||||
}
|
||||
|
||||
export type Run = (input: {
|
||||
user: SessionV1.User
|
||||
agent: Agent.Info
|
||||
model: Provider.Model
|
||||
processor: SessionProcessor.Handle
|
||||
messages: SessionV1.WithParts[]
|
||||
prompt: string
|
||||
}) => Effect.Effect<SessionProcessor.Result>
|
||||
|
||||
export interface Interface {
|
||||
readonly isOverflow: (input: {
|
||||
tokens: SessionV1.Assistant["tokens"]
|
||||
@@ -174,6 +183,7 @@ export interface Interface {
|
||||
sessionID: SessionID
|
||||
auto: boolean
|
||||
overflow?: boolean
|
||||
run?: Run
|
||||
}) => Effect.Effect<"continue" | "stop">
|
||||
readonly create: (input: {
|
||||
sessionID: SessionID
|
||||
@@ -322,6 +332,7 @@ const layer = Layer.effect(
|
||||
sessionID: SessionID
|
||||
auto: boolean
|
||||
overflow?: boolean
|
||||
run?: Run
|
||||
}) {
|
||||
const parent = input.messages.findLast((m) => m.info.id === input.parentID)
|
||||
if (!parent || parent.info.role !== "user") {
|
||||
@@ -355,11 +366,13 @@ const layer = Layer.effect(
|
||||
}
|
||||
}
|
||||
|
||||
const agent = yield* agents.get("compaction")
|
||||
const model = agent.model
|
||||
? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
|
||||
: yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
|
||||
const cfg = yield* config.get()
|
||||
const configured = cfg.agent?.compaction !== undefined
|
||||
const agent = yield* agents.get(configured ? "compaction" : userMessage.agent)
|
||||
const model =
|
||||
configured && agent.model
|
||||
? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
|
||||
: yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
|
||||
const history = compactionPart && messages.at(-1)?.info.id === input.parentID ? messages.slice(0, -1) : messages
|
||||
const prior = completedCompactions(history)
|
||||
const hidden = new Set(prior.flatMap((item) => [item.userIndex, item.assistantIndex]))
|
||||
@@ -377,18 +390,16 @@ const layer = Layer.effect(
|
||||
)
|
||||
const msgs = structuredClone(selected.head)
|
||||
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
|
||||
const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
|
||||
const nextPrompt =
|
||||
// A configured compaction agent keeps the legacy serialized-transcript path.
|
||||
const run = configured ? undefined : input.run
|
||||
const conversation = run ? "" : msgs.map(serialize).filter(Boolean).join("\n\n")
|
||||
const nextPrompt = [
|
||||
compacting.prompt ??
|
||||
[
|
||||
buildPrompt({
|
||||
previousSummary,
|
||||
context: [conversation],
|
||||
}),
|
||||
...compacting.context,
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n")
|
||||
(run ? buildReplayPrompt(previousSummary) : buildPrompt({ previousSummary, context: [conversation] })),
|
||||
...compacting.context,
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n")
|
||||
const ctx = yield* InstanceState.context
|
||||
const msg: SessionV1.Assistant = {
|
||||
id: MessageID.ascending(),
|
||||
@@ -422,30 +433,43 @@ const layer = Layer.effect(
|
||||
sessionID: input.sessionID,
|
||||
model,
|
||||
})
|
||||
const result = yield* processor.process({
|
||||
user: userMessage,
|
||||
agent,
|
||||
sessionID: input.sessionID,
|
||||
tools: {},
|
||||
system: [],
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
// The synthetic compaction marker carries no per-turn system/tools settings.
|
||||
const active = msgs.findLast(
|
||||
(message) => message.info.role === "user" && !message.parts.some((part) => part.type === "compaction"),
|
||||
)
|
||||
const result = run
|
||||
? yield* run({
|
||||
user: active?.info.role === "user" ? active.info : userMessage,
|
||||
agent,
|
||||
model,
|
||||
processor,
|
||||
messages: msgs,
|
||||
prompt: nextPrompt,
|
||||
})
|
||||
: yield* processor.process({
|
||||
user: userMessage,
|
||||
agent,
|
||||
sessionID: input.sessionID,
|
||||
tools: {},
|
||||
system: [],
|
||||
messages: [
|
||||
{
|
||||
type: "text",
|
||||
text: [
|
||||
nextPrompt,
|
||||
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n"),
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: [
|
||||
nextPrompt,
|
||||
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n"),
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
model,
|
||||
})
|
||||
model,
|
||||
})
|
||||
|
||||
if (result === "compact") {
|
||||
processor.message.error = new SessionV1.ContextOverflowError({
|
||||
|
||||
@@ -149,6 +149,45 @@ const layer = Layer.effect(
|
||||
} satisfies TaskPromptOps
|
||||
})
|
||||
|
||||
// One assembly path keeps compaction requests prefix-identical to normal turns for prompt caching.
|
||||
const prepare = Effect.fn("SessionPrompt.prepare")(function* (input: {
|
||||
session: Session.Info
|
||||
agent: Agent.Info
|
||||
model: Provider.Model
|
||||
processor: SessionProcessor.Handle
|
||||
messages: SessionV1.WithParts[]
|
||||
}) {
|
||||
const lastUserMsg = input.messages.findLast((message) => message.info.role === "user")
|
||||
const tools = yield* SessionTools.resolve({
|
||||
agent: input.agent,
|
||||
session: input.session,
|
||||
model: input.model,
|
||||
processor: input.processor,
|
||||
bypassAgentCheck: lastUserMsg?.parts.some((part) => part.type === "agent") ?? false,
|
||||
messages: input.messages,
|
||||
promptOps: yield* ops(),
|
||||
}).pipe(
|
||||
Effect.provideService(Plugin.Service, plugin),
|
||||
Effect.provideService(Permission.Service, permission),
|
||||
Effect.provideService(ToolRegistry.Service, registry),
|
||||
Effect.provideService(MCP.Service, mcp),
|
||||
Effect.provideService(Truncate.Service, truncate),
|
||||
Effect.provideService(RuntimeFlags.Service, flags),
|
||||
)
|
||||
const [skills, env, instructions, mcpInstructions, modelMessages] = yield* Effect.all([
|
||||
sys.skills(input.agent),
|
||||
sys.environment(input.model),
|
||||
instruction.system().pipe(Effect.orDie),
|
||||
sys.mcp(input.agent, input.session.permission),
|
||||
MessageV2.toModelMessagesEffect(input.messages, input.model),
|
||||
])
|
||||
return {
|
||||
tools,
|
||||
modelMessages,
|
||||
system: [...env, ...instructions, ...(mcpInstructions ? [mcpInstructions] : []), ...(skills ? [skills] : [])],
|
||||
}
|
||||
})
|
||||
|
||||
const cancel = Effect.fn("SessionPrompt.cancel")(function* (sessionID: SessionID) {
|
||||
yield* Effect.logInfo("cancel", { "session.id": sessionID })
|
||||
yield* state.cancel(sessionID)
|
||||
@@ -1153,6 +1192,21 @@ const layer = Layer.effect(
|
||||
sessionID,
|
||||
auto: task.auto,
|
||||
overflow: task.overflow,
|
||||
run: ({ user, agent, model, processor, messages, prompt }) =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* prepare({ session, agent, model, processor, messages })
|
||||
return yield* processor.process({
|
||||
user,
|
||||
agent,
|
||||
permission: session.permission,
|
||||
sessionID,
|
||||
parentSessionID: session.parentID,
|
||||
system: prepared.system,
|
||||
messages: [...prepared.modelMessages, { role: "user", content: prompt }],
|
||||
tools: prepared.tools,
|
||||
model,
|
||||
})
|
||||
}),
|
||||
})
|
||||
if (result === "stop") break
|
||||
continue
|
||||
@@ -1219,68 +1273,34 @@ const layer = Layer.effect(
|
||||
.pipe(Effect.onInterrupt(() => finalizeInterruptedAssistant))
|
||||
|
||||
const outcome: "break" | "continue" = yield* Effect.gen(function* () {
|
||||
const lastUserMsg = msgs.findLast((m) => m.info.role === "user")
|
||||
const bypassAgentCheck = lastUserMsg?.parts.some((p) => p.type === "agent") ?? false
|
||||
const promptOps = yield* ops()
|
||||
|
||||
const tools = yield* SessionTools.resolve({
|
||||
agent,
|
||||
session,
|
||||
model,
|
||||
processor: handle,
|
||||
bypassAgentCheck,
|
||||
messages: msgs,
|
||||
promptOps,
|
||||
}).pipe(
|
||||
Effect.provideService(Plugin.Service, plugin),
|
||||
Effect.provideService(Permission.Service, permission),
|
||||
Effect.provideService(ToolRegistry.Service, registry),
|
||||
Effect.provideService(MCP.Service, mcp),
|
||||
Effect.provideService(Truncate.Service, truncate),
|
||||
Effect.provideService(RuntimeFlags.Service, flags),
|
||||
)
|
||||
|
||||
if (lastUser.format?.type === "json_schema") {
|
||||
tools["StructuredOutput"] = createStructuredOutputTool({
|
||||
schema: lastUser.format.schema,
|
||||
onSuccess(output) {
|
||||
structured = output
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
if (step === 1)
|
||||
yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))
|
||||
|
||||
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
|
||||
|
||||
const [skills, env, instructions, mcpInstructions, modelMsgs] = yield* Effect.all([
|
||||
sys.skills(agent),
|
||||
sys.environment(model),
|
||||
instruction.system().pipe(Effect.orDie),
|
||||
sys.mcp(agent, session.permission),
|
||||
MessageV2.toModelMessagesEffect(msgs, model),
|
||||
])
|
||||
const system = [
|
||||
...env,
|
||||
...instructions,
|
||||
...(mcpInstructions ? [mcpInstructions] : []),
|
||||
...(skills ? [skills] : []),
|
||||
]
|
||||
const prepared = yield* prepare({ session, agent, model, processor: handle, messages: msgs })
|
||||
const format = lastUser.format ?? { type: "text" as const }
|
||||
if (format.type === "json_schema") system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
|
||||
if (format.type === "json_schema") {
|
||||
prepared.system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
|
||||
prepared.tools["StructuredOutput"] = createStructuredOutputTool({
|
||||
schema: format.schema,
|
||||
onSuccess(output) {
|
||||
structured = output
|
||||
},
|
||||
})
|
||||
}
|
||||
const result = yield* handle.process({
|
||||
user: lastUser,
|
||||
agent,
|
||||
permission: session.permission,
|
||||
sessionID,
|
||||
parentSessionID: session.parentID,
|
||||
system,
|
||||
system: prepared.system,
|
||||
messages: [
|
||||
...modelMsgs,
|
||||
...prepared.modelMessages,
|
||||
...(isLastStep ? [{ role: "assistant" as const, content: MAX_STEPS_PROMPT }] : []),
|
||||
],
|
||||
tools,
|
||||
tools: prepared.tools,
|
||||
model,
|
||||
toolChoice: format.type === "json_schema" ? "required" : undefined,
|
||||
})
|
||||
|
||||
@@ -336,8 +336,10 @@ export function plan(input: { slug: string; time: { created: number } }, instanc
|
||||
}
|
||||
|
||||
export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?: ProviderMetadata }) => {
|
||||
const finite = (value: number) => (Number.isFinite(value) ? value : 0)
|
||||
const safe = (value: number) => Math.max(0, finite(value))
|
||||
const safe = (value: number) => {
|
||||
if (!Number.isFinite(value)) return 0
|
||||
return Math.max(0, value)
|
||||
}
|
||||
const inputTokens = safe(input.usage.inputTokens ?? 0)
|
||||
const outputTokens = safe(input.usage.outputTokens ?? 0)
|
||||
const reasoningTokens = safe(input.usage.reasoningTokens ?? 0)
|
||||
@@ -391,13 +393,13 @@ export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?
|
||||
? new Decimal(totalNanoAiu).div(100_000_000_000).toNumber()
|
||||
: safe(
|
||||
new Decimal(0)
|
||||
.add(new Decimal(tokens.input).mul(finite(costInfo?.input ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.output).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.read).mul(finite(costInfo?.cache?.read ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.write).mul(finite(costInfo?.cache?.write ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.input).mul(costInfo?.input ?? 0).div(1_000_000))
|
||||
.add(new Decimal(tokens.output).mul(costInfo?.output ?? 0).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.read).mul(costInfo?.cache?.read ?? 0).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.write).mul(costInfo?.cache?.write ?? 0).div(1_000_000))
|
||||
// TODO: update models.dev to have better pricing model, for now:
|
||||
// charge reasoning tokens at the same rate as output tokens
|
||||
.add(new Decimal(tokens.reasoning).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.reasoning).mul(costInfo?.output ?? 0).div(1_000_000))
|
||||
.toNumber(),
|
||||
),
|
||||
tokens,
|
||||
|
||||
@@ -56,12 +56,7 @@ import { PermissionV1 } from "@opencode-ai/core/v1/permission"
|
||||
import { McpCatalog } from "@/mcp/catalog"
|
||||
|
||||
export function webSearchEnabled(providerID: ProviderV2.ID, flags = { exa: false, parallel: false }) {
|
||||
return (
|
||||
providerID === ProviderV2.ID.opencode ||
|
||||
providerID === ProviderV2.ID.make("opencode-go") ||
|
||||
flags.exa ||
|
||||
flags.parallel
|
||||
)
|
||||
return providerID === ProviderV2.ID.opencode || flags.exa || flags.parallel
|
||||
}
|
||||
|
||||
type TaskDef = Tool.InferDef<typeof TaskTool>
|
||||
|
||||
@@ -52,7 +52,7 @@ it.instance("returns default native agents when no config", () =>
|
||||
expect(names).toContain("plan")
|
||||
expect(names).toContain("general")
|
||||
expect(names).toContain("explore")
|
||||
expect(names).toContain("compaction")
|
||||
expect(names).not.toContain("compaction")
|
||||
expect(names).toContain("title")
|
||||
expect(names).toContain("summary")
|
||||
}),
|
||||
@@ -170,17 +170,34 @@ it.instance("general agent denies todo tools", () =>
|
||||
}),
|
||||
)
|
||||
|
||||
it.instance("compaction agent denies all permissions", () =>
|
||||
it.instance("compaction agent is absent without configuration", () =>
|
||||
Effect.gen(function* () {
|
||||
const compaction = yield* load((svc) => svc.get("compaction"))
|
||||
expect(compaction).toBeDefined()
|
||||
expect(compaction?.hidden).toBe(true)
|
||||
expect(evalPerm(compaction, "bash")).toBe("deny")
|
||||
expect(evalPerm(compaction, "edit")).toBe("deny")
|
||||
expect(evalPerm(compaction, "read")).toBe("deny")
|
||||
expect(compaction).toBeUndefined()
|
||||
}),
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"configured compaction agent keeps native defaults",
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const compaction = yield* load((svc) => svc.get("compaction"))
|
||||
expect(compaction).toBeDefined()
|
||||
expect(compaction?.native).toBe(true)
|
||||
expect(compaction?.hidden).toBe(true)
|
||||
expect(evalPerm(compaction, "bash")).toBe("deny")
|
||||
expect(evalPerm(compaction, "edit")).toBe("deny")
|
||||
expect(evalPerm(compaction, "read")).toBe("deny")
|
||||
}),
|
||||
{
|
||||
config: {
|
||||
agent: {
|
||||
compaction: {},
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"custom agent from config creates new agent",
|
||||
() =>
|
||||
@@ -710,6 +727,9 @@ it.instance(
|
||||
{
|
||||
config: {
|
||||
default_agent: "compaction",
|
||||
agent: {
|
||||
compaction: {},
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
|
||||
@@ -4,8 +4,8 @@ import stripAnsi from "strip-ansi"
|
||||
import { defaultConsoleUrl, formatAccountLabel, formatOrgLine } from "../../src/cli/cmd/account"
|
||||
|
||||
describe("console account display", () => {
|
||||
test("uses opencode.ai/console as the default login URL", () => {
|
||||
expect(defaultConsoleUrl).toBe("https://opencode.ai/console")
|
||||
test("uses console.opencode.ai as the default login URL", () => {
|
||||
expect(defaultConsoleUrl).toBe("https://console.opencode.ai")
|
||||
})
|
||||
|
||||
test("includes the account url in account labels", () => {
|
||||
|
||||
@@ -8,7 +8,6 @@ import { Effect, Exit, Fiber, Layer, Schema } from "effect"
|
||||
import { HttpServer, HttpServerRequest, HttpServerResponse } from "effect/unstable/http"
|
||||
import { eq } from "drizzle-orm"
|
||||
import { GlobalBus, type GlobalEvent } from "@/bus/global"
|
||||
import { Project } from "@/project/project"
|
||||
import { Database } from "@opencode-ai/core/database/database"
|
||||
import { ProjectV2 } from "@opencode-ai/core/project"
|
||||
import { ProjectTable } from "@opencode-ai/core/project/sql"
|
||||
@@ -134,9 +133,6 @@ const startWorkspaceSyncingWithFlag = (projectID: ProjectV2.ID, experimentalWork
|
||||
Workspace.use.startWorkspaceSyncing(projectID).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))),
|
||||
)
|
||||
|
||||
const listWithFlag = (project: Project.Info, experimentalWorkspaces: boolean) =>
|
||||
Effect.runPromise(Workspace.use.list(project).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))))
|
||||
|
||||
function captureGlobalEvents() {
|
||||
const events: GlobalEvent[] = []
|
||||
const handler = (event: GlobalEvent) => events.push(event)
|
||||
@@ -421,18 +417,6 @@ describe("workspace CRUD", () => {
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"list is disabled by the experimental workspace flag",
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const instance = yield* requireInstance
|
||||
yield* insertWorkspace(workspaceInfo(instance.project.id, "manual"))
|
||||
|
||||
expect(yield* Effect.promise(() => listWithFlag(instance.project, false))).toEqual([])
|
||||
}),
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"create configures, persists, creates, starts local sync, and passes environment",
|
||||
() =>
|
||||
|
||||
@@ -13,13 +13,56 @@ const pluginInput = {
|
||||
$: {} as never,
|
||||
}
|
||||
|
||||
test("registers the cloudflare-ai-gateway auth method", async () => {
|
||||
function makeHookInput(overrides: { providerID?: string; apiId?: string; reasoning?: boolean }) {
|
||||
return {
|
||||
sessionID: "s",
|
||||
agent: "a",
|
||||
provider: {} as never,
|
||||
message: {} as never,
|
||||
model: {
|
||||
providerID: overrides.providerID ?? "cloudflare-ai-gateway",
|
||||
api: { id: overrides.apiId ?? "openai/gpt-5.2-codex", url: "", npm: "ai-gateway-provider" },
|
||||
capabilities: {
|
||||
reasoning: overrides.reasoning ?? true,
|
||||
temperature: false,
|
||||
attachment: true,
|
||||
toolcall: true,
|
||||
input: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
interleaved: false,
|
||||
},
|
||||
} as never,
|
||||
}
|
||||
}
|
||||
|
||||
function makeHookOutput() {
|
||||
return { temperature: 0, topP: 1, topK: 0, maxOutputTokens: 32_000 as number | undefined, options: {} }
|
||||
}
|
||||
|
||||
test("omits maxOutputTokens for openai reasoning models on cloudflare-ai-gateway", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
expect(hooks.auth?.provider).toBe("cloudflare-ai-gateway")
|
||||
expect(hooks.auth?.methods).toHaveLength(1)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-5.2-codex", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBeUndefined()
|
||||
})
|
||||
|
||||
test("no longer drops maxOutputTokens; OpenAI models ride the Responses API passthrough", async () => {
|
||||
test("keeps maxOutputTokens for openai non-reasoning models", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
expect(hooks["chat.params"]).toBeUndefined()
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-4-turbo", reasoning: false }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
test("keeps maxOutputTokens for non-openai reasoning models on cloudflare-ai-gateway", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "anthropic/claude-sonnet-4-5", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
test("ignores non-cloudflare-ai-gateway providers", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ providerID: "openai", apiId: "gpt-5.2-codex", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
@@ -1,13 +1,9 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { createServer, type IncomingMessage } from "node:http"
|
||||
import { type AddressInfo } from "node:net"
|
||||
import { WebSocketServer } from "ws"
|
||||
import {
|
||||
CodexAuthPlugin,
|
||||
parseJwtClaims,
|
||||
extractAccountIdFromClaims,
|
||||
extractAccountId,
|
||||
extractResidency,
|
||||
renderOAuthError,
|
||||
type IdTokenClaims,
|
||||
} from "../../src/plugin/openai/codex"
|
||||
@@ -135,69 +131,6 @@ describe("plugin.codex", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("extractResidency", () => {
|
||||
test("extracts compute residency from the namespaced auth claims", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
}),
|
||||
),
|
||||
).toBe("eu")
|
||||
})
|
||||
|
||||
test("falls back to a root compute residency claim", () => {
|
||||
expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "us" }))).toBe("us")
|
||||
})
|
||||
|
||||
test("supports compute residency values without maintaining a region list", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "ae" },
|
||||
}),
|
||||
),
|
||||
).toBe("ae")
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "future-region_1" },
|
||||
}),
|
||||
),
|
||||
).toBe("future-region_1")
|
||||
})
|
||||
|
||||
test("ignores unconstrained and data residency values", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
|
||||
}),
|
||||
),
|
||||
).toBeUndefined()
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_data_residency: "gb" },
|
||||
}),
|
||||
),
|
||||
).toBeUndefined()
|
||||
expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "" }))).toBeUndefined()
|
||||
expect(extractResidency("not-a-jwt")).toBeUndefined()
|
||||
})
|
||||
|
||||
test("prefers a namespaced unconstrained value over a root residency", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
chatgpt_compute_residency: "eu",
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
|
||||
}),
|
||||
),
|
||||
).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
test("installs websocket transport only when experimental websockets are enabled", async () => {
|
||||
const disabled = await CodexAuthPlugin({} as never)
|
||||
const enabled = await CodexAuthPlugin({} as never, { experimentalWebSockets: true })
|
||||
@@ -216,73 +149,6 @@ describe("plugin.codex", () => {
|
||||
await enabled.dispose?.()
|
||||
})
|
||||
|
||||
test("sends token residency only to the ChatGPT Codex backend", async () => {
|
||||
const requests: Array<{ path: string; residency: string | null }> = []
|
||||
using server = Bun.serve({
|
||||
port: 0,
|
||||
fetch(request) {
|
||||
requests.push({
|
||||
path: new URL(request.url).pathname,
|
||||
residency: request.headers.get("x-openai-internal-codex-residency"),
|
||||
})
|
||||
return new Response("{}")
|
||||
},
|
||||
})
|
||||
const hooks = await CodexAuthPlugin({} as never, {
|
||||
codexApiEndpoint: new URL("/backend-api/codex/responses", server.url).toString(),
|
||||
})
|
||||
const loaded = await hooks.auth!.loader!(
|
||||
async () =>
|
||||
({
|
||||
type: "oauth",
|
||||
refresh: "refresh",
|
||||
access: createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
}),
|
||||
expires: Date.now() + 60_000,
|
||||
}) as never,
|
||||
{} as never,
|
||||
)
|
||||
|
||||
await loaded.fetch!("https://api.openai.com/v1/responses")
|
||||
await loaded.fetch!(new URL("/other", server.url))
|
||||
|
||||
expect(requests).toEqual([
|
||||
{ path: "/backend-api/codex/responses", residency: "eu" },
|
||||
{ path: "/other", residency: null },
|
||||
])
|
||||
})
|
||||
|
||||
test("sends token residency through the WebSocket transport", async () => {
|
||||
await using server = await createCodexWebSocketServer()
|
||||
const hooks = await CodexAuthPlugin({} as never, {
|
||||
codexApiEndpoint: server.url,
|
||||
experimentalWebSockets: true,
|
||||
})
|
||||
const loaded = await hooks.auth!.loader!(
|
||||
async () =>
|
||||
({
|
||||
type: "oauth",
|
||||
refresh: "refresh",
|
||||
access: createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
}),
|
||||
expires: Date.now() + 60_000,
|
||||
}) as never,
|
||||
{} as never,
|
||||
)
|
||||
|
||||
const response = await loaded.fetch!("https://api.openai.com/v1/responses", {
|
||||
method: "POST",
|
||||
headers: { "session-id": "session-1" },
|
||||
body: JSON.stringify({ stream: true, input: "hi" }),
|
||||
})
|
||||
|
||||
expect(await response.text()).toContain("data: [DONE]")
|
||||
expect(server.headers()?.["x-openai-internal-codex-residency"]).toBe("eu")
|
||||
await hooks.dispose?.()
|
||||
})
|
||||
|
||||
test("filters unsupported modes and uses Codex context limits for OAuth GPT models", async () => {
|
||||
const hooks = await CodexAuthPlugin({} as never)
|
||||
const limit = { context: 1_050_000, input: 922_000, output: 128_000 }
|
||||
@@ -315,9 +181,9 @@ describe("plugin.codex", () => {
|
||||
|
||||
expect(models["gpt-5.4"]?.limit).toEqual(limit)
|
||||
expect(models["gpt-5.5"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-sol"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-terra"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-luna"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-sol"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-terra"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-luna"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.4-pro"]).toBeUndefined()
|
||||
expect(models["gpt-5.7-pro"]).toBeDefined()
|
||||
expect(models["gpt-5.6-sol-high"]).toBeDefined()
|
||||
@@ -327,9 +193,6 @@ describe("plugin.codex", () => {
|
||||
})
|
||||
|
||||
test("deduplicates concurrent Codex token refreshes", async () => {
|
||||
const refreshedAccess = createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
})
|
||||
let auth = {
|
||||
type: "oauth" as const,
|
||||
refresh: "refresh-old",
|
||||
@@ -344,7 +207,7 @@ describe("plugin.codex", () => {
|
||||
resolveRefresh = resolve
|
||||
})
|
||||
let refreshRequests = 0
|
||||
const apiRequests: { authorization: string | null; accountId: string | null; residency: string | null }[] = []
|
||||
const apiRequests: { authorization: string | null; accountId: string | null }[] = []
|
||||
|
||||
using server = Bun.serve({
|
||||
port: 0,
|
||||
@@ -356,7 +219,7 @@ describe("plugin.codex", () => {
|
||||
await refreshReady
|
||||
return Response.json({
|
||||
id_token: createTestJwt({ chatgpt_account_id: "acc-123" }),
|
||||
access_token: refreshedAccess,
|
||||
access_token: "access-new",
|
||||
refresh_token: "refresh-new",
|
||||
expires_in: 3600,
|
||||
})
|
||||
@@ -366,7 +229,6 @@ describe("plugin.codex", () => {
|
||||
apiRequests.push({
|
||||
authorization: request.headers.get("authorization"),
|
||||
accountId: request.headers.get("ChatGPT-Account-Id"),
|
||||
residency: request.headers.get("x-openai-internal-codex-residency"),
|
||||
})
|
||||
return new Response("{}", { status: 200 })
|
||||
}
|
||||
@@ -419,11 +281,11 @@ describe("plugin.codex", () => {
|
||||
expect(refreshRequests).toBe(1)
|
||||
expect(authUpdates).toHaveLength(1)
|
||||
expect(authUpdates[0]?.body.refresh).toBe("refresh-new")
|
||||
expect(authUpdates[0]?.body.access).toBe(refreshedAccess)
|
||||
expect(authUpdates[0]?.body.access).toBe("access-new")
|
||||
expect(authUpdates[0]?.body.accountId).toBe("acc-123")
|
||||
expect(apiRequests).toEqual([
|
||||
{ authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
|
||||
{ authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
|
||||
{ authorization: "Bearer access-new", accountId: "acc-123" },
|
||||
{ authorization: "Bearer access-new", accountId: "acc-123" },
|
||||
])
|
||||
})
|
||||
})
|
||||
@@ -435,29 +297,3 @@ async function waitFor(predicate: () => boolean) {
|
||||
await new Promise((resolve) => setTimeout(resolve, 1))
|
||||
}
|
||||
}
|
||||
|
||||
async function createCodexWebSocketServer() {
|
||||
let headers: IncomingMessage["headers"] | undefined
|
||||
const server = createServer()
|
||||
const sockets = new WebSocketServer({ server })
|
||||
sockets.on("connection", (socket, request) => {
|
||||
headers = request.headers
|
||||
socket.once("message", () => {
|
||||
socket.send(JSON.stringify({ type: "response.completed", response: { id: "resp_123" } }))
|
||||
})
|
||||
})
|
||||
await new Promise<void>((resolve, reject) => {
|
||||
server.once("error", reject)
|
||||
server.listen(0, "127.0.0.1", resolve)
|
||||
})
|
||||
const address = server.address() as AddressInfo
|
||||
return {
|
||||
url: `http://127.0.0.1:${address.port}/backend-api/codex/responses`,
|
||||
headers: () => headers,
|
||||
async [Symbol.asyncDispose]() {
|
||||
for (const socket of sockets.clients) socket.terminate()
|
||||
sockets.close()
|
||||
server.close()
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -17,18 +17,13 @@ describe("plugin.openai.ws", () => {
|
||||
|
||||
const socket = await OpenAIWebSocket.connectResponsesWebSocket({
|
||||
url: server.wsUrl,
|
||||
headers: {
|
||||
authorization: "Bearer test",
|
||||
"content-length": "123",
|
||||
"x-openai-internal-codex-residency": "eu",
|
||||
},
|
||||
headers: { authorization: "Bearer test", "content-length": "123" },
|
||||
})
|
||||
|
||||
expect(OpenAIWebSocket.toWebSocketUrl("http://example.com/v1/responses")).toBe("ws://example.com/v1/responses")
|
||||
expect(OpenAIWebSocket.toWebSocketUrl("https://example.com/v1/responses")).toBe("wss://example.com/v1/responses")
|
||||
expect(headers?.authorization).toBe("Bearer test")
|
||||
expect(headers?.["openai-beta"]).toBe(OpenAIWebSocket.PROTOCOL_HEADER)
|
||||
expect(headers?.["x-openai-internal-codex-residency"]).toBe("eu")
|
||||
expect(headers?.["content-length"]).toBeUndefined()
|
||||
socket.terminate()
|
||||
})
|
||||
@@ -237,26 +232,6 @@ describe("plugin.openai.ws-pool", () => {
|
||||
fetch.close()
|
||||
})
|
||||
|
||||
test("falls back immediately to HTTP when a websocket request is too large", async () => {
|
||||
let connections = 0
|
||||
await using server = await createWebSocketServer((socket) => {
|
||||
connections += 1
|
||||
socket.once("message", () => socket.close(1009, "payload too large"))
|
||||
})
|
||||
const fetch = OpenAIWebSocketPool.createWebSocketFetch({
|
||||
url: server.url,
|
||||
})
|
||||
|
||||
const first = await fetch(server.url, streamRequest())
|
||||
const second = await fetch(server.url, streamRequest())
|
||||
|
||||
expect(await first.text()).toBe("http")
|
||||
expect(await second.text()).toBe("http")
|
||||
expect(connections).toBe(1)
|
||||
expect(server.httpRequests).toHaveLength(2)
|
||||
fetch.close()
|
||||
})
|
||||
|
||||
test("removes HTTP fallback when its session is deleted", async () => {
|
||||
let websocketAttempts = 0
|
||||
await using server = await createRejectingWebSocketServer(() => websocketAttempts++)
|
||||
|
||||
@@ -1,26 +1,22 @@
|
||||
// End-to-end regression tests for opencode#24432 and opencode#32051/#32052.
|
||||
// End-to-end regression test for opencode#24432.
|
||||
//
|
||||
// Routes through the actual ai-gateway-provider chain that provider.ts builds at
|
||||
// runtime, with only the network boundary stubbed:
|
||||
// - openai/* -> native OpenAI passthrough (Responses API)
|
||||
// - anthropic/* -> native Anthropic passthrough (Messages API)
|
||||
// - everything else -> unified /compat (openai-compatible chat completions)
|
||||
// Asserts what actually lands in the envelope body Cloudflare AI Gateway
|
||||
// forwards upstream, which is the only place these bugs were observable.
|
||||
// Routes through the actual ai-gateway-provider + @ai-sdk/openai-compatible
|
||||
// chain that provider.ts:811 builds at runtime, with only the network boundary
|
||||
// stubbed. Asserts that `reasoning_effort` (and other provider options the
|
||||
// transform emits) actually land in the body Cloudflare AI Gateway forwards
|
||||
// upstream, which is the only place the bug was observable.
|
||||
|
||||
import { afterEach, beforeEach, describe, expect, test } from "bun:test"
|
||||
import type { JSONValue } from "ai"
|
||||
import { generateText } from "ai"
|
||||
import { createAiGateway } from "ai-gateway-provider"
|
||||
import { createUnified } from "ai-gateway-provider/providers/unified"
|
||||
import { createOpenAI } from "ai-gateway-provider/providers/openai"
|
||||
import { createAnthropic } from "ai-gateway-provider/providers/anthropic"
|
||||
import { ProviderTransform } from "@/provider/transform"
|
||||
import type * as Provider from "@/provider/provider"
|
||||
import { ProviderV2 } from "@opencode-ai/core/provider"
|
||||
import { ModelV2 } from "@opencode-ai/core/model"
|
||||
|
||||
type Captured = { url: string; outerBody: unknown; headers: Record<string, string> }
|
||||
type Captured = { url: string; outerBody: unknown }
|
||||
type ProviderOptions = Record<string, Record<string, JSONValue>>
|
||||
|
||||
const realFetch = globalThis.fetch
|
||||
@@ -30,76 +26,24 @@ function isRecord(value: unknown): value is Record<string, unknown> {
|
||||
return typeof value === "object" && value !== null && !Array.isArray(value)
|
||||
}
|
||||
|
||||
// The gateway returns the upstream provider's response body verbatim, so the
|
||||
// mock must answer in the wire format of the step's target provider.
|
||||
function upstreamResponseBody(provider: string | undefined) {
|
||||
if (provider === "openai")
|
||||
return {
|
||||
id: "resp_test",
|
||||
object: "response",
|
||||
created_at: 0,
|
||||
model: "gpt-5.4",
|
||||
status: "completed",
|
||||
error: null,
|
||||
incomplete_details: null,
|
||||
output: [
|
||||
{
|
||||
type: "message",
|
||||
role: "assistant",
|
||||
id: "msg_1",
|
||||
status: "completed",
|
||||
content: [{ type: "output_text", text: "ok", annotations: [] }],
|
||||
},
|
||||
],
|
||||
usage: {
|
||||
input_tokens: 1,
|
||||
input_tokens_details: { cached_tokens: 0 },
|
||||
output_tokens: 1,
|
||||
output_tokens_details: { reasoning_tokens: 0 },
|
||||
total_tokens: 2,
|
||||
},
|
||||
}
|
||||
if (provider === "anthropic")
|
||||
return {
|
||||
id: "msg_test",
|
||||
type: "message",
|
||||
role: "assistant",
|
||||
model: "claude-sonnet-4-6",
|
||||
content: [{ type: "text", text: "ok" }],
|
||||
stop_reason: "end_turn",
|
||||
stop_sequence: null,
|
||||
usage: { input_tokens: 1, output_tokens: 1 },
|
||||
}
|
||||
return {
|
||||
id: "chatcmpl-test",
|
||||
object: "chat.completion",
|
||||
created: 0,
|
||||
model: "test",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
}
|
||||
}
|
||||
|
||||
beforeEach(() => {
|
||||
captured = null
|
||||
const handle = async (input: Parameters<typeof fetch>[0], init?: Parameters<typeof fetch>[1]): Promise<Response> => {
|
||||
const url = typeof input === "string" ? input : input instanceof URL ? input.toString() : input.url
|
||||
if (url.startsWith("https://gateway.ai.cloudflare.com/")) {
|
||||
const bodyText = typeof init?.body === "string" ? init.body : ""
|
||||
const outerBody = bodyText ? JSON.parse(bodyText) : null
|
||||
captured = {
|
||||
url,
|
||||
outerBody,
|
||||
headers: Object.fromEntries(new Headers(init?.headers).entries()),
|
||||
}
|
||||
const provider =
|
||||
Array.isArray(outerBody) && isRecord(outerBody[0]) && typeof outerBody[0].provider === "string"
|
||||
? outerBody[0].provider
|
||||
: undefined
|
||||
return new Response(JSON.stringify(upstreamResponseBody(provider)), {
|
||||
status: 200,
|
||||
headers: { "Content-Type": "application/json" },
|
||||
})
|
||||
captured = { url, outerBody: bodyText ? JSON.parse(bodyText) : null }
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
id: "chatcmpl-test",
|
||||
object: "chat.completion",
|
||||
created: 0,
|
||||
model: "openai/gpt-5.4",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
}),
|
||||
{ status: 200, headers: { "Content-Type": "application/json" } },
|
||||
)
|
||||
}
|
||||
return realFetch(input, init)
|
||||
}
|
||||
@@ -112,19 +56,11 @@ afterEach(() => {
|
||||
globalThis.fetch = realFetch
|
||||
})
|
||||
|
||||
// Mirrors the runtime npm rewrite in provider.ts: openai/anthropic models carry
|
||||
// their native SDK package so transforms key provider options correctly.
|
||||
const cfNpm = (apiId: string) => {
|
||||
if (apiId.startsWith("openai/")) return "@ai-sdk/openai"
|
||||
if (apiId.startsWith("anthropic/")) return "@ai-sdk/anthropic"
|
||||
return "ai-gateway-provider"
|
||||
}
|
||||
|
||||
const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => ({
|
||||
id: ModelV2.ID.make(`cloudflare-ai-gateway/${apiId}`),
|
||||
providerID: ProviderV2.ID.make("cloudflare-ai-gateway"),
|
||||
name: apiId,
|
||||
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: cfNpm(apiId) },
|
||||
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: "ai-gateway-provider" },
|
||||
capabilities: {
|
||||
reasoning: true,
|
||||
temperature: false,
|
||||
@@ -144,165 +80,53 @@ const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => (
|
||||
|
||||
// ai-gateway-provider sends an array of step descriptors; each entry's `query`
|
||||
// is the body forwarded to the upstream provider.
|
||||
function firstStep(body: unknown): Record<string, unknown> | undefined {
|
||||
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
|
||||
if (!Array.isArray(body) || body.length === 0) return undefined
|
||||
const first = body[0]
|
||||
return isRecord(first) ? first : undefined
|
||||
}
|
||||
|
||||
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
|
||||
const query = firstStep(body)?.query
|
||||
if (!isRecord(first)) return undefined
|
||||
const query = first.query
|
||||
return isRecord(query) ? query : undefined
|
||||
}
|
||||
|
||||
// Each step descriptor also carries the `headers` forwarded to the upstream provider.
|
||||
function extractUpstreamHeaders(body: unknown): Record<string, unknown> | undefined {
|
||||
const headers = firstStep(body)?.headers
|
||||
return isRecord(headers) ? headers : undefined
|
||||
}
|
||||
|
||||
// Mirrors the runtime routing in provider.ts getModel.
|
||||
function gatewayModel(apiId: string, gatewayToken = "test") {
|
||||
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: gatewayToken })
|
||||
if (apiId.startsWith("openai/")) return aigateway(createOpenAI()(apiId.slice("openai/".length)))
|
||||
if (apiId.startsWith("anthropic/")) return aigateway(createAnthropic()(apiId.slice("anthropic/".length)))
|
||||
const isWorkersAi = apiId.startsWith("workers-ai/") || apiId.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: gatewayToken } : {})
|
||||
return aigateway(unified(apiId))
|
||||
}
|
||||
|
||||
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions, gatewayToken = "test") {
|
||||
await generateText({ model: gatewayModel(apiId, gatewayToken), prompt: "hi", providerOptions })
|
||||
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions) {
|
||||
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: "test" })
|
||||
const unified = createUnified()
|
||||
await generateText({ model: aigateway(unified(apiId)), prompt: "hi", providerOptions })
|
||||
return extractUpstreamQuery(captured?.outerBody)
|
||||
}
|
||||
|
||||
describe("cf-ai-gateway routing", () => {
|
||||
test("openai/* rides the native OpenAI passthrough on the Responses API", async () => {
|
||||
await callThroughGateway("openai/gpt-5.4", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("openai")
|
||||
expect(step?.endpoint).toBe("v1/responses")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("gpt-5.4")
|
||||
})
|
||||
|
||||
test("anthropic/* rides the native Anthropic passthrough on the Messages API", async () => {
|
||||
await callThroughGateway("anthropic/claude-sonnet-4-6", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("anthropic")
|
||||
expect(step?.endpoint).toBe("v1/messages")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("claude-sonnet-4-6")
|
||||
})
|
||||
|
||||
test("workers-ai models stay on the unified /compat route", async () => {
|
||||
await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("compat")
|
||||
expect(step?.endpoint).toBe("chat/completions")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("workers-ai/@cf/moonshotai/kimi-k2.6")
|
||||
})
|
||||
})
|
||||
|
||||
describe("cf-ai-gateway end-to-end (regression: #24432)", () => {
|
||||
test("ProviderTransform.providerOptions output puts reasoning effort on the Responses wire", async () => {
|
||||
// The full chain the runtime exercises for OpenAI models:
|
||||
// transform.providerOptions() -> "openai" key (npm rewritten to @ai-sdk/openai)
|
||||
// -> OpenAIResponsesLanguageModel emits body.reasoning.effort
|
||||
test("ProviderTransform.providerOptions output puts reasoning_effort on the wire", async () => {
|
||||
// The full chain the runtime exercises:
|
||||
// transform.providerOptions() -> openaiCompatible key
|
||||
// -> @ai-sdk/openai-compatible reads it as compatibleOptions
|
||||
// -> emits body.reasoning_effort
|
||||
// -> ai-gateway-provider wraps the body and forwards to gateway.ai.cloudflare.com
|
||||
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), { reasoningEffort: "xhigh" })
|
||||
expect(Object.keys(opts)).toEqual(["openai"])
|
||||
expect(opts.openai.reasoningEffort).toBe("xhigh")
|
||||
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "xhigh" } })
|
||||
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
|
||||
expect((upstream?.reasoning as Record<string, unknown> | undefined)?.effort).toBe("xhigh")
|
||||
expect(upstream?.reasoning_effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
test("variants() output for openai/gpt-5.4 lands xhigh on the wire", async () => {
|
||||
// fromModelsDevModel resolves the native npm before computing variants, so
|
||||
// OpenAI models get full Responses-flavored payloads (summary + encrypted
|
||||
// reasoning include for stateless multi-turn reasoning).
|
||||
// The other half of the bug: workflow `variant: xhigh` flows through variants()
|
||||
// and must reach the wire. variants() returns the providerOptions payload
|
||||
// unwrapped; providerOptions() wraps it under the SDK key.
|
||||
const variants = ProviderTransform.variants(cfModel("openai/gpt-5.4"))
|
||||
expect(variants.xhigh).toEqual({
|
||||
reasoningEffort: "xhigh",
|
||||
reasoningSummary: "auto",
|
||||
include: ["reasoning.encrypted_content"],
|
||||
})
|
||||
expect(variants.xhigh).toEqual({ reasoningEffort: "xhigh" })
|
||||
|
||||
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), variants.xhigh)
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
|
||||
const reasoning = upstream?.reasoning as Record<string, unknown> | undefined
|
||||
expect(reasoning?.effort).toBe("xhigh")
|
||||
expect(reasoning?.summary).toBe("auto")
|
||||
})
|
||||
|
||||
test("reasoning effort variants for anthropic models land as native adaptive thinking", async () => {
|
||||
// Mirrors the runtime catalog path: models.dev reasoning_options -> reasoningVariants
|
||||
// computed on the native @ai-sdk/anthropic npm -> adaptive thinking + output_config.effort.
|
||||
const model = cfModel("anthropic/claude-sonnet-4-6")
|
||||
const variants = ProviderTransform.reasoningVariants(
|
||||
{ reasoning_options: [{ type: "effort", values: ["low", "medium", "high"] }] } as never,
|
||||
model,
|
||||
)
|
||||
expect(variants?.high).toMatchObject({ effort: "high" })
|
||||
|
||||
const opts = ProviderTransform.providerOptions(model, variants!.high)
|
||||
expect(Object.keys(opts)).toEqual(["anthropic"])
|
||||
|
||||
const upstream = await callThroughGateway("anthropic/claude-sonnet-4-6", opts)
|
||||
expect((upstream?.thinking as Record<string, unknown> | undefined)?.type).toBe("adaptive")
|
||||
expect((upstream?.output_config as Record<string, unknown> | undefined)?.effort).toBe("high")
|
||||
})
|
||||
|
||||
test("reasoning_effort still reaches the /compat wire for workers-ai models", async () => {
|
||||
const model = cfModel("workers-ai/@cf/moonshotai/kimi-k2.6")
|
||||
const opts = ProviderTransform.providerOptions(model, { reasoningEffort: "high" })
|
||||
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "high" } })
|
||||
|
||||
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", opts)
|
||||
expect(upstream?.reasoning_effort).toBe("high")
|
||||
expect(upstream?.reasoning_effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
test("legacy buggy key 'cloudflare-ai-gateway' does NOT reach the wire (proves the bug)", async () => {
|
||||
// Sanity: confirms the bug class. If a future change accidentally restores
|
||||
// providerID-keyed providerOptions, this test fails before users notice.
|
||||
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", {
|
||||
"cloudflare-ai-gateway": { reasoningEffort: "high" },
|
||||
})
|
||||
expect(upstream?.reasoning_effort).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe("cf-ai-gateway token scoping (regression: #32051/#32052)", () => {
|
||||
test("openai passthrough does NOT forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("openai/gpt-5.4", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
// Security invariant: the Cloudflare token must never become the upstream provider's Authorization.
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBeUndefined()
|
||||
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("anthropic passthrough does NOT forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("anthropic/claude-sonnet-4-6", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["x-api-key"]).toBeUndefined()
|
||||
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("workers-ai models DO forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("workers-ai/@cf/google/gemma-4-26b-a4b-it", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("bare @cf/ Workers AI models DO forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("@cf/meta/llama-3.1-8b-instruct", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
})
|
||||
})
|
||||
|
||||
@@ -3215,19 +3215,6 @@ describe("ProviderTransform.temperature - Cohere North", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform sampling defaults - Qwen", () => {
|
||||
test.each(["Qwen3.8-27B", "qwen3-coder-30b-a3b-instruct"])('leaves sampling unset for "%s"', (id) => {
|
||||
const model = {
|
||||
id: `custom/${id}`,
|
||||
api: { id },
|
||||
} as any
|
||||
|
||||
expect(ProviderTransform.temperature(model)).toBeUndefined()
|
||||
expect(ProviderTransform.topP(model)).toBeUndefined()
|
||||
expect(ProviderTransform.topK(model)).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform sampling defaults - Gemini", () => {
|
||||
const model = (id: string) =>
|
||||
({
|
||||
|
||||
@@ -222,6 +222,11 @@ function cfg(compaction?: ConfigV1.Info["compaction"]) {
|
||||
return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed({ ...base, compaction }) }))
|
||||
}
|
||||
|
||||
function cfgAgent(agent: NonNullable<ConfigV1.Info["agent"]>) {
|
||||
const config = Schema.decodeUnknownSync(ConfigV1.Info)({ agent }) as ConfigV1.Info
|
||||
return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed(config) }))
|
||||
}
|
||||
|
||||
const defaultProvider = wide()
|
||||
const compactionTestNode = LayerNode.group([
|
||||
SessionCompaction.node,
|
||||
@@ -812,6 +817,75 @@ describe("session.compaction.prune", () => {
|
||||
})
|
||||
|
||||
describe("session.compaction.process", () => {
|
||||
itCompaction.instance(
|
||||
"inherits the last agent when compaction is not configured",
|
||||
() => {
|
||||
const stub = llm()
|
||||
let captured: LLM.StreamInput | undefined
|
||||
stub.push(reply("summary", (input) => (captured = input)))
|
||||
return Effect.gen(function* () {
|
||||
const ssn = yield* SessionNs.Service
|
||||
const session = yield* ssn.create({})
|
||||
const msg = yield* createUserMessage(session.id, "hello")
|
||||
const msgs = yield* ssn.messages({ sessionID: session.id })
|
||||
|
||||
yield* SessionCompaction.use.process({
|
||||
parentID: msg.id,
|
||||
messages: msgs,
|
||||
sessionID: session.id,
|
||||
auto: false,
|
||||
})
|
||||
|
||||
expect(captured?.agent.name).toBe("build")
|
||||
expect(captured?.agent.prompt).toBe("custom build prompt")
|
||||
expect(captured?.agent.temperature).toBe(0.37)
|
||||
expect(String(captured?.model.providerID)).toBe("test")
|
||||
expect(String(captured?.model.id)).toBe("test-model")
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
config: cfgAgent({
|
||||
build: { prompt: "custom build prompt", temperature: 0.37, model: "missing/missing" },
|
||||
}),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
itCompaction.instance(
|
||||
"preserves an explicitly configured compaction agent",
|
||||
() => {
|
||||
const stub = llm()
|
||||
let captured: LLM.StreamInput | undefined
|
||||
stub.push(reply("summary", (input) => (captured = input)))
|
||||
return Effect.gen(function* () {
|
||||
const ssn = yield* SessionNs.Service
|
||||
const session = yield* ssn.create({})
|
||||
const msg = yield* createUserMessage(session.id, "hello")
|
||||
const msgs = yield* ssn.messages({ sessionID: session.id })
|
||||
|
||||
yield* SessionCompaction.use.process({
|
||||
parentID: msg.id,
|
||||
messages: msgs,
|
||||
sessionID: session.id,
|
||||
auto: false,
|
||||
})
|
||||
|
||||
expect(captured?.agent.name).toBe("compaction")
|
||||
expect(captured?.agent.prompt).toBe("custom compaction prompt")
|
||||
expect(captured?.agent.temperature).toBe(0.81)
|
||||
expect(captured?.agent.hidden).toBe(true)
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
config: cfgAgent({ compaction: { prompt: "custom compaction prompt", temperature: 0.81 } }),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"throws when parent is not a user message",
|
||||
Effect.gen(function* () {
|
||||
@@ -1782,22 +1856,6 @@ describe("SessionNs.getUsage", () => {
|
||||
expect(Number.isNaN(result.cost)).toBe(false)
|
||||
})
|
||||
|
||||
test("ignores malformed cost fields", () => {
|
||||
const model = createModel({
|
||||
context: 100_000,
|
||||
output: 32_000,
|
||||
cost: { input: 3, output: 15, cache: { read: 0.3, write: 3.75 } },
|
||||
})
|
||||
Object.assign(model.cost, { input: {} })
|
||||
|
||||
const result = SessionNs.getUsage({
|
||||
model,
|
||||
usage: usage({ inputTokens: 1_000_000, outputTokens: 100_000, totalTokens: 1_100_000 }),
|
||||
})
|
||||
|
||||
expect(result.cost).toBe(1.5)
|
||||
})
|
||||
|
||||
test("calculates cost correctly", () => {
|
||||
const model = createModel({
|
||||
context: 100_000,
|
||||
|
||||
@@ -444,6 +444,34 @@ const boot = Effect.fn("test.boot")(function* (input?: { title?: string }) {
|
||||
|
||||
// Loop semantics
|
||||
|
||||
it.instance("default compaction reuses the normal system and tools", () =>
|
||||
Effect.gen(function* () {
|
||||
const { llm } = yield* useServerConfig(providerCfg)
|
||||
const { prompt, chat } = yield* boot()
|
||||
const compact = yield* SessionCompaction.Service
|
||||
yield* user(chat.id, "cache prefix message")
|
||||
yield* llm.text("normal response")
|
||||
yield* prompt.loop({ sessionID: chat.id })
|
||||
|
||||
yield* compact.create({ sessionID: chat.id, agent: "build", model: ref, auto: false })
|
||||
yield* llm.text("compacted summary")
|
||||
yield* prompt.loop({ sessionID: chat.id })
|
||||
|
||||
const inputs = yield* llm.inputs
|
||||
expect(inputs).toHaveLength(2)
|
||||
expect(inputs[1]?.tools).toEqual(inputs[0]?.tools)
|
||||
const normalMessages = Array.isArray(inputs[0]?.messages) ? inputs[0].messages : []
|
||||
const compactMessages = Array.isArray(inputs[1]?.messages) ? inputs[1].messages : []
|
||||
const system = (message: unknown) =>
|
||||
typeof message === "object" && message !== null && "role" in message && message.role === "system"
|
||||
expect(compactMessages.find(system)).toEqual(normalMessages.find(system))
|
||||
expect(JSON.stringify(compactMessages)).toContain("cache prefix message")
|
||||
expect(JSON.stringify(compactMessages)).toContain("normal response")
|
||||
expect(JSON.stringify(compactMessages)).toContain("Create a new anchored summary")
|
||||
expect(JSON.stringify(compactMessages)).not.toContain("[User]: cache prefix message")
|
||||
}),
|
||||
)
|
||||
|
||||
noLLMServer.instance(
|
||||
"loop exits immediately when last assistant has stop finish",
|
||||
() =>
|
||||
|
||||
@@ -37,9 +37,8 @@ describe("websearch provider", () => {
|
||||
expect(selectWebSearchProvider(SESSION_ID, { exa: false, parallel: true })).toBe("parallel")
|
||||
})
|
||||
|
||||
test("is enabled for OpenCode providers or explicit websearch provider flags", () => {
|
||||
test("is only enabled for opencode or explicit websearch provider flags", () => {
|
||||
expect(webSearchEnabled(ProviderV2.ID.opencode, { exa: false, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.make("opencode-go"), { exa: false, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: false })).toBe(false)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: true, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: true })).toBe(true)
|
||||
|
||||
@@ -241,7 +241,7 @@ export function Footer(props: {
|
||||
{ href: "https://opencode.ai/discord", label: i18n.t("footer.community") },
|
||||
{ href: "https://x.com/opencode", label: "X" },
|
||||
{ href: githubLink.href, label: i18n.t("header.github") },
|
||||
{ href: "https://www.youtube.com/@anomalyco", label: i18n.t("footer.youtube") },
|
||||
{ href: "https://www.youtube.com/@anomaly-co", label: i18n.t("footer.youtube") },
|
||||
]
|
||||
const bridge = () =>
|
||||
props.bridge === undefined
|
||||
|
||||
@@ -7,7 +7,6 @@ import { RETIRED_STAT_MODELS, RETIRED_STAT_PROVIDERS } from "./model-normalizati
|
||||
import {
|
||||
chunks,
|
||||
collapseRows,
|
||||
DATA_SITE_TIERS,
|
||||
inserted,
|
||||
isMissingUniqueUsersColumn,
|
||||
omitUniqueUsers,
|
||||
@@ -94,7 +93,7 @@ export class GeoStatRepo extends Context.Service<GeoStatRepo, GeoStatRepo.Servic
|
||||
eq(geoStat.grain, "day"),
|
||||
eq(geoStat.client, "all"),
|
||||
eq(geoStat.source, "all"),
|
||||
inArray(geoStat.tier, DATA_SITE_TIERS),
|
||||
inArray(geoStat.tier, ["Go", "go"]),
|
||||
scope,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -5,7 +5,6 @@ import { DatabaseError } from "../database"
|
||||
import type { GeoStatMetric } from "./geo"
|
||||
import { ModelStatRepo, type ModelStatMetric } from "./model"
|
||||
import type { ProviderStatMetric } from "./provider"
|
||||
import { DATA_SITE_TIERS, normalizeTier } from "./stat"
|
||||
|
||||
export type UsageProduct = "All Users" | "Zen" | "Go" | "Enterprise"
|
||||
export type TokenProduct = "Zen" | "Go" | "Enterprise"
|
||||
@@ -130,9 +129,7 @@ const TOKEN_SCALE = 1_000_000
|
||||
const DOLLARS_PER_MICROCENT = 1 / 100_000_000
|
||||
const METRIC_MODEL_LIMIT = 10
|
||||
const TOP_MODEL_SEGMENT_LIMIT = 9
|
||||
// Preserve the response shape while the public site presents Go and Free as one cohort.
|
||||
const SITE_PRODUCT = "Go"
|
||||
const SITE_TIER_PLACEHOLDERS = DATA_SITE_TIERS.map(() => "?").join(", ")
|
||||
const LEADERBOARD_CHANGE_MIN_MULTIPLE = 10
|
||||
const months = ["JAN", "FEB", "MAR", "APR", "MAY", "JUN", "JUL", "AUG", "SEP", "OCT", "NOV", "DEC"] as const
|
||||
|
||||
@@ -215,13 +212,10 @@ export function getStatsLabData(provider: string): Effect.Effect<StatsLabData |
|
||||
|
||||
async function listModelDaily(): Promise<ModelStatMetric[]> {
|
||||
return (
|
||||
await queryRows(
|
||||
`select period_key, updated_at, tier, provider, model, sessions, unique_users, input_tokens,
|
||||
await queryRows(`select period_key, updated_at, tier, provider, model, sessions, unique_users, input_tokens,
|
||||
output_tokens, reasoning_tokens, cache_read_tokens, total_tokens, input_cost_microcents, output_cost_microcents,
|
||||
total_cost_microcents from model_stat where grain = 'day' and client = 'all' and source = 'all'
|
||||
and tier in (${SITE_TIER_PLACEHOLDERS}) order by period_key`,
|
||||
DATA_SITE_TIERS,
|
||||
)
|
||||
and tier in ('Go', 'go') order by period_key`)
|
||||
).map((row) => ({
|
||||
periodKey: stringValue(row.period_key),
|
||||
updatedAt: dateValue(row.updated_at),
|
||||
@@ -243,12 +237,8 @@ async function listModelDaily(): Promise<ModelStatMetric[]> {
|
||||
|
||||
async function listProviderDaily(): Promise<ProviderStatMetric[]> {
|
||||
return (
|
||||
await queryRows(
|
||||
`select period_key, updated_at, tier, provider, total_tokens from provider_stat
|
||||
where grain = 'day' and client = 'all' and source = 'all'
|
||||
and tier in (${SITE_TIER_PLACEHOLDERS}) order by period_key`,
|
||||
DATA_SITE_TIERS,
|
||||
)
|
||||
await queryRows(`select period_key, updated_at, tier, provider, total_tokens from provider_stat
|
||||
where grain = 'day' and client = 'all' and source = 'all' and tier in ('Go', 'go') order by period_key`)
|
||||
).map((row) => ({
|
||||
periodKey: stringValue(row.period_key),
|
||||
updatedAt: dateValue(row.updated_at),
|
||||
@@ -269,9 +259,8 @@ async function listGeoDaily(opts?: { provider?: string; model?: string }): Promi
|
||||
return (
|
||||
await queryRows(
|
||||
`select period_key, updated_at, tier, provider, model, country, continent, total_tokens from geo_stat
|
||||
where grain = 'day' and client = 'all' and source = 'all'
|
||||
and tier in (${SITE_TIER_PLACEHOLDERS}) ${scope} order by period_key`,
|
||||
[...DATA_SITE_TIERS, ...params],
|
||||
where grain = 'day' and client = 'all' and source = 'all' and tier in ('Go', 'go') ${scope} order by period_key`,
|
||||
params,
|
||||
)
|
||||
).map((row) => ({
|
||||
periodKey: stringValue(row.period_key),
|
||||
@@ -746,7 +735,6 @@ function rowsForProduct<T extends { periodStart: number; tier: string }>(
|
||||
end: number,
|
||||
) {
|
||||
const windowRows = rows.filter((row) => row.periodStart >= start && row.periodStart < end)
|
||||
if (product === SITE_PRODUCT) return windowRows.filter((row) => row.tier === "Go" || row.tier === "Free")
|
||||
if (product !== "All Users") return windowRows.filter((row) => row.tier === product)
|
||||
|
||||
const allRows = windowRows.filter((row) => row.tier === "all")
|
||||
@@ -956,6 +944,15 @@ function normalizeGeoRow(row: GeoStatMetric): GeoMetricRow[] {
|
||||
]
|
||||
}
|
||||
|
||||
function normalizeTier(value: string) {
|
||||
const normalized = value.toLowerCase()
|
||||
if (normalized === "paid" || normalized === "zen") return "Zen"
|
||||
if (normalized === "go") return "Go"
|
||||
if (normalized === "enterprise") return "Enterprise"
|
||||
if (normalized === "all") return "all"
|
||||
return value
|
||||
}
|
||||
|
||||
function dateTime(value: Date | string) {
|
||||
return (value instanceof Date ? value : new Date(value)).getTime()
|
||||
}
|
||||
|
||||
@@ -97,12 +97,7 @@ describe("inference stat normalization", () => {
|
||||
expect(queries[6]).toContain("'2026-08-12' AS period_key")
|
||||
expect(queries[0]).toContain('FROM "inference"."generation"')
|
||||
expect(queries[0]).toContain("event_type = 'generation.completed'")
|
||||
expect(queries[0]).toContain("AND (product = 'go' OR (lower(COALESCE(model_tier, '')) = 'free'")
|
||||
expect(queries[0]).toContain("COALESCE(NULLIF(lower(model_tier), ''), '') AS raw_tier")
|
||||
expect(queries[0]).toContain("WHEN lower(COALESCE(raw_tier, '')) = 'free'")
|
||||
expect(queries[0]).toContain("OR lower(raw_model) IN ('gpt-5-nano', 'grok-code', 'big-pickle')")
|
||||
expect(queries[0]).toContain("OR lower(raw_model) LIKE '%-free'")
|
||||
expect(queries[0]).toContain("THEN 'Free'")
|
||||
expect(queries[0]).toContain("product = 'go'")
|
||||
expect(queries[0]).toContain("LIMIT 10000")
|
||||
expect(queries[0]).toContain("approx_distinct(session) AS sessions")
|
||||
expect(queries[1]).toContain("'geo_model' ELSE 'geo'")
|
||||
|
||||
@@ -4,7 +4,6 @@ import type { GeoStatAggregate } from "./geo"
|
||||
import type { ModelStatAggregate } from "./model"
|
||||
import {
|
||||
EXCLUDED_MODELS,
|
||||
FREE_MODELS,
|
||||
MODEL_AUTHOR_RULES,
|
||||
RETIRED_STAT_PROVIDERS,
|
||||
statModel,
|
||||
@@ -54,7 +53,6 @@ function buildStatsQuery(
|
||||
const periodEndValue = sqlString(period.end.toISOString())
|
||||
const ingestEndValue = sqlString(new Date(period.end.getTime() + DAY_MS).toISOString())
|
||||
const sourceTable = [source.namespace, source.table].map(sqlIdentifier).join(".")
|
||||
const sourceFreeTier = freeTierSql("model_tier", "model_requested")
|
||||
const dimensions =
|
||||
family === "usage"
|
||||
? `CASE WHEN grouping(model) = 0 THEN 'model' ELSE 'provider' END AS dimension,
|
||||
@@ -109,7 +107,6 @@ function buildStatsQuery(
|
||||
WITH normalized AS (
|
||||
SELECT
|
||||
model_requested AS raw_model,
|
||||
COALESCE(NULLIF(lower(model_tier), ''), '') AS raw_tier,
|
||||
${statModelSql("model_requested", "route_model")} AS model,
|
||||
COALESCE(NULLIF(route_model, ''), '') AS provider_model,
|
||||
COALESCE(NULLIF(provider_id, ''), '') AS raw_provider,
|
||||
@@ -141,7 +138,7 @@ WITH normalized AS (
|
||||
(source = 'inference-legacy' AND started_at < ${sqlString(LIVE_SOURCE_START)})
|
||||
OR (source = 'inference' AND started_at >= ${sqlString(LIVE_SOURCE_START)})
|
||||
)
|
||||
AND (product = 'go' OR (${sourceFreeTier}))
|
||||
AND product = 'go'
|
||||
AND model_requested IS NOT NULL
|
||||
AND model_requested <> ''
|
||||
AND __ingest_ts >= ${periodStartValue}
|
||||
@@ -150,11 +147,7 @@ WITH normalized AS (
|
||||
AND started_at < ${periodEndValue}
|
||||
), filtered AS (
|
||||
SELECT
|
||||
CASE
|
||||
WHEN ${freeTierSql("raw_tier", "raw_model")}
|
||||
THEN 'Free'
|
||||
ELSE 'Go'
|
||||
END AS tier,
|
||||
'Go' AS tier,
|
||||
${statProviderSql("model", "provider_model", "raw_provider")} AS provider,
|
||||
provider_model,
|
||||
model,
|
||||
@@ -306,13 +299,6 @@ function statModelSql(model: string, providerModel: string) {
|
||||
END, '(-free|:global)+$', ''), ''), 'unknown')`
|
||||
}
|
||||
|
||||
function freeTierSql(tier: string, model: string) {
|
||||
return `lower(COALESCE(${tier}, '')) = 'free'
|
||||
OR lower(${model}) IN (${[...FREE_MODELS].map(sqlString).join(", ")})
|
||||
OR lower(${model}) LIKE '%-free'
|
||||
OR lower(${model}) LIKE '%-free:global'`
|
||||
}
|
||||
|
||||
function statProviderSql(model: string, providerModel: string, provider: string) {
|
||||
return `CASE
|
||||
${MODEL_AUTHOR_RULES.map((item) => ` WHEN strpos(lower(${providerModel}), ${sqlString(item.match)}) > 0 THEN ${sqlString(item.author)}`).join("\n")}
|
||||
|
||||
@@ -13,7 +13,6 @@ export const MODEL_AUTHOR_RULES = [
|
||||
{ match: "qwen", author: "qwen" },
|
||||
] as const
|
||||
export const EXCLUDED_MODELS = new Set(["alpha-gpt-next"])
|
||||
export const FREE_MODELS = new Set(["gpt-5-nano", "grok-code", "big-pickle"])
|
||||
export const RETIRED_STAT_MODELS = ["big-pickle"]
|
||||
export const RETIRED_STAT_PROVIDERS = ["opencode"]
|
||||
|
||||
|
||||
@@ -7,7 +7,6 @@ import { RETIRED_STAT_MODELS, RETIRED_STAT_PROVIDERS } from "./model-normalizati
|
||||
import {
|
||||
chunks,
|
||||
collapseRows,
|
||||
DATA_SITE_TIERS,
|
||||
inserted,
|
||||
isMissingUniqueUsersColumn,
|
||||
omitUniqueUsers,
|
||||
@@ -212,7 +211,7 @@ function modelDailyScope() {
|
||||
eq(modelStat.grain, "day"),
|
||||
eq(modelStat.client, "all"),
|
||||
eq(modelStat.source, "all"),
|
||||
inArray(modelStat.tier, DATA_SITE_TIERS),
|
||||
inArray(modelStat.tier, ["Go", "go"]),
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -7,7 +7,6 @@ import { RETIRED_STAT_PROVIDERS } from "./model-normalization"
|
||||
import {
|
||||
chunks,
|
||||
collapseRows,
|
||||
DATA_SITE_TIERS,
|
||||
inserted,
|
||||
isMissingUniqueUsersColumn,
|
||||
omitUniqueUsers,
|
||||
@@ -70,7 +69,7 @@ export class ProviderStatRepo extends Context.Service<ProviderStatRepo, Provider
|
||||
eq(providerStat.grain, "day"),
|
||||
eq(providerStat.client, "all"),
|
||||
eq(providerStat.source, "all"),
|
||||
inArray(providerStat.tier, DATA_SITE_TIERS),
|
||||
inArray(providerStat.tier, ["Go", "go"]),
|
||||
),
|
||||
)
|
||||
.orderBy(asc(providerStat.period_key)),
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { sql } from "drizzle-orm"
|
||||
|
||||
export const UPSERT_CHUNK_SIZE = 500
|
||||
export const DATA_SITE_TIERS = ["Go", "go", "Free", "free"]
|
||||
const DAY_MS = 86_400_000
|
||||
|
||||
export type StatGrain = "day" | "week"
|
||||
@@ -277,12 +276,7 @@ export function weightedAverage(
|
||||
}
|
||||
|
||||
export function normalizeTier(value: string) {
|
||||
const normalized = value.toLowerCase()
|
||||
if (normalized === "paid" || normalized === "zen") return "Zen"
|
||||
if (normalized === "go") return "Go"
|
||||
if (normalized === "free") return "Free"
|
||||
if (normalized === "enterprise") return "Enterprise"
|
||||
if (normalized === "all") return "all"
|
||||
if (value === "Paid") return "Zen"
|
||||
return value
|
||||
}
|
||||
|
||||
|
||||
@@ -3,7 +3,7 @@ import { readdir } from "node:fs/promises"
|
||||
import path from "node:path"
|
||||
import { drizzle } from "drizzle-orm/planetscale-serverless"
|
||||
import { geoStat, modelStat, providerStat } from "./database/schema"
|
||||
import { FREE_MODELS, statModel, statProvider } from "./domain/model-normalization"
|
||||
import { statModel, statProvider } from "./domain/model-normalization"
|
||||
import {
|
||||
chunks,
|
||||
collapseRows,
|
||||
@@ -25,6 +25,7 @@ import {
|
||||
const DAY_MS = 86_400_000
|
||||
const DEFAULT_UPSERT_CHUNK_SIZE = 100
|
||||
const DEFAULT_TIERS = ["Go", "Free", "Paid"]
|
||||
const FREE_MODELS = new Set(["gpt-5-nano", "grok-code", "big-pickle"])
|
||||
|
||||
type Grain = "day" | "week"
|
||||
type MetricDimension = "model" | "provider" | "geo" | "geo-model"
|
||||
|
||||
@@ -50,7 +50,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
تشمل قائمة النماذج الحالية:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -61,7 +60,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -82,45 +80,42 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
- **الحد الأسبوعي** — استخدام بقيمة $30
|
||||
- **الحد الشهري** — استخدام بقيمة $60
|
||||
|
||||
تُحدَّد الحدود بالقيمة بالدولار. وهذا يعني أن عدد طلباتك الفعلي يعتمد على النموذج الذي تستخدمه. تتيح النماذج الأقل تكلفة مثل MiMo-V2.5 عددًا أكبر من الطلبات، بينما تتيح النماذج الأعلى تكلفة مثل GLM-5.2 عددًا أقل.
|
||||
تُحدَّد الحدود بالقيمة بالدولار. وهذا يعني أن عدد طلباتك الفعلي يعتمد على النموذج الذي تستخدمه. تتيح النماذج الأقل تكلفة مثل DeepSeek V4 Flash عددًا أكبر من الطلبات، بينما تتيح النماذج الأعلى تكلفة مثل GLM-5.2 عددًا أقل.
|
||||
|
||||
يوضح الجدول أدناه عددًا تقديريًا للطلبات بناءً على أنماط استخدام Go المعتادة:
|
||||
|
||||
| Model | الطلبات لكل 5 ساعات | الطلبات في الأسبوع | الطلبات في الشهر |
|
||||
| -------------------------- | ------------------- | ------------------ | ---------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | الطلبات لكل 5 ساعات | الطلبات في الأسبوع | الطلبات في الشهر |
|
||||
| ----------------- | ------------------- | ------------------ | ---------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
تستند التقديرات إلى أنماط الطلبات المرصودة:
|
||||
|
||||
- Grok 4.5 — 1,100 input، و71,500 cached، و220 output tokens لكل طلب
|
||||
- GLM-5.3/5.2/5.1 — 700 input، و52,000 cached، و150 output tokens لكل طلب
|
||||
- GLM-5.2/5.1 — 700 input، و52,000 cached، و150 output tokens لكل طلب
|
||||
- GPT 5.6 Luna — 1,000 توكن إدخال، و50,000 توكن مخزّن مؤقتًا، و220 توكن إخراج لكل طلب
|
||||
- Kimi K3 — 1,050 input، و76,500 cached، و300 output tokens لكل طلب
|
||||
- Kimi K2.7/K2.6 — 870 input، و55,000 cached، و200 output tokens لكل طلب
|
||||
- DeepSeek V4 Pro — 750 input، و82,000 cached، و290 output tokens لكل طلب
|
||||
- DeepSeek V4 Flash — 410 input، و71,300 cached، و310 output tokens لكل طلب
|
||||
- DeepSeek V4 Flash — 790 input، و68,000 cached، و280 output tokens لكل طلب
|
||||
- MiniMax M3 — 510 input، و56,000 cached، و190 output tokens لكل طلب
|
||||
- MiniMax M2.7 — 300 input، و55,000 cached، و125 output tokens لكل طلب
|
||||
- Muse Spark 1.2 Contributor — 620 input، و71,400 cached، و300 output tokens لكل طلب
|
||||
- Qwen3.8 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
|
||||
- Qwen3.7 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
|
||||
- Qwen3.7 Plus — 500 input، و57,000 cached، و190 output tokens لكل طلب
|
||||
@@ -136,7 +131,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -147,21 +141,16 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** ساعات Peak هي 01:00-04:00 و06:00-10:00 UTC؛ وجميع الساعات الأخرى Off-Peak. [اعرف المزيد](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
يمكنك تتبّع استخدامك الحالي في **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -194,29 +183,27 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
|
||||
يمكنك أيضًا الوصول إلى نماذج Go عبر نقاط نهاية API التالية.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K3، ستستخدم `opencode-go/kimi-k3` في إعداداتك.
|
||||
|
||||
@@ -234,32 +221,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## الخصوصية
|
||||
|
||||
| النموذج | تدريب النموذج | الاحتفاظ بالبيانات |
|
||||
| -------------------------- | ------------- | ------------------ |
|
||||
| Grok 4.5 | غير مستخدَمة | 30 يومًا |
|
||||
| GPT 5.6 Luna | غير مستخدَمة | 30 يومًا |
|
||||
| GLM-5.3 | غير مستخدَمة | 0 أيام |
|
||||
| GLM-5.2 | غير مستخدَمة | 0 أيام |
|
||||
| GLM-5.1 | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K3 | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K2.7 Code | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K2.6 | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.5-Pro | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.5 | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.8 Max | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.7 Max | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.7 Plus | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.6 Plus | غير مستخدَمة | 0 أيام |
|
||||
| MiniMax M3 | غير مستخدَمة | 0 أيام |
|
||||
| MiniMax M2.7 | غير مستخدَمة | 0 أيام |
|
||||
| Muse Spark 1.2 Contributor | نعم | ليست ZDR |
|
||||
| DeepSeek V4 Pro | غير مستخدَمة | 0 أيام |
|
||||
| DeepSeek V4 Flash | غير مستخدَمة | 0 أيام |
|
||||
| Hy3 | غير مستخدَمة | 0 أيام |
|
||||
| النموذج | تدريب النموذج | الاحتفاظ بالبيانات |
|
||||
| ----------------- | ------------- | ------------------ |
|
||||
| Grok 4.5 | غير مستخدَمة | 30 يومًا |
|
||||
| GPT 5.6 Luna | غير مستخدَمة | 30 يومًا |
|
||||
| GLM-5.2 | غير مستخدَمة | 0 أيام |
|
||||
| GLM-5.1 | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K3 | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K2.7 Code | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K2.6 | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.5-Pro | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.5 | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.8 Max | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.7 Max | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.7 Plus | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.6 Plus | غير مستخدَمة | 0 أيام |
|
||||
| MiniMax M3 | غير مستخدَمة | 0 أيام |
|
||||
| MiniMax M2.7 | غير مستخدَمة | 0 أيام |
|
||||
| DeepSeek V4 Pro | غير مستخدَمة | 0 أيام |
|
||||
| DeepSeek V4 Flash | غير مستخدَمة | 0 أيام |
|
||||
| Hy3 | غير مستخدَمة | 0 أيام |
|
||||
|
||||
- **Grok 4.5:** تعطّل ZDR ميزات API مهمة تعتمد على البيانات المخزنة، بما في ذلك Responses API ذات الحالة، وFiles and Collections، وBatch API. [اعرف المزيد](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** تُنشأ سجلات مراقبة إساءة الاستخدام لكل استخدام لميزات API، ويُحتفظ بها لمدة تصل إلى 30 يومًا. [اعرف المزيد](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** أسعار توكنات مخفّضة للغاية مقابل منح الإذن باستخدام مطالباتك وإكمالات النموذج لتدريب نماذج Meta المستقبلية. [اعرف المزيد](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** تُجدَّد اتفاقية ZDR شهريًا. الاتفاقية الحالية سارية حتى 31 أغسطس 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -53,70 +53,69 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
|
||||
يمكنك أيضا الوصول إلى نماذجنا عبر نقاط نهاية API التالية.
|
||||
|
||||
| النموذج | معرّف النموذج | نقطة النهاية | حزمة AI SDK |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| النموذج | معرّف النموذج | نقطة النهاية | حزمة AI SDK |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.5، ستستخدم `opencode/gpt-5.5` في إعداداتك.
|
||||
|
||||
@@ -139,11 +138,12 @@ https://opencode.ai/zen/v1/models
|
||||
| النموذج | الإدخال | الإخراج | القراءة المخزنة | الكتابة المخزنة |
|
||||
| --------------------------------- | ------- | ------- | --------------- | --------------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -158,10 +158,8 @@ https://opencode.ai/zen/v1/models
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -173,7 +171,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -185,7 +182,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -212,8 +208,6 @@ https://opencode.ai/zen/v1/models
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** ساعات Peak هي 01:00-04:00 و06:00-10:00 UTC؛ وجميع الساعات الأخرى Off-Peak. [اعرف المزيد](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
قد تلاحظ [نماذج منخفضة التكلفة](/docs/config/#models)، مثل Haiku أو Nano أو Flash، في سجل الاستخدام. يستخدم OpenCode هذه النماذج لإنشاء عناوين الجلسات.
|
||||
|
||||
:::note
|
||||
@@ -222,12 +216,13 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
النماذج المجانية:
|
||||
|
||||
- DeepSeek V4 Flash Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- MiMo-V2.5 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Hy3 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Laguna S 2.1 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Nemotron 3 Ultra Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Nemotron 3.5 Lightning Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Big Pickle نموذج خفي ومتاح مجانا على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Muse Spark 1.2 Contributor Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
|
||||
<a href={email}>تواصل معنا</a> إذا كانت لديك أي أسئلة.
|
||||
|
||||
@@ -279,13 +274,14 @@ https://opencode.ai/zen/v1/models
|
||||
تتم استضافة جميع نماذجنا في الولايات المتحدة. يلتزم مزوّدونا بسياسة عدم الاحتفاظ بالبيانات ولا يستخدمون بياناتك لتدريب النماذج، مع الاستثناءات التالية:
|
||||
|
||||
- Big Pickle: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- DeepSeek V4 Flash Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- MiMo-V2.5 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Hy3 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Laguna S 2.1 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Nemotron 3 Ultra Free (نقاط نهاية NVIDIA المجانية): للاستخدام التجريبي فقط — لا ترسل بيانات شخصية أو سرية. يُسجَّل استخدامك لأغراض أمنية ولتحسين منتجات وخدمات NVIDIA. بيانات الجلسة المُسجَّلة لأغراض التحسين غير مرتبطة بهويتك أو بأي مُعرِّف دائم. لمزيد من المعلومات حول ممارسات معالجة البيانات لدينا، راجع [سياسة الخصوصية](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). بتفاعلك مع نقطة النهاية هذه، فإنك توافق على جمعنا لهذه المعلومات وتسجيلها واستخدامها وعلى [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (نقاط نهاية NVIDIA المجانية): للاستخدام التجريبي فقط — لا ترسل بيانات شخصية أو سرية. يُسجَّل استخدامك لأغراض أمنية ولتحسين منتجات وخدمات NVIDIA. بيانات الجلسة المُسجَّلة لأغراض التحسين غير مرتبطة بهويتك أو بأي مُعرِّف دائم. لمزيد من المعلومات حول ممارسات معالجة البيانات لدينا، راجع [سياسة الخصوصية](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). بتفاعلك مع نقطة النهاية هذه، فإنك توافق على جمعنا لهذه المعلومات وتسجيلها واستخدامها وعلى [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
- Muse Spark 1.2 Contributor Free: أسعار توكنات مخفّضة للغاية مقابل منح الإذن باستخدام مطالباتك وإكمالاتك لتدريب نماذج Meta المستقبلية. [اعرف المزيد](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -60,7 +60,6 @@ Samo jedan član po radnom prostoru (workspace) može se pretplatiti na OpenCode
|
||||
Trenutna lista modela uključuje:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -71,7 +70,6 @@ Trenutna lista modela uključuje:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -92,45 +90,42 @@ OpenCode Go uključuje sljedeća ograničenja:
|
||||
- **Sedmično ograničenje** — $30 potrošnje
|
||||
- **Mjesečno ograničenje** — $60 potrošnje
|
||||
|
||||
Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni broj zahtjeva zavisi od modela koji koristite. Jeftiniji modeli poput MiMo-V2.5 omogućavaju više zahtjeva, dok skuplji modeli poput GLM-5.2 omogućavaju manje.
|
||||
Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni broj zahtjeva zavisi od modela koji koristite. Jeftiniji modeli poput DeepSeek V4 Flash omogućavaju više zahtjeva, dok skuplji modeli poput GLM-5.2 omogućavaju manje.
|
||||
|
||||
Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca korištenja Go pretplate:
|
||||
|
||||
| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
|
||||
| -------------------------- | ------------------ | ----------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
|
||||
| ----------------- | ------------------ | ----------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Procjene se zasnivaju na zapaženim obrascima zahtjeva:
|
||||
|
||||
- Grok 4.5 — 1,100 ulaznih, 71,500 keširanih, 220 izlaznih tokena po zahtjevu
|
||||
- GLM-5.3/5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
|
||||
- GLM-5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
|
||||
- GPT 5.6 Luna — 1,000 ulaznih, 50,000 keširanih, 220 izlaznih tokena po zahtjevu
|
||||
- Kimi K3 — 1,050 ulaznih, 76,500 keširanih, 300 izlaznih tokena po zahtjevu
|
||||
- Kimi K2.7/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Flash — 410 ulaznih, 71,300 keširanih, 310 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
|
||||
- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
- MiniMax M2.7 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
|
||||
- Muse Spark 1.2 Contributor — 620 ulaznih, 71,400 keširanih, 300 izlaznih tokena po zahtjevu
|
||||
- Qwen3.8 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
- Qwen3.7 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
- Qwen3.7 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
@@ -146,7 +141,6 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -157,21 +151,16 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak sati su 01:00-04:00 i 06:00-10:00 UTC; svi ostali sati su Off-Peak. [Saznajte više](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Svoju trenutnu potrošnju možete pratiti u **<a href={console}>konzoli</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,29 +195,27 @@ Za ove modele i dalje dobijate malo više nego da direktno plaćate provajderima
|
||||
|
||||
Također možete pristupiti Go modelima putem sljedećih API endpointa.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Paket |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Paket |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
[Model id](/docs/config/#models) u vašoj OpenCode konfiguraciji
|
||||
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K3, koristili biste
|
||||
@@ -248,32 +235,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## Privatnost
|
||||
|
||||
| Model | Treniranje modela | Zadržavanje podataka |
|
||||
| -------------------------- | ----------------- | -------------------- |
|
||||
| Grok 4.5 | Ne koristi se | 30 dana |
|
||||
| GPT 5.6 Luna | Ne koristi se | 30 dana |
|
||||
| GLM-5.3 | Ne koristi se | 0 dana |
|
||||
| GLM-5.2 | Ne koristi se | 0 dana |
|
||||
| GLM-5.1 | Ne koristi se | 0 dana |
|
||||
| Kimi K3 | Ne koristi se | 0 dana |
|
||||
| Kimi K2.7 Code | Ne koristi se | 0 dana |
|
||||
| Kimi K2.6 | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.5-Pro | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.5 | Ne koristi se | 0 dana |
|
||||
| Qwen3.8 Max | Ne koristi se | 0 dana |
|
||||
| Qwen3.7 Max | Ne koristi se | 0 dana |
|
||||
| Qwen3.7 Plus | Ne koristi se | 0 dana |
|
||||
| Qwen3.6 Plus | Ne koristi se | 0 dana |
|
||||
| MiniMax M3 | Ne koristi se | 0 dana |
|
||||
| MiniMax M2.7 | Ne koristi se | 0 dana |
|
||||
| Muse Spark 1.2 Contributor | Da | Nije ZDR |
|
||||
| DeepSeek V4 Pro | Ne koristi se | 0 dana |
|
||||
| DeepSeek V4 Flash | Ne koristi se | 0 dana |
|
||||
| Hy3 | Ne koristi se | 0 dana |
|
||||
| Model | Treniranje modela | Zadržavanje podataka |
|
||||
| ----------------- | ----------------- | -------------------- |
|
||||
| Grok 4.5 | Ne koristi se | 30 dana |
|
||||
| GPT 5.6 Luna | Ne koristi se | 30 dana |
|
||||
| GLM-5.2 | Ne koristi se | 0 dana |
|
||||
| GLM-5.1 | Ne koristi se | 0 dana |
|
||||
| Kimi K3 | Ne koristi se | 0 dana |
|
||||
| Kimi K2.7 Code | Ne koristi se | 0 dana |
|
||||
| Kimi K2.6 | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.5-Pro | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.5 | Ne koristi se | 0 dana |
|
||||
| Qwen3.8 Max | Ne koristi se | 0 dana |
|
||||
| Qwen3.7 Max | Ne koristi se | 0 dana |
|
||||
| Qwen3.7 Plus | Ne koristi se | 0 dana |
|
||||
| Qwen3.6 Plus | Ne koristi se | 0 dana |
|
||||
| MiniMax M3 | Ne koristi se | 0 dana |
|
||||
| MiniMax M2.7 | Ne koristi se | 0 dana |
|
||||
| DeepSeek V4 Pro | Ne koristi se | 0 dana |
|
||||
| DeepSeek V4 Flash | Ne koristi se | 0 dana |
|
||||
| Hy3 | Ne koristi se | 0 dana |
|
||||
|
||||
- **Grok 4.5:** ZDR onemogućava važne API funkcije koje zavise od pohranjenih podataka, uključujući Responses API s očuvanjem stanja, Files and Collections i Batch API. [Saznajte više](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** Zapisi o nadzoru zloupotrebe generišu se za svako korištenje API funkcija i čuvaju do 30 dana. [Saznajte više](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** Znatno snižene cijene tokena u zamjenu za dopuštenje da se vaši promptovi i odgovori modela koriste za treniranje budućih Meta modela. [Saznajte više](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** ZDR sporazum obnavlja se mjesečno. Trenutni sporazum važi do 31. augusta 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -58,70 +58,69 @@ Naplata se vrši po zahtjevu i možete dodavati kredit na svoj račun.
|
||||
|
||||
Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
[model id](/docs/config/#models) u vašoj OpenCode konfiguraciji koristi format
|
||||
`opencode/<model-id>`. Na primjer, za GPT 5.5 u konfiguraciji biste
|
||||
@@ -146,11 +145,12 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -165,10 +165,8 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -180,7 +178,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -192,7 +189,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -219,8 +215,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak sati su 01:00-04:00 i 06:00-10:00 UTC; svi ostali sati su Off-Peak. [Saznajte više](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
U historiji korištenja možete primijetiti [jeftinije modele](/docs/config/#models), kao što su Haiku, Nano ili Flash. OpenCode koristi ove modele za generisanje naslova sesija.
|
||||
|
||||
:::note
|
||||
@@ -229,12 +223,13 @@ Naknade za kreditne kartice prosljeđujemo po stvarnom trošku (4.4% + $0.30 po
|
||||
|
||||
Besplatni modeli:
|
||||
|
||||
- DeepSeek V4 Flash Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- MiMo-V2.5 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Hy3 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Laguna S 2.1 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Nemotron 3 Ultra Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Nemotron 3.5 Lightning Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Big Pickle je stealth model koji je besplatan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Muse Spark 1.2 Contributor Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
|
||||
<a href={email}>Kontaktirajte nas</a> ako imate bilo kakvih pitanja.
|
||||
|
||||
@@ -291,13 +286,14 @@ Svi naši modeli su hostovani u US. Naši provajderi prate zero-retention politi
|
||||
i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
|
||||
|
||||
- Big Pickle: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- DeepSeek V4 Flash Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- MiMo-V2.5 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Hy3 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Laguna S 2.1 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Nemotron 3 Ultra Free (besplatni NVIDIA endpointi): Samo za probnu upotrebu — nemojte slati lične ili povjerljive podatke. Vaše korištenje se bilježi radi sigurnosti i poboljšanja NVIDIA proizvoda i usluga. Zabilježeni podaci sesije koji se koriste u svrhu poboljšanja nisu povezani s vašim identitetom niti bilo kojim trajnim identifikatorom. Za više informacija o našim praksama obrade podataka pogledajte našu [Politiku privatnosti](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interakcijom s ovim endpointom pristajete na naše prikupljanje, bilježenje i korištenje takvih informacija te na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (besplatni NVIDIA endpointi): Samo za probnu upotrebu — nemojte slati lične ili povjerljive podatke. Vaše korištenje se bilježi radi sigurnosti i poboljšanja NVIDIA proizvoda i usluga. Zabilježeni podaci sesije koji se koriste u svrhu poboljšanja nisu povezani s vašim identitetom niti bilo kojim trajnim identifikatorom. Za više informacija o našim praksama obrade podataka pogledajte našu [Politiku privatnosti](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interakcijom s ovim endpointom pristajete na naše prikupljanje, bilježenje i korištenje takvih informacija te na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
- Muse Spark 1.2 Contributor Free: Znatno snižene cijene tokena u zamjenu za dozvolu da se vaši promptovi i odgovori koriste za treniranje budućih Meta modela. [Saznajte više](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -60,7 +60,6 @@ Kun ét medlem per arbejdsområde kan abonnere på OpenCode Go.
|
||||
Den nuværende liste over modeller inkluderer:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -71,7 +70,6 @@ Den nuværende liste over modeller inkluderer:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -92,45 +90,42 @@ OpenCode Go inkluderer følgende grænser:
|
||||
- **Ugentlig grænse** — forbrug for $30
|
||||
- **Månedlig grænse** — forbrug for $60
|
||||
|
||||
Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmodninger afhænger af den model, du bruger. Billigere modeller som MiMo-V2.5 tillader flere anmodninger, mens dyrere modeller som GLM-5.2 tillader færre.
|
||||
Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmodninger afhænger af den model, du bruger. Billigere modeller som DeepSeek V4 Flash tillader flere anmodninger, mens dyrere modeller som GLM-5.2 tillader færre.
|
||||
|
||||
Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-forbrugsmønstre:
|
||||
|
||||
| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
|
||||
| -------------------------- | ----------------------- | ------------------- | --------------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
|
||||
| ----------------- | ----------------------- | ------------------- | --------------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Estimaterne er baseret på observerede anmodningsmønstre:
|
||||
|
||||
- Grok 4.5 — 1.100 input, 71.500 cachelagrede, 220 output-tokens pr. anmodning
|
||||
- GLM-5.3/5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
|
||||
- GLM-5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
|
||||
- GPT 5.6 Luna — 1.000 input, 50.000 cachelagrede, 220 output-tokens pr. anmodning
|
||||
- Kimi K3 — 1.050 input, 76.500 cachelagrede, 300 output-tokens pr. anmodning
|
||||
- Kimi K2.7/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Pro — 750 input, 82.000 cachelagrede, 290 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Flash — 410 input, 71.300 cachelagrede, 310 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
|
||||
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
- MiniMax M2.7 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
|
||||
- Muse Spark 1.2 Contributor — 620 input, 71.400 cachelagrede, 300 output-tokens pr. anmodning
|
||||
- Qwen3.8 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- Qwen3.7 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- Qwen3.7 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
@@ -146,7 +141,6 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -157,21 +151,16 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tiderne er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Læs mere](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du kan spore dit nuværende forbrug i **<a href={console}>konsollen</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,29 +195,27 @@ Med disse modeller får du stadig lidt mere, end hvis du betalte modeludbyderne
|
||||
|
||||
Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Dit [model id](/docs/config/#models) i din OpenCode config
|
||||
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K3, vil du
|
||||
@@ -248,32 +235,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## Privatliv
|
||||
|
||||
| Model | Modeltræning | Dataopbevaring |
|
||||
| -------------------------- | ------------ | -------------- |
|
||||
| Grok 4.5 | Ikke brugt | 30 dage |
|
||||
| GPT 5.6 Luna | Ikke brugt | 30 dage |
|
||||
| GLM-5.3 | Ikke brugt | 0 dage |
|
||||
| GLM-5.2 | Ikke brugt | 0 dage |
|
||||
| GLM-5.1 | Ikke brugt | 0 dage |
|
||||
| Kimi K3 | Ikke brugt | 0 dage |
|
||||
| Kimi K2.7 Code | Ikke brugt | 0 dage |
|
||||
| Kimi K2.6 | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.5-Pro | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.5 | Ikke brugt | 0 dage |
|
||||
| Qwen3.8 Max | Ikke brugt | 0 dage |
|
||||
| Qwen3.7 Max | Ikke brugt | 0 dage |
|
||||
| Qwen3.7 Plus | Ikke brugt | 0 dage |
|
||||
| Qwen3.6 Plus | Ikke brugt | 0 dage |
|
||||
| MiniMax M3 | Ikke brugt | 0 dage |
|
||||
| MiniMax M2.7 | Ikke brugt | 0 dage |
|
||||
| Muse Spark 1.2 Contributor | Ja | Ikke ZDR |
|
||||
| DeepSeek V4 Pro | Ikke brugt | 0 dage |
|
||||
| DeepSeek V4 Flash | Ikke brugt | 0 dage |
|
||||
| Hy3 | Ikke brugt | 0 dage |
|
||||
| Model | Modeltræning | Dataopbevaring |
|
||||
| ----------------- | ------------ | -------------- |
|
||||
| Grok 4.5 | Ikke brugt | 30 dage |
|
||||
| GPT 5.6 Luna | Ikke brugt | 30 dage |
|
||||
| GLM-5.2 | Ikke brugt | 0 dage |
|
||||
| GLM-5.1 | Ikke brugt | 0 dage |
|
||||
| Kimi K3 | Ikke brugt | 0 dage |
|
||||
| Kimi K2.7 Code | Ikke brugt | 0 dage |
|
||||
| Kimi K2.6 | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.5-Pro | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.5 | Ikke brugt | 0 dage |
|
||||
| Qwen3.8 Max | Ikke brugt | 0 dage |
|
||||
| Qwen3.7 Max | Ikke brugt | 0 dage |
|
||||
| Qwen3.7 Plus | Ikke brugt | 0 dage |
|
||||
| Qwen3.6 Plus | Ikke brugt | 0 dage |
|
||||
| MiniMax M3 | Ikke brugt | 0 dage |
|
||||
| MiniMax M2.7 | Ikke brugt | 0 dage |
|
||||
| DeepSeek V4 Pro | Ikke brugt | 0 dage |
|
||||
| DeepSeek V4 Flash | Ikke brugt | 0 dage |
|
||||
| Hy3 | Ikke brugt | 0 dage |
|
||||
|
||||
- **Grok 4.5:** ZDR deaktiverer vigtige API-funktioner, der afhænger af lagrede data, herunder den tilstandsbevarende Responses API, Files and Collections og Batch API. [Læs mere](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** Logfiler til overvågning af misbrug genereres ved al brug af API-funktioner og opbevares i op til 30 dage. [Læs mere](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** Kraftigt nedsatte tokenpriser til gengæld for tilladelse til at bruge dine prompts og modelsvar til at træne fremtidige Meta-modeller. [Læs mere](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** ZDR-aftalen fornyes månedligt. Den nuværende aftale er gyldig til og med 31. august 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -58,70 +58,69 @@ Du bliver opkrævet pr. anmodning, og du kan tilføje kredit til din konto.
|
||||
|
||||
Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK-pakke |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Model | Model ID | Endpoint | AI SDK-pakke |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
[model id](/docs/config/#models) i din OpenCode-konfiguration
|
||||
bruger formatet `opencode/<model-id>`. For eksempel ville du for GPT 5.5
|
||||
@@ -146,11 +145,12 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -165,10 +165,8 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -180,7 +178,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -192,7 +189,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -219,8 +215,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tiderne er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Læs mere](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du vil måske bemærke [lavprismodeller](/docs/config/#models), såsom Haiku, Nano eller Flash, i din brugshistorik. OpenCode bruger disse modeller til at generere sessionstitler.
|
||||
|
||||
:::note
|
||||
@@ -229,12 +223,13 @@ Kreditkortgebyrer videregives til kostpris (4.4% + $0.30 pr. transaktion); vi op
|
||||
|
||||
De gratis modeller:
|
||||
|
||||
- DeepSeek V4 Flash Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- MiMo-V2.5 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Hy3 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Laguna S 2.1 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Nemotron 3 Ultra Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Nemotron 3.5 Lightning Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Big Pickle er en stealth-model, som er gratis på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Muse Spark 1.2 Contributor Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
|
||||
<a href={email}>Kontakt os</a>, hvis du har spørgsmål.
|
||||
|
||||
@@ -289,13 +284,14 @@ at opkræve dig mere end $20, hvis din saldo kommer under $5.
|
||||
Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspolitik og bruger ikke dine data til modeltræning, med følgende undtagelser:
|
||||
|
||||
- Big Pickle: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- DeepSeek V4 Flash Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- MiMo-V2.5 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Hy3 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Laguna S 2.1 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Nemotron 3 Ultra Free (gratis NVIDIA-endpoints): Kun til prøvebrug — indsend ikke personlige eller fortrolige data. Din brug logges af sikkerhedshensyn og for at forbedre NVIDIAs produkter og tjenester. De loggede sessionsdata, der bruges til forbedringsformål, er ikke knyttet til din identitet eller nogen vedvarende identifikator. For mere information om vores databehandlingspraksis, se vores [privatlivspolitik](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved at interagere med dette endpoint giver du samtykke til vores indsamling, registrering og brug af sådanne oplysninger samt [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (gratis NVIDIA-endpoints): Kun til prøvebrug — indsend ikke personlige eller fortrolige data. Din brug logges af sikkerhedshensyn og for at forbedre NVIDIAs produkter og tjenester. De loggede sessionsdata, der bruges til forbedringsformål, er ikke knyttet til din identitet eller nogen vedvarende identifikator. For mere information om vores databehandlingspraksis, se vores [privatlivspolitik](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved at interagere med dette endpoint giver du samtykke til vores indsamling, registrering og brug af sådanne oplysninger samt [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
- Muse Spark 1.2 Contributor Free: Kraftigt nedsatte tokenpriser til gengæld for tilladelse til at bruge dine prompts og svar til at træne fremtidige Meta-modeller. [Læs mere](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -52,7 +52,6 @@ Nur ein Mitglied pro Workspace kann OpenCode Go abonnieren.
|
||||
Die aktuelle Liste der Modelle umfasst:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -63,7 +62,6 @@ Die aktuelle Liste der Modelle umfasst:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -84,45 +82,42 @@ OpenCode Go beinhaltet die folgenden Limits:
|
||||
- **Wöchentliches Limit** — 30 $ Nutzung
|
||||
- **Monatliches Limit** — 60 $ Nutzung
|
||||
|
||||
Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anzahl deiner Anfragen von dem von dir genutzten Modell abhängt. Günstigere Modelle wie MiMo-V2.5 erlauben mehr Anfragen, während teurere Modelle wie GLM-5.2 weniger erlauben.
|
||||
Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anzahl deiner Anfragen von dem von dir genutzten Modell abhängt. Günstigere Modelle wie DeepSeek V4 Flash erlauben mehr Anfragen, während teurere Modelle wie GLM-5.2 weniger erlauben.
|
||||
|
||||
Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf typischen Go-Nutzungsmustern:
|
||||
|
||||
| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
|
||||
| -------------------------- | ---------------------- | ------------------ | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
|
||||
| ----------------- | ---------------------- | ------------------ | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Die Schätzungen basieren auf beobachteten Anfragemustern:
|
||||
|
||||
- Grok 4.5 — 1.100 Input-, 71.500 Cached-, 220 Output-Tokens pro Anfrage
|
||||
- GLM-5.3/5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
|
||||
- GLM-5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
|
||||
- GPT 5.6 Luna — 1.000 Input-, 50.000 Cached-, 220 Output-Tokens pro Anfrage
|
||||
- Kimi K3 — 1.050 Input-, 76.500 Cached-, 300 Output-Tokens pro Anfrage
|
||||
- Kimi K2.7/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Pro — 750 Input-, 82.000 Cached-, 290 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Flash — 410 Input-, 71.300 Cached-, 310 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
|
||||
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
- MiniMax M2.7 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
|
||||
- Muse Spark 1.2 Contributor — 620 Input-, 71.400 Cached-, 300 Output-Tokens pro Anfrage
|
||||
- Qwen3.8 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- Qwen3.7 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- Qwen3.7 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
@@ -138,7 +133,6 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -149,21 +143,16 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Die Peak-Zeiten sind 01:00-04:00 und 06:00-10:00 UTC; alle anderen Zeiten sind Off-Peak. [Mehr erfahren](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du kannst deine aktuelle Nutzung in der **<a href={console}>Console</a>** verfolgen.
|
||||
|
||||
:::tip
|
||||
@@ -196,29 +185,27 @@ Bei diesen Modellen erhältst du immer noch etwas mehr, als wenn du die Modellan
|
||||
|
||||
Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
||||
|
||||
| Modell | Modell-ID | Endpunkt | AI SDK Package |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Modell | Modell-ID | Endpunkt | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K3 würdest du beispielsweise `opencode-go/kimi-k3` in deiner Config verwenden.
|
||||
|
||||
@@ -236,32 +223,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## Datenschutz
|
||||
|
||||
| Modell | Modelltraining | Datenaufbewahrung |
|
||||
| -------------------------- | --------------- | ----------------- |
|
||||
| Grok 4.5 | Nicht verwendet | 30 Tage |
|
||||
| GPT 5.6 Luna | Nicht verwendet | 30 Tage |
|
||||
| GLM-5.3 | Nicht verwendet | 0 Tage |
|
||||
| GLM-5.2 | Nicht verwendet | 0 Tage |
|
||||
| GLM-5.1 | Nicht verwendet | 0 Tage |
|
||||
| Kimi K3 | Nicht verwendet | 0 Tage |
|
||||
| Kimi K2.7 Code | Nicht verwendet | 0 Tage |
|
||||
| Kimi K2.6 | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.5-Pro | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.5 | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.8 Max | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.7 Max | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.7 Plus | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.6 Plus | Nicht verwendet | 0 Tage |
|
||||
| MiniMax M3 | Nicht verwendet | 0 Tage |
|
||||
| MiniMax M2.7 | Nicht verwendet | 0 Tage |
|
||||
| Muse Spark 1.2 Contributor | Ja | Kein ZDR |
|
||||
| DeepSeek V4 Pro | Nicht verwendet | 0 Tage |
|
||||
| DeepSeek V4 Flash | Nicht verwendet | 0 Tage |
|
||||
| Hy3 | Nicht verwendet | 0 Tage |
|
||||
| Modell | Modelltraining | Datenaufbewahrung |
|
||||
| ----------------- | --------------- | ----------------- |
|
||||
| Grok 4.5 | Nicht verwendet | 30 Tage |
|
||||
| GPT 5.6 Luna | Nicht verwendet | 30 Tage |
|
||||
| GLM-5.2 | Nicht verwendet | 0 Tage |
|
||||
| GLM-5.1 | Nicht verwendet | 0 Tage |
|
||||
| Kimi K3 | Nicht verwendet | 0 Tage |
|
||||
| Kimi K2.7 Code | Nicht verwendet | 0 Tage |
|
||||
| Kimi K2.6 | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.5-Pro | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.5 | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.8 Max | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.7 Max | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.7 Plus | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.6 Plus | Nicht verwendet | 0 Tage |
|
||||
| MiniMax M3 | Nicht verwendet | 0 Tage |
|
||||
| MiniMax M2.7 | Nicht verwendet | 0 Tage |
|
||||
| DeepSeek V4 Pro | Nicht verwendet | 0 Tage |
|
||||
| DeepSeek V4 Flash | Nicht verwendet | 0 Tage |
|
||||
| Hy3 | Nicht verwendet | 0 Tage |
|
||||
|
||||
- **Grok 4.5:** ZDR deaktiviert wichtige API-Funktionen, die von gespeicherten Daten abhängen, einschließlich der zustandsbehafteten Responses API, Files and Collections und der Batch API. [Mehr erfahren](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** Für die Nutzung aller API-Funktionen werden Protokolle zur Missbrauchsüberwachung erstellt und bis zu 30 Tage lang aufbewahrt. [Mehr erfahren](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** Stark vergünstigte Tokenpreise im Gegenzug für die Erlaubnis, deine Prompts und Vervollständigungen zum Trainieren zukünftiger Meta-Modelle zu verwenden. [Mehr erfahren](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** Die ZDR-Vereinbarung wird monatlich erneuert. Die aktuelle Vereinbarung gilt bis einschließlich 31. August 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -49,70 +49,69 @@ Dir wird pro Anfrage berechnet, und du kannst deinem Konto Guthaben hinzufügen.
|
||||
|
||||
Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/<model-id>`. Für GPT 5.5 würdest du zum Beispiel `opencode/gpt-5.5` in deiner Konfiguration verwenden.
|
||||
|
||||
@@ -135,11 +134,12 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -154,10 +154,8 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -169,7 +167,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -181,7 +178,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -208,8 +204,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Die Peak-Zeiten sind 01:00-04:00 und 06:00-10:00 UTC; alle anderen Zeiten sind Off-Peak. [Mehr erfahren](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Möglicherweise siehst du [kostengünstige Modelle](/docs/config/#models) wie Haiku, Nano oder Flash in deinem Nutzungsverlauf. OpenCode verwendet diese Modelle, um Session-Titel zu generieren.
|
||||
|
||||
:::note
|
||||
@@ -218,12 +212,13 @@ Kreditkartengebühren werden zum Selbstkostenpreis weitergegeben (4.4% + $0.30 p
|
||||
|
||||
Die kostenlosen Modelle:
|
||||
|
||||
- DeepSeek V4 Flash Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- MiMo-V2.5 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Hy3 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Laguna S 2.1 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Nemotron 3 Ultra Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Nemotron 3.5 Lightning Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Big Pickle ist ein Stealth-Modell, das für begrenzte Zeit kostenlos auf OpenCode verfügbar ist. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Muse Spark 1.2 Contributor Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
|
||||
<a href={email}>Kontaktiere uns</a>, wenn du Fragen hast.
|
||||
|
||||
@@ -275,13 +270,14 @@ Angenommen, du setzt ein monatliches Nutzungslimit von $20, dann wird Zen in ein
|
||||
Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zero-Retention-Richtlinie und verwenden deine Daten nicht zum Trainieren von Modellen, mit den folgenden Ausnahmen:
|
||||
|
||||
- Big Pickle: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- DeepSeek V4 Flash Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- MiMo-V2.5 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Hy3 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Laguna S 2.1 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Nemotron 3 Ultra Free (kostenlose NVIDIA-Endpunkte): Nur für Testzwecke — übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Ihre Nutzung wird zu Sicherheitszwecken und zur Verbesserung der Produkte und Dienste von NVIDIA protokolliert. Die zu Verbesserungszwecken protokollierten Sitzungsdaten sind nicht mit Ihrer Identität oder einem dauerhaften Identifikator verknüpft. Weitere Informationen zu unseren Datenverarbeitungspraktiken finden Sie in unserer [Datenschutzrichtlinie](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Durch die Interaktion mit diesem Endpunkt stimmen Sie unserer Erhebung, Aufzeichnung und Nutzung solcher Informationen sowie den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) zu.
|
||||
- Nemotron 3.5 Lightning Free (kostenlose NVIDIA-Endpunkte): Nur für Testzwecke — übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Ihre Nutzung wird zu Sicherheitszwecken und zur Verbesserung der Produkte und Dienste von NVIDIA protokolliert. Die zu Verbesserungszwecken protokollierten Sitzungsdaten sind nicht mit Ihrer Identität oder einem dauerhaften Identifikator verknüpft. Weitere Informationen zu unseren Datenverarbeitungspraktiken finden Sie in unserer [Datenschutzrichtlinie](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Durch die Interaktion mit diesem Endpunkt stimmen Sie unserer Erhebung, Aufzeichnung und Nutzung solcher Informationen sowie den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) zu.
|
||||
- OpenAI APIs: Anfragen werden in Übereinstimmung mit [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 30 Tage lang gespeichert.
|
||||
- Anthropic APIs: Anfragen werden in Übereinstimmung mit [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 30 Tage lang gespeichert.
|
||||
- Muse Spark 1.2 Contributor Free: Stark vergünstigte Token-Preise im Austausch für die Erlaubnis, deine Prompts und Completions zum Trainieren zukünftiger Meta-Modelle zu verwenden. [Mehr erfahren](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -60,7 +60,6 @@ Solo un miembro por espacio de trabajo puede suscribirse a OpenCode Go.
|
||||
La lista actual de modelos incluye:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -71,7 +70,6 @@ La lista actual de modelos incluye:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -92,45 +90,42 @@ OpenCode Go incluye los siguientes límites:
|
||||
- **Límite semanal** — $30 de uso
|
||||
- **Límite mensual** — $60 de uso
|
||||
|
||||
Los límites se definen en valor en dólares. Esto significa que tu cantidad real de peticiones depende del modelo que uses. Los modelos más económicos como MiMo-V2.5 permiten más peticiones, mientras que los modelos de mayor costo como GLM-5.2 permiten menos.
|
||||
Los límites se definen en valor en dólares. Esto significa que tu cantidad real de peticiones depende del modelo que uses. Los modelos más económicos como DeepSeek V4 Flash permiten más peticiones, mientras que los modelos de mayor costo como GLM-5.2 permiten menos.
|
||||
|
||||
La siguiente tabla proporciona una cantidad estimada de peticiones basada en los patrones típicos de uso de Go:
|
||||
|
||||
| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
|
||||
| -------------------------- | ---------------------- | --------------------- | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
|
||||
| ----------------- | ---------------------- | --------------------- | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Las estimaciones se basan en los patrones de peticiones observados:
|
||||
|
||||
- Grok 4.5 — 1,100 tokens de entrada, 71,500 en caché, 220 tokens de salida por petición
|
||||
- GLM-5.3/5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
|
||||
- GLM-5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
|
||||
- GPT 5.6 Luna — 1,000 tokens de entrada, 50,000 en caché, 220 tokens de salida por petición
|
||||
- Kimi K3 — 1,050 tokens de entrada, 76,500 en caché, 300 tokens de salida por petición
|
||||
- Kimi K2.7/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
|
||||
- DeepSeek V4 Pro — 750 tokens de entrada, 82,000 en caché, 290 tokens de salida por petición
|
||||
- DeepSeek V4 Flash — 410 tokens de entrada, 71,300 en caché, 310 tokens de salida por petición
|
||||
- DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
|
||||
- MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
|
||||
- MiniMax M2.7 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
|
||||
- Muse Spark 1.2 Contributor — 620 tokens de entrada, 71,400 en caché, 300 tokens de salida por petición
|
||||
- Qwen3.8 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
|
||||
- Qwen3.7 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
|
||||
- Qwen3.7 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
|
||||
@@ -146,7 +141,6 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -157,21 +151,16 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Las horas Peak son 01:00-04:00 y 06:00-10:00 UTC; todas las demás horas son Off-Peak. [Más información](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Puedes realizar un seguimiento de tu uso actual en la **<a href={console}>consola</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,29 +195,27 @@ Con estos modelos, aun así obtienes un poco más que si pagaras directamente a
|
||||
|
||||
También puedes acceder a los modelos de Go a través de los siguientes endpoints de la API.
|
||||
|
||||
| Modelo | ID del modelo | Endpoint | Paquete de AI SDK |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Modelo | ID del modelo | Endpoint | Paquete de AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
El [ID del modelo](/docs/config/#models) en tu configuración de OpenCode
|
||||
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K3, usarías
|
||||
@@ -248,32 +235,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## Privacidad
|
||||
|
||||
| Modelo | Entrenamiento del modelo | Retención de datos |
|
||||
| -------------------------- | ------------------------ | ------------------ |
|
||||
| Grok 4.5 | No utilizado | 30 días |
|
||||
| GPT 5.6 Luna | No utilizado | 30 días |
|
||||
| GLM-5.3 | No utilizado | 0 días |
|
||||
| GLM-5.2 | No utilizado | 0 días |
|
||||
| GLM-5.1 | No utilizado | 0 días |
|
||||
| Kimi K3 | No utilizado | 0 días |
|
||||
| Kimi K2.7 Code | No utilizado | 0 días |
|
||||
| Kimi K2.6 | No utilizado | 0 días |
|
||||
| MiMo-V2.5-Pro | No utilizado | 0 días |
|
||||
| MiMo-V2.5 | No utilizado | 0 días |
|
||||
| Qwen3.8 Max | No utilizado | 0 días |
|
||||
| Qwen3.7 Max | No utilizado | 0 días |
|
||||
| Qwen3.7 Plus | No utilizado | 0 días |
|
||||
| Qwen3.6 Plus | No utilizado | 0 días |
|
||||
| MiniMax M3 | No utilizado | 0 días |
|
||||
| MiniMax M2.7 | No utilizado | 0 días |
|
||||
| Muse Spark 1.2 Contributor | Sí | Sin ZDR |
|
||||
| DeepSeek V4 Pro | No utilizado | 0 días |
|
||||
| DeepSeek V4 Flash | No utilizado | 0 días |
|
||||
| Hy3 | No utilizado | 0 días |
|
||||
| Modelo | Entrenamiento del modelo | Retención de datos |
|
||||
| ----------------- | ------------------------ | ------------------ |
|
||||
| Grok 4.5 | No utilizado | 30 días |
|
||||
| GPT 5.6 Luna | No utilizado | 30 días |
|
||||
| GLM-5.2 | No utilizado | 0 días |
|
||||
| GLM-5.1 | No utilizado | 0 días |
|
||||
| Kimi K3 | No utilizado | 0 días |
|
||||
| Kimi K2.7 Code | No utilizado | 0 días |
|
||||
| Kimi K2.6 | No utilizado | 0 días |
|
||||
| MiMo-V2.5-Pro | No utilizado | 0 días |
|
||||
| MiMo-V2.5 | No utilizado | 0 días |
|
||||
| Qwen3.8 Max | No utilizado | 0 días |
|
||||
| Qwen3.7 Max | No utilizado | 0 días |
|
||||
| Qwen3.7 Plus | No utilizado | 0 días |
|
||||
| Qwen3.6 Plus | No utilizado | 0 días |
|
||||
| MiniMax M3 | No utilizado | 0 días |
|
||||
| MiniMax M2.7 | No utilizado | 0 días |
|
||||
| DeepSeek V4 Pro | No utilizado | 0 días |
|
||||
| DeepSeek V4 Flash | No utilizado | 0 días |
|
||||
| Hy3 | No utilizado | 0 días |
|
||||
|
||||
- **Grok 4.5:** ZDR deshabilita funciones importantes de la API que dependen de datos almacenados, incluidas la Responses API con estado, Files and Collections y la Batch API. [Más información](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** Se generan registros de supervisión de abusos para todo el uso de funciones de la API y se conservan durante un máximo de 30 días. [Más información](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** Precios de tokens muy reducidos a cambio de permitir que tus prompts y las respuestas generadas se utilicen para entrenar futuros modelos de Meta. [Más información](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** El acuerdo de ZDR se renueva mensualmente. El acuerdo actual es válido hasta el 31 de agosto de 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -58,70 +58,69 @@ Se te cobra por solicitud y puedes agregar créditos a tu cuenta.
|
||||
|
||||
También puedes acceder a nuestros modelos a través de los siguientes endpoints de API.
|
||||
|
||||
| Modelo | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Modelo | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
El [identificador del modelo](/docs/config/#models) en tu configuración de OpenCode
|
||||
usa el formato `opencode/<model-id>`. Por ejemplo, para GPT 5.5, usarías
|
||||
@@ -146,11 +145,12 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Modelo | Entrada | Salida | Lectura en caché | Escritura en caché |
|
||||
| --------------------------------- | ------- | ------- | ---------------- | ------------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -165,10 +165,8 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -180,7 +178,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -192,7 +189,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -219,8 +215,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Las horas Peak son 01:00-04:00 y 06:00-10:00 UTC; todas las demás horas son Off-Peak. [Más información](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Puede que notes [modelos de bajo costo](/docs/config/#models), como Haiku, Nano o Flash, en tu historial de uso. OpenCode usa estos modelos para generar títulos de sesiones.
|
||||
|
||||
:::note
|
||||
@@ -229,12 +223,13 @@ Las comisiones de tarjeta de crédito se trasladan al costo (4.4% + $0.30 por tr
|
||||
|
||||
Los modelos gratuitos:
|
||||
|
||||
- DeepSeek V4 Flash Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- MiMo-V2.5 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Hy3 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Laguna S 2.1 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Nemotron 3 Ultra Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Nemotron 3.5 Lightning Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Big Pickle es un modelo stealth que es gratuito en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Muse Spark 1.2 Contributor Free está disponible en OpenCode por tiempo limitado. El equipo está aprovechando este período para recopilar comentarios y mejorar el modelo.
|
||||
|
||||
<a href={email}>Contáctanos</a> si tienes alguna pregunta.
|
||||
|
||||
@@ -289,13 +284,14 @@ cobrándote más de $20 si tu saldo baja de $5.
|
||||
Todos nuestros modelos están alojados en US. Nuestros proveedores siguen una política de zero-retention y no usan tus datos para el entrenamiento de modelos, con las siguientes excepciones:
|
||||
|
||||
- Big Pickle: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- DeepSeek V4 Flash Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- MiMo-V2.5 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Hy3 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Laguna S 2.1 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Nemotron 3 Ultra Free (endpoints gratuitos de NVIDIA): Solo para uso de prueba — no envíes datos personales ni confidenciales. Tu uso se registra con fines de seguridad y para mejorar los productos y servicios de NVIDIA. Los datos de sesión registrados con fines de mejora no están vinculados a tu identidad ni a ningún identificador persistente. Para obtener más información sobre nuestras prácticas de procesamiento de datos, consulta nuestra [Política de privacidad](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Al interactuar con este endpoint, aceptas que recopilemos, registremos y usemos dicha información, así como los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (endpoints gratuitos de NVIDIA): Solo para uso de prueba — no envíes datos personales ni confidenciales. Tu uso se registra con fines de seguridad y para mejorar los productos y servicios de NVIDIA. Los datos de sesión registrados con fines de mejora no están vinculados a tu identidad ni a ningún identificador persistente. Para obtener más información sobre nuestras prácticas de procesamiento de datos, consulta nuestra [Política de privacidad](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Al interactuar con este endpoint, aceptas que recopilemos, registremos y usemos dicha información, así como los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Las solicitudes se conservan durante 30 días de acuerdo con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: Las solicitudes se conservan durante 30 días de acuerdo con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
- Muse Spark 1.2 Contributor Free: Tarifas de tokens con grandes descuentos a cambio de permiso para usar tus prompts y respuestas para entrenar futuros modelos de Meta. [Más información](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -50,7 +50,6 @@ Un seul membre par espace de travail peut s'abonner à OpenCode Go.
|
||||
La liste actuelle des modèles comprend :
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -61,7 +60,6 @@ La liste actuelle des modèles comprend :
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -82,45 +80,42 @@ OpenCode Go inclut les limites suivantes :
|
||||
- **Limite hebdomadaire** — 30 $ d'utilisation
|
||||
- **Limite mensuelle** — 60 $ d'utilisation
|
||||
|
||||
Les limites sont définies en valeur monétaire (dollars). Cela signifie que votre nombre réel de requêtes dépend du modèle que vous utilisez. Les modèles moins chers comme MiMo-V2.5 permettent plus de requêtes, tandis que les modèles plus coûteux comme GLM-5.2 en permettent moins.
|
||||
Les limites sont définies en valeur monétaire (dollars). Cela signifie que votre nombre réel de requêtes dépend du modèle que vous utilisez. Les modèles moins chers comme DeepSeek V4 Flash permettent plus de requêtes, tandis que les modèles plus coûteux comme GLM-5.2 en permettent moins.
|
||||
|
||||
Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur des modèles d'utilisation typiques de Go :
|
||||
|
||||
| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
|
||||
| -------------------------- | --------------------- | -------------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
|
||||
| ----------------- | --------------------- | -------------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Les estimations sont basées sur les schémas de requêtes observés :
|
||||
|
||||
- Grok 4.5 — 1,100 tokens en entrée, 71,500 en cache, 220 tokens en sortie par requête
|
||||
- GLM-5.3/5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
|
||||
- GLM-5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
|
||||
- GPT 5.6 Luna — 1,000 tokens en entrée, 50,000 en cache, 220 tokens en sortie par requête
|
||||
- Kimi K3 — 1,050 tokens en entrée, 76,500 en cache, 300 tokens en sortie par requête
|
||||
- Kimi K2.7/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
|
||||
- DeepSeek V4 Pro — 750 tokens en entrée, 82,000 en cache, 290 tokens en sortie par requête
|
||||
- DeepSeek V4 Flash — 410 tokens en entrée, 71,300 en cache, 310 tokens en sortie par requête
|
||||
- DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
|
||||
- MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
|
||||
- MiniMax M2.7 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
|
||||
- Muse Spark 1.2 Contributor — 620 tokens en entrée, 71,400 en cache, 300 tokens en sortie par requête
|
||||
- Qwen3.8 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
|
||||
- Qwen3.7 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
|
||||
- Qwen3.7 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
|
||||
@@ -136,7 +131,6 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -147,21 +141,16 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Les heures Peak sont 01:00-04:00 et 06:00-10:00 UTC ; toutes les autres heures sont Off-Peak. [En savoir plus](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Vous pouvez suivre votre utilisation actuelle dans la **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -194,29 +183,27 @@ Pour ces modèles, vous obtenez tout de même un peu plus que si vous payiez dir
|
||||
|
||||
Vous pouvez également accéder aux modèles Go via les points de terminaison d'API suivants.
|
||||
|
||||
| Modèle | ID de modèle | Point de terminaison | Package AI SDK |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Modèle | ID de modèle | Point de terminaison | Package AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K3, vous utiliseriez `opencode-go/kimi-k3` dans votre configuration.
|
||||
|
||||
@@ -234,32 +221,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## Confidentialité
|
||||
|
||||
| Modèle | Entraînement des modèles | Conservation des données |
|
||||
| -------------------------- | ------------------------ | ------------------------ |
|
||||
| Grok 4.5 | Non utilisé | 30 jours |
|
||||
| GPT 5.6 Luna | Non utilisé | 30 jours |
|
||||
| GLM-5.3 | Non utilisé | 0 jour |
|
||||
| GLM-5.2 | Non utilisé | 0 jour |
|
||||
| GLM-5.1 | Non utilisé | 0 jour |
|
||||
| Kimi K3 | Non utilisé | 0 jour |
|
||||
| Kimi K2.7 Code | Non utilisé | 0 jour |
|
||||
| Kimi K2.6 | Non utilisé | 0 jour |
|
||||
| MiMo-V2.5-Pro | Non utilisé | 0 jour |
|
||||
| MiMo-V2.5 | Non utilisé | 0 jour |
|
||||
| Qwen3.8 Max | Non utilisé | 0 jour |
|
||||
| Qwen3.7 Max | Non utilisé | 0 jour |
|
||||
| Qwen3.7 Plus | Non utilisé | 0 jour |
|
||||
| Qwen3.6 Plus | Non utilisé | 0 jour |
|
||||
| MiniMax M3 | Non utilisé | 0 jour |
|
||||
| MiniMax M2.7 | Non utilisé | 0 jour |
|
||||
| Muse Spark 1.2 Contributor | Oui | Pas de ZDR |
|
||||
| DeepSeek V4 Pro | Non utilisé | 0 jour |
|
||||
| DeepSeek V4 Flash | Non utilisé | 0 jour |
|
||||
| Hy3 | Non utilisé | 0 jour |
|
||||
| Modèle | Entraînement des modèles | Conservation des données |
|
||||
| ----------------- | ------------------------ | ------------------------ |
|
||||
| Grok 4.5 | Non utilisé | 30 jours |
|
||||
| GPT 5.6 Luna | Non utilisé | 30 jours |
|
||||
| GLM-5.2 | Non utilisé | 0 jour |
|
||||
| GLM-5.1 | Non utilisé | 0 jour |
|
||||
| Kimi K3 | Non utilisé | 0 jour |
|
||||
| Kimi K2.7 Code | Non utilisé | 0 jour |
|
||||
| Kimi K2.6 | Non utilisé | 0 jour |
|
||||
| MiMo-V2.5-Pro | Non utilisé | 0 jour |
|
||||
| MiMo-V2.5 | Non utilisé | 0 jour |
|
||||
| Qwen3.8 Max | Non utilisé | 0 jour |
|
||||
| Qwen3.7 Max | Non utilisé | 0 jour |
|
||||
| Qwen3.7 Plus | Non utilisé | 0 jour |
|
||||
| Qwen3.6 Plus | Non utilisé | 0 jour |
|
||||
| MiniMax M3 | Non utilisé | 0 jour |
|
||||
| MiniMax M2.7 | Non utilisé | 0 jour |
|
||||
| DeepSeek V4 Pro | Non utilisé | 0 jour |
|
||||
| DeepSeek V4 Flash | Non utilisé | 0 jour |
|
||||
| Hy3 | Non utilisé | 0 jour |
|
||||
|
||||
- **Grok 4.5:** Le ZDR désactive d’importantes fonctionnalités API qui dépendent des données stockées, notamment Responses API avec état, Files and Collections et Batch API. [En savoir plus](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** Des journaux de surveillance des abus sont générés pour toute utilisation des fonctionnalités API et conservés pendant un maximum de 30 jours. [En savoir plus](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** Des tarifs de tokens fortement réduits en échange de l’autorisation d’utiliser vos prompts et vos complétions pour entraîner de futurs modèles Meta. [En savoir plus](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** L’accord ZDR est renouvelé chaque mois. L’accord actuel est valable jusqu’au 31 août 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -49,70 +49,69 @@ La facturation se fait à la requête et vous pouvez ajouter des crédits à vot
|
||||
|
||||
Vous pouvez également accéder à nos modèles via les points de terminaison API suivants.
|
||||
|
||||
| Modèle | ID du modèle | Point de terminaison | Package AI SDK |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Modèle | ID du modèle | Point de terminaison | Package AI SDK |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/<model-id>`. Par exemple, pour GPT 5.5, vous utiliseriez `opencode/gpt-5.5` dans votre configuration.
|
||||
|
||||
@@ -135,11 +134,12 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Modèle | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -154,10 +154,8 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -169,7 +167,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -181,7 +178,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -208,8 +204,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Les heures Peak sont 01:00-04:00 et 06:00-10:00 UTC ; toutes les autres heures sont Off-Peak. [En savoir plus](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Vous remarquerez peut-être des [modèles à faible coût](/docs/config/#models), tels que Haiku, Nano ou Flash, dans votre historique d'utilisation. OpenCode utilise ces modèles pour générer les titres des sessions.
|
||||
|
||||
:::note
|
||||
@@ -218,12 +212,13 @@ Les frais de carte de crédit sont répercutés au prix coûtant (4.4% + $0.30 p
|
||||
|
||||
Les modèles gratuits :
|
||||
|
||||
- DeepSeek V4 Flash Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- MiMo-V2.5 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Hy3 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Laguna S 2.1 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Nemotron 3 Ultra Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Nemotron 3.5 Lightning Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Big Pickle est un modèle stealth gratuit sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Muse Spark 1.2 Contributor Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
|
||||
<a href={email}>Contactez-nous</a> si vous avez des questions.
|
||||
|
||||
@@ -275,13 +270,14 @@ Par exemple, si vous définissez une limite d'utilisation mensuelle à $20, Zen
|
||||
Tous nos modèles sont hébergés aux US. Nos fournisseurs suivent une politique de rétention zéro et n'utilisent pas vos données pour l'entraînement des modèles, avec les exceptions suivantes :
|
||||
|
||||
- Big Pickle : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- DeepSeek V4 Flash Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- MiMo-V2.5 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Hy3 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Laguna S 2.1 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Nemotron 3 Ultra Free (endpoints NVIDIA gratuits) : Réservé à un usage d'essai — n'envoyez pas de données personnelles ou confidentielles. Votre utilisation est journalisée à des fins de sécurité et pour améliorer les produits et services de NVIDIA. Les données de session journalisées à des fins d'amélioration ne sont pas liées à votre identité ni à un quelconque identifiant persistant. Pour plus d'informations sur nos pratiques de traitement des données, consultez notre [Politique de confidentialité](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). En interagissant avec cet endpoint, vous consentez à notre collecte, à notre enregistrement et à notre utilisation de ces informations ainsi qu'aux [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (endpoints NVIDIA gratuits) : Réservé à un usage d'essai — n'envoyez pas de données personnelles ou confidentielles. Votre utilisation est journalisée à des fins de sécurité et pour améliorer les produits et services de NVIDIA. Les données de session journalisées à des fins d'amélioration ne sont pas liées à votre identité ni à un quelconque identifiant persistant. Pour plus d'informations sur nos pratiques de traitement des données, consultez notre [Politique de confidentialité](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). En interagissant avec cet endpoint, vous consentez à notre collecte, à notre enregistrement et à notre utilisation de ces informations ainsi qu'aux [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs : Les requêtes sont conservées pendant 30 jours conformément à [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs : Les requêtes sont conservées pendant 30 jours conformément à [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
- Muse Spark 1.2 Contributor Free : Tarification des tokens fortement réduite en échange de l'autorisation d'utiliser vos prompts et complétions pour entraîner les futurs modèles Meta. [En savoir plus](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -60,7 +60,6 @@ Only one member per workspace can subscribe to OpenCode Go.
|
||||
The current list of models includes:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -71,7 +70,6 @@ The current list of models includes:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -92,45 +90,42 @@ OpenCode Go includes the following limits:
|
||||
- **Weekly limit** — $30 of usage
|
||||
- **Monthly limit** — $60 of usage
|
||||
|
||||
Limits are defined in dollar value. This means your actual request count depends on the model you use. Cheaper models like MiMo-V2.5 allow for more requests, while higher-cost models like GLM-5.2 allow for fewer.
|
||||
Limits are defined in dollar value. This means your actual request count depends on the model you use. Cheaper models like DeepSeek V4 Flash allow for more requests, while higher-cost models like GLM-5.2 allow for fewer.
|
||||
|
||||
The table below provides an estimated request count based on typical Go usage patterns:
|
||||
|
||||
| Model | requests per 5 hour | requests per week | requests per month |
|
||||
| -------------------------- | ------------------- | ----------------- | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | requests per 5 hour | requests per week | requests per month |
|
||||
| ----------------- | ------------------- | ----------------- | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
The estimates are based on observed request patterns:
|
||||
|
||||
- Grok 4.5 — 1,100 input, 71,500 cached, 220 output tokens per request
|
||||
- GLM-5.3/5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
|
||||
- GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
|
||||
- GPT 5.6 Luna — 1,000 input, 50,000 cached, 220 output tokens per request
|
||||
- Kimi K3 — 1,050 input, 76,500 cached, 300 output tokens per request
|
||||
- Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
|
||||
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
|
||||
- DeepSeek V4 Flash — 410 input, 71,300 cached, 310 output tokens per request
|
||||
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
|
||||
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
|
||||
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
|
||||
- Muse Spark 1.2 Contributor — 620 input, 71,400 cached, 300 output tokens per request
|
||||
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
|
||||
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
|
||||
- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens per request
|
||||
@@ -146,7 +141,6 @@ The estimates are also based on the following prices per 1M tokens and the month
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -157,21 +151,16 @@ The estimates are also based on the following prices per 1M tokens and the month
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak hours are 01:00-04:00 and 06:00-10:00 UTC; all other hours are Off-Peak. [Learn more](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
You can track your current usage in the **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,29 +195,27 @@ For these models, you still get a little more than if you paid the model provide
|
||||
|
||||
You can also access Go models through the following API endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
The [model id](/docs/config/#models) in your OpenCode config
|
||||
uses the format `opencode-go/<model-id>`. For example, for Kimi K3, you would
|
||||
@@ -248,32 +235,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## Privacy
|
||||
|
||||
| Model | Model training | Data retention |
|
||||
| -------------------------- | -------------- | -------------- |
|
||||
| Grok 4.5 | Not used | 30 days |
|
||||
| GPT 5.6 Luna | Not used | 30 days |
|
||||
| GLM-5.3 | Not used | 0 days |
|
||||
| GLM-5.2 | Not used | 0 days |
|
||||
| GLM-5.1 | Not used | 0 days |
|
||||
| Kimi K3 | Not used | 0 days |
|
||||
| Kimi K2.7 Code | Not used | 0 days |
|
||||
| Kimi K2.6 | Not used | 0 days |
|
||||
| MiMo-V2.5-Pro | Not used | 0 days |
|
||||
| MiMo-V2.5 | Not used | 0 days |
|
||||
| Qwen3.8 Max | Not used | 0 days |
|
||||
| Qwen3.7 Max | Not used | 0 days |
|
||||
| Qwen3.7 Plus | Not used | 0 days |
|
||||
| Qwen3.6 Plus | Not used | 0 days |
|
||||
| MiniMax M3 | Not used | 0 days |
|
||||
| MiniMax M2.7 | Not used | 0 days |
|
||||
| Muse Spark 1.2 Contributor | Yes | Not ZDR |
|
||||
| DeepSeek V4 Pro | Not used | 0 days\* |
|
||||
| DeepSeek V4 Flash | Not used | 0 days\* |
|
||||
| Hy3 | Not used | 0 days |
|
||||
| Model | Model training | Data retention |
|
||||
| ----------------- | -------------- | -------------- |
|
||||
| Grok 4.5 | Not used | 30 days |
|
||||
| GPT 5.6 Luna | Not used | 30 days |
|
||||
| GLM-5.2 | Not used | 0 days |
|
||||
| GLM-5.1 | Not used | 0 days |
|
||||
| Kimi K3 | Not used | 0 days |
|
||||
| Kimi K2.7 Code | Not used | 0 days |
|
||||
| Kimi K2.6 | Not used | 0 days |
|
||||
| MiMo-V2.5-Pro | Not used | 0 days |
|
||||
| MiMo-V2.5 | Not used | 0 days |
|
||||
| Qwen3.8 Max | Not used | 0 days |
|
||||
| Qwen3.7 Max | Not used | 0 days |
|
||||
| Qwen3.7 Plus | Not used | 0 days |
|
||||
| Qwen3.6 Plus | Not used | 0 days |
|
||||
| MiniMax M3 | Not used | 0 days |
|
||||
| MiniMax M2.7 | Not used | 0 days |
|
||||
| DeepSeek V4 Pro | Not used | 0 days\* |
|
||||
| DeepSeek V4 Flash | Not used | 0 days\* |
|
||||
| Hy3 | Not used | 0 days |
|
||||
|
||||
- **Grok 4.5:** ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API. [Learn more](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days. [Learn more](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** Heavily discounted token pricing in exchange for permission to use your prompts and completions to train future Meta models. [Learn more](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek:** ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -58,7 +58,6 @@ Solo un membro per workspace può abbonarsi a OpenCode Go.
|
||||
L'elenco attuale dei modelli include:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -69,7 +68,6 @@ L'elenco attuale dei modelli include:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -90,45 +88,42 @@ OpenCode Go include i seguenti limiti:
|
||||
- **Limite settimanale** — 30 $ di utilizzo
|
||||
- **Limite mensile** — 60 $ di utilizzo
|
||||
|
||||
I limiti sono definiti in valore in dollari. Questo significa che il conteggio effettivo delle richieste dipende dal modello utilizzato. Modelli più economici come MiMo-V2.5 consentono più richieste, mentre modelli più costosi come GLM-5.2 ne consentono di meno.
|
||||
I limiti sono definiti in valore in dollari. Questo significa che il conteggio effettivo delle richieste dipende dal modello utilizzato. Modelli più economici come DeepSeek V4 Flash consentono più richieste, mentre modelli più costosi come GLM-5.2 ne consentono di meno.
|
||||
|
||||
La tabella seguente fornisce una stima del conteggio delle richieste in base a pattern di utilizzo tipici di Go:
|
||||
|
||||
| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
|
||||
| -------------------------- | -------------------- | --------------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
|
||||
| ----------------- | -------------------- | --------------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Le stime si basano sui pattern di richieste osservati:
|
||||
|
||||
- Grok 4.5 — 1.100 di input, 71.500 in cache, 220 token di output per richiesta
|
||||
- GLM-5.3/5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
|
||||
- GLM-5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
|
||||
- GPT 5.6 Luna — 1.000 token di input, 50.000 in cache, 220 token di output per richiesta
|
||||
- Kimi K3 — 1.050 di input, 76.500 in cache, 300 token di output per richiesta
|
||||
- Kimi K2.7/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
|
||||
- DeepSeek V4 Pro — 750 di input, 82.000 in cache, 290 token di output per richiesta
|
||||
- DeepSeek V4 Flash — 410 di input, 71.300 in cache, 310 token di output per richiesta
|
||||
- DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
|
||||
- MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
|
||||
- MiniMax M2.7 — 300 di input, 55.000 in cache, 125 token di output per richiesta
|
||||
- Muse Spark 1.2 Contributor — 620 di input, 71.400 in cache, 300 token di output per richiesta
|
||||
- Qwen3.8 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
|
||||
- Qwen3.7 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
|
||||
- Qwen3.7 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
|
||||
@@ -144,7 +139,6 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -155,21 +149,16 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Gli orari Peak sono 01:00-04:00 e 06:00-10:00 UTC; tutti gli altri orari sono Off-Peak. [Scopri di più](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Puoi monitorare il tuo utilizzo attuale nella **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -204,29 +193,27 @@ Per questi modelli, ottieni comunque un po' più di utilizzo rispetto a quanto o
|
||||
|
||||
Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
|
||||
|
||||
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Il [model id](/docs/config/#models) nella tua OpenCode config
|
||||
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K3, useresti
|
||||
@@ -246,32 +233,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## Privacy
|
||||
|
||||
| Modello | Addestramento del modello | Conservazione dei dati |
|
||||
| -------------------------- | ------------------------- | ---------------------- |
|
||||
| Grok 4.5 | Non utilizzato | 30 giorni |
|
||||
| GPT 5.6 Luna | Non utilizzato | 30 giorni |
|
||||
| GLM-5.3 | Non utilizzato | 0 giorni |
|
||||
| GLM-5.2 | Non utilizzato | 0 giorni |
|
||||
| GLM-5.1 | Non utilizzato | 0 giorni |
|
||||
| Kimi K3 | Non utilizzato | 0 giorni |
|
||||
| Kimi K2.7 Code | Non utilizzato | 0 giorni |
|
||||
| Kimi K2.6 | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.5-Pro | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.5 | Non utilizzato | 0 giorni |
|
||||
| Qwen3.8 Max | Non utilizzato | 0 giorni |
|
||||
| Qwen3.7 Max | Non utilizzato | 0 giorni |
|
||||
| Qwen3.7 Plus | Non utilizzato | 0 giorni |
|
||||
| Qwen3.6 Plus | Non utilizzato | 0 giorni |
|
||||
| MiniMax M3 | Non utilizzato | 0 giorni |
|
||||
| MiniMax M2.7 | Non utilizzato | 0 giorni |
|
||||
| Muse Spark 1.2 Contributor | Sì | Non ZDR |
|
||||
| DeepSeek V4 Pro | Non utilizzato | 0 giorni |
|
||||
| DeepSeek V4 Flash | Non utilizzato | 0 giorni |
|
||||
| Hy3 | Non utilizzato | 0 giorni |
|
||||
| Modello | Addestramento del modello | Conservazione dei dati |
|
||||
| ----------------- | ------------------------- | ---------------------- |
|
||||
| Grok 4.5 | Non utilizzato | 30 giorni |
|
||||
| GPT 5.6 Luna | Non utilizzato | 30 giorni |
|
||||
| GLM-5.2 | Non utilizzato | 0 giorni |
|
||||
| GLM-5.1 | Non utilizzato | 0 giorni |
|
||||
| Kimi K3 | Non utilizzato | 0 giorni |
|
||||
| Kimi K2.7 Code | Non utilizzato | 0 giorni |
|
||||
| Kimi K2.6 | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.5-Pro | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.5 | Non utilizzato | 0 giorni |
|
||||
| Qwen3.8 Max | Non utilizzato | 0 giorni |
|
||||
| Qwen3.7 Max | Non utilizzato | 0 giorni |
|
||||
| Qwen3.7 Plus | Non utilizzato | 0 giorni |
|
||||
| Qwen3.6 Plus | Non utilizzato | 0 giorni |
|
||||
| MiniMax M3 | Non utilizzato | 0 giorni |
|
||||
| MiniMax M2.7 | Non utilizzato | 0 giorni |
|
||||
| DeepSeek V4 Pro | Non utilizzato | 0 giorni |
|
||||
| DeepSeek V4 Flash | Non utilizzato | 0 giorni |
|
||||
| Hy3 | Non utilizzato | 0 giorni |
|
||||
|
||||
- **Grok 4.5:** ZDR disabilita importanti funzionalità API che dipendono dai dati archiviati, tra cui la Responses API con stato, Files and Collections e Batch API. [Scopri di più](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** I log di monitoraggio degli abusi vengono generati per l'utilizzo di tutte le funzionalità API e conservati per un massimo di 30 giorni. [Scopri di più](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** Prezzi dei token fortemente scontati in cambio dell'autorizzazione a utilizzare i tuoi prompt e completamenti per addestrare futuri modelli Meta. [Scopri di più](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** L'accordo ZDR viene rinnovato mensilmente. L'accordo attuale è valido fino al 31 agosto 2026.
|
||||
|
||||
---
|
||||
|
||||
@@ -58,70 +58,69 @@ Ti viene addebitato ogni richiesta e puoi aggiungere credito al tuo account.
|
||||
|
||||
Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
|
||||
| Modello | Model ID | Endpoint | Pacchetto AI SDK |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Modello | Model ID | Endpoint | Pacchetto AI SDK |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Il [model id](/docs/config/#models) nella config di OpenCode
|
||||
usa il formato `opencode/<model-id>`. Per esempio, per GPT 5.5, useresti
|
||||
@@ -146,11 +145,12 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Modello | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -165,10 +165,8 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -180,7 +178,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -192,7 +189,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -219,8 +215,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Gli orari Peak sono 01:00-04:00 e 06:00-10:00 UTC; tutti gli altri orari sono Off-Peak. [Scopri di più](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Potresti notare [modelli a basso costo](/docs/config/#models), come Haiku, Nano o Flash, nella cronologia di utilizzo. OpenCode usa questi modelli per generare i titoli delle sessioni.
|
||||
|
||||
:::note
|
||||
@@ -229,12 +223,13 @@ Le commissioni della carta di credito vengono trasferite al costo (4.4% + $0.30
|
||||
|
||||
I modelli gratuiti:
|
||||
|
||||
- DeepSeek V4 Flash Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- MiMo-V2.5 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Hy3 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Laguna S 2.1 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Nemotron 3 Ultra Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Nemotron 3.5 Lightning Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Big Pickle è un modello stealth che è gratuito su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Muse Spark 1.2 Contributor Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
|
||||
<a href={email}>Contattaci</a> se hai domande.
|
||||
|
||||
@@ -289,13 +284,14 @@ per addebitarti più di $20 se il tuo saldo scende sotto $5.
|
||||
Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una policy di zero-retention e non usano i tuoi dati per l'addestramento dei modelli, con le seguenti eccezioni:
|
||||
|
||||
- Big Pickle: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- DeepSeek V4 Flash Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- MiMo-V2.5 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Hy3 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Laguna S 2.1 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Nemotron 3 Ultra Free (endpoint NVIDIA gratuiti): solo per uso di prova — non inviare dati personali o riservati. Il tuo utilizzo viene registrato per finalità di sicurezza e per migliorare i prodotti e i servizi di NVIDIA. I dati di sessione registrati a fini di miglioramento non sono collegati alla tua identità né ad alcun identificatore persistente. Per maggiori informazioni sulle nostre pratiche di trattamento dei dati, consulta la nostra [Informativa sulla privacy](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interagendo con questo endpoint, acconsenti alla nostra raccolta, registrazione e utilizzo di tali informazioni e ai [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (endpoint NVIDIA gratuiti): solo per uso di prova — non inviare dati personali o riservati. Il tuo utilizzo viene registrato per finalità di sicurezza e per migliorare i prodotti e i servizi di NVIDIA. I dati di sessione registrati a fini di miglioramento non sono collegati alla tua identità né ad alcun identificatore persistente. Per maggiori informazioni sulle nostre pratiche di trattamento dei dati, consulta la nostra [Informativa sulla privacy](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interagendo con questo endpoint, acconsenti alla nostra raccolta, registrazione e utilizzo di tali informazioni e ai [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: le richieste vengono conservate per 30 giorni in conformità con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: le richieste vengono conservate per 30 giorni in conformità con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
- Muse Spark 1.2 Contributor Free: prezzi dei token fortemente scontati in cambio dell'autorizzazione a utilizzare i tuoi prompt e completamenti per addestrare i futuri modelli Meta. [Scopri di più](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -50,7 +50,6 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
|
||||
現在のモデルリストには以下が含まれます：
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -61,7 +60,6 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -82,45 +80,42 @@ OpenCode Goには以下の制限が含まれています：
|
||||
- **週間の制限** — 30ドル分の利用
|
||||
- **月間の制限** — 60ドル分の利用
|
||||
|
||||
制限はドル単位で定義されています。つまり、実際のリクエスト数は使用するモデルによって異なります。MiMo-V2.5のような安価なモデルではより多くのリクエストが可能ですが、GLM-5.2のような高コストのモデルではリクエスト数が少なくなります。
|
||||
制限はドル単位で定義されています。つまり、実際のリクエスト数は使用するモデルによって異なります。DeepSeek V4 Flashのような安価なモデルではより多くのリクエストが可能ですが、GLM-5.2のような高コストのモデルではリクエスト数が少なくなります。
|
||||
|
||||
以下の表は、一般的なGoの利用パターンに基づいた推定リクエスト数を示しています：
|
||||
|
||||
| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
|
||||
| -------------------------- | ------------------------- | ---------------- | ---------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
|
||||
| ----------------- | ------------------------- | ---------------- | ---------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
推定値は、観測されたリクエストパターンに基づいています：
|
||||
|
||||
- Grok 4.5 — リクエストあたり 入力 1,100トークン、キャッシュ 71,500トークン、出力 220トークン
|
||||
- GLM-5.3/5.2/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
|
||||
- GLM-5.2/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
|
||||
- GPT 5.6 Luna — リクエストあたり 入力 1,000トークン、キャッシュ 50,000トークン、出力 220トークン
|
||||
- Kimi K3 — リクエストあたり 入力 1,050トークン、キャッシュ 76,500トークン、出力 300トークン
|
||||
- Kimi K2.7/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
|
||||
- DeepSeek V4 Pro — リクエストあたり 入力 750トークン、キャッシュ 82,000トークン、出力 290トークン
|
||||
- DeepSeek V4 Flash — リクエストあたり 入力 410トークン、キャッシュ 71,300トークン、出力 310トークン
|
||||
- DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
|
||||
- MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
|
||||
- MiniMax M2.7 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
|
||||
- Muse Spark 1.2 Contributor — リクエストあたり 入力 620トークン、キャッシュ 71,400トークン、出力 300トークン
|
||||
- Qwen3.8 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
|
||||
- Qwen3.7 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
|
||||
- Qwen3.7 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
|
||||
@@ -136,7 +131,6 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -147,21 +141,16 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak時間は01:00-04:00と06:00-10:00 UTCで、それ以外の時間はすべてOff-Peakです。[詳しく見る](https://api-docs.deepseek.com/quick_start/pricing/)。
|
||||
|
||||
現在の利用状況は**<a href={console}>コンソール</a>**で追跡できます。
|
||||
|
||||
:::tip
|
||||
@@ -194,29 +183,27 @@ Goでは月額$10を支払い、その6倍の利用枠を提供することを
|
||||
|
||||
以下のAPIエンドポイントを通じて、Goモデルにアクセスすることもできます。
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
OpenCode設定の[model id](/docs/config/#models)は、`opencode-go/<model-id>`という形式を使用します。たとえば、Kimi K3の場合は、設定で`opencode-go/kimi-k3`を使用します。
|
||||
|
||||
@@ -234,32 +221,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## プライバシー
|
||||
|
||||
| モデル | モデルのトレーニング | データ保持 |
|
||||
| -------------------------- | -------------------- | ----------- |
|
||||
| Grok 4.5 | 使用なし | 30日 |
|
||||
| GPT 5.6 Luna | 使用なし | 30日 |
|
||||
| GLM-5.3 | 使用なし | 0日 |
|
||||
| GLM-5.2 | 使用なし | 0日 |
|
||||
| GLM-5.1 | 使用なし | 0日 |
|
||||
| Kimi K3 | 使用なし | 0日 |
|
||||
| Kimi K2.7 Code | 使用なし | 0日 |
|
||||
| Kimi K2.6 | 使用なし | 0日 |
|
||||
| MiMo-V2.5-Pro | 使用なし | 0日 |
|
||||
| MiMo-V2.5 | 使用なし | 0日 |
|
||||
| Qwen3.8 Max | 使用なし | 0日 |
|
||||
| Qwen3.7 Max | 使用なし | 0日 |
|
||||
| Qwen3.7 Plus | 使用なし | 0日 |
|
||||
| Qwen3.6 Plus | 使用なし | 0日 |
|
||||
| MiniMax M3 | 使用なし | 0日 |
|
||||
| MiniMax M2.7 | 使用なし | 0日 |
|
||||
| Muse Spark 1.2 Contributor | はい | ZDRではない |
|
||||
| DeepSeek V4 Pro | 使用なし | 0日 |
|
||||
| DeepSeek V4 Flash | 使用なし | 0日 |
|
||||
| Hy3 | 使用なし | 0日 |
|
||||
| モデル | モデルのトレーニング | データ保持 |
|
||||
| ----------------- | -------------------- | ---------- |
|
||||
| Grok 4.5 | 使用なし | 30日 |
|
||||
| GPT 5.6 Luna | 使用なし | 30日 |
|
||||
| GLM-5.2 | 使用なし | 0日 |
|
||||
| GLM-5.1 | 使用なし | 0日 |
|
||||
| Kimi K3 | 使用なし | 0日 |
|
||||
| Kimi K2.7 Code | 使用なし | 0日 |
|
||||
| Kimi K2.6 | 使用なし | 0日 |
|
||||
| MiMo-V2.5-Pro | 使用なし | 0日 |
|
||||
| MiMo-V2.5 | 使用なし | 0日 |
|
||||
| Qwen3.8 Max | 使用なし | 0日 |
|
||||
| Qwen3.7 Max | 使用なし | 0日 |
|
||||
| Qwen3.7 Plus | 使用なし | 0日 |
|
||||
| Qwen3.6 Plus | 使用なし | 0日 |
|
||||
| MiniMax M3 | 使用なし | 0日 |
|
||||
| MiniMax M2.7 | 使用なし | 0日 |
|
||||
| DeepSeek V4 Pro | 使用なし | 0日 |
|
||||
| DeepSeek V4 Flash | 使用なし | 0日 |
|
||||
| Hy3 | 使用なし | 0日 |
|
||||
|
||||
- **Grok 4.5:** ZDRでは、保存データに依存する重要なAPI機能（ステートフルなResponses API、Files and Collections、Batch APIなど）が無効になります。[詳しく見る](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr)。
|
||||
- **GPT 5.6 Luna:** 不正使用監視ログはすべてのAPI機能の使用時に生成され、最大30日間保持されます。[詳しく見る](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring)。
|
||||
- **Muse Spark 1.2 Contributor:** 将来のMetaモデルのトレーニングにプロンプトと生成結果を使用する許可と引き換えに、トークン料金が大幅に割引されます。[詳しく見る](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier)。
|
||||
- **DeepSeek V4 Flash:** ZDR契約は毎月更新されます。現在の契約は2026年8月31日まで有効です。
|
||||
|
||||
---
|
||||
|
||||
@@ -49,70 +49,69 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
|
||||
以下の API エンドポイントを通じて、私たちのモデルにアクセスすることもできます。
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/<model-id>` 形式です。たとえば、GPT 5.5 では設定に `opencode/gpt-5.5` を使用します。
|
||||
|
||||
@@ -135,11 +134,12 @@ https://opencode.ai/zen/v1/models
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -154,10 +154,8 @@ https://opencode.ai/zen/v1/models
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -169,7 +167,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -181,7 +178,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -208,8 +204,6 @@ https://opencode.ai/zen/v1/models
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak時間は01:00-04:00と06:00-10:00 UTCで、それ以外の時間はすべてOff-Peakです。[詳しく見る](https://api-docs.deepseek.com/quick_start/pricing/)。
|
||||
|
||||
使用履歴に Haiku、Nano、Flash などの[低コストモデル](/docs/config/#models)が表示されることがあります。OpenCode はこれらのモデルをセッションタイトルの生成に使用します。
|
||||
|
||||
:::note
|
||||
@@ -218,12 +212,13 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
無料モデル:
|
||||
|
||||
- DeepSeek V4 Flash Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- MiMo-V2.5 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Hy3 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Laguna S 2.1 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Nemotron 3 Ultra Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Nemotron 3.5 Lightning Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Big Pickle はステルスモデルで、期間限定で OpenCode で無料提供されています。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Muse Spark 1.2 Contributor Free は期間限定で OpenCode で利用できます。チームはこの期間を活用してフィードバックを収集し、モデルを改善しています。
|
||||
|
||||
ご不明な点があれば、<a href={email}>お問い合わせください</a>。
|
||||
|
||||
@@ -275,13 +270,14 @@ https://opencode.ai/zen/v1/models
|
||||
すべてのモデルは米国でホストされています。私たちのプロバイダーはゼロ保持ポリシーに従っており、以下の例外を除き、モデル学習にあなたのデータを使用しません。
|
||||
|
||||
- Big Pickle: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- DeepSeek V4 Flash Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- MiMo-V2.5 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Hy3 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Laguna S 2.1 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Nemotron 3 Ultra Free（NVIDIA の無料エンドポイント）: 試用専用です — 個人情報や機密データは送信しないでください。お客様の利用は、セキュリティ目的および NVIDIA の製品とサービスの改善のために記録されます。改善目的で記録されたセッションデータは、お客様の身元や永続的な識別子とは関連付けられません。当社のデータ処理慣行の詳細については、[プライバシーポリシー](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)をご覧ください。このエンドポイントを利用することで、お客様はそのような情報の当社による収集、記録、利用、および [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に同意したものとみなされます。
|
||||
- Nemotron 3.5 Lightning Free（NVIDIA の無料エンドポイント）: 試用専用です — 個人情報や機密データは送信しないでください。お客様の利用は、セキュリティ目的および NVIDIA の製品とサービスの改善のために記録されます。改善目的で記録されたセッションデータは、お客様の身元や永続的な識別子とは関連付けられません。当社のデータ処理慣行の詳細については、[プライバシーポリシー](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)をご覧ください。このエンドポイントを利用することで、お客様はそのような情報の当社による収集、記録、利用、および [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に同意したものとみなされます。
|
||||
- OpenAI APIs: リクエストは [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) に従って 30 日間保持されます。
|
||||
- Anthropic APIs: リクエストは [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) に従って 30 日間保持されます。
|
||||
- Muse Spark 1.2 Contributor Free: 将来の Meta モデルのトレーニングにプロンプトと生成結果を使用する許可と引き換えに、トークン料金が大幅に割引されます。[詳しく見る](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier)。
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -50,7 +50,6 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
|
||||
현재 모델 목록에는 다음이 포함됩니다.
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -61,7 +60,6 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Muse Spark 1.2 Contributor**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
@@ -82,45 +80,42 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
- **주간 한도** — 사용량 $30
|
||||
- **월간 한도** — 사용량 $60
|
||||
|
||||
한도는 달러 금액 기준으로 정의됩니다. 즉, 실제 요청 횟수는 사용하는 모델에 따라 달라집니다. MiMo-V2.5처럼 저렴한 모델은 더 많은 요청이 가능하고, GLM-5.2처럼 비용이 더 높은 모델은 더 적은 요청이 가능합니다.
|
||||
한도는 달러 금액 기준으로 정의됩니다. 즉, 실제 요청 횟수는 사용하는 모델에 따라 달라집니다. DeepSeek V4 Flash처럼 저렴한 모델은 더 많은 요청이 가능하고, GLM-5.2처럼 비용이 더 높은 모델은 더 적은 요청이 가능합니다.
|
||||
|
||||
아래 표는 일반적인 Go 사용 패턴을 기준으로 한 예상 요청 횟수를 보여줍니다.
|
||||
|
||||
| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
|
||||
| -------------------------- | ----------------- | -------------- | -------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
|
||||
| ----------------- | ----------------- | -------------- | -------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
이 예상치는 관찰된 요청 패턴을 기준으로 합니다.
|
||||
|
||||
- Grok 4.5 — 요청당 입력 1,100, 캐시 71,500, 출력 토큰 220
|
||||
- GLM-5.3/5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
|
||||
- GLM-5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
|
||||
- GPT 5.6 Luna — 요청당 입력 토큰 1,000개, 캐시 토큰 50,000개, 출력 토큰 220개
|
||||
- Kimi K3 — 요청당 입력 1,050, 캐시 76,500, 출력 토큰 300
|
||||
- Kimi K2.7/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
|
||||
- DeepSeek V4 Pro — 요청당 입력 750, 캐시 82,000, 출력 토큰 290
|
||||
- DeepSeek V4 Flash — 요청당 입력 410, 캐시 71,300, 출력 토큰 310
|
||||
- DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
|
||||
- MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
|
||||
- MiniMax M2.7 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
|
||||
- Muse Spark 1.2 Contributor — 요청당 입력 620, 캐시 71,400, 출력 토큰 300
|
||||
- Qwen3.8 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
|
||||
- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
|
||||
- Qwen3.7 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
|
||||
@@ -136,7 +131,6 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -147,21 +141,16 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak 시간은 01:00-04:00 및 06:00-10:00 UTC이며, 그 외 모든 시간은 Off-Peak입니다. [자세히 알아보기](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
현재 사용량은 **<a href={console}>console</a>**에서 확인할 수 있습니다.
|
||||
|
||||
:::tip
|
||||
@@ -194,29 +183,27 @@ Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공
|
||||
|
||||
다음 API 엔드포인트를 통해서도 Go 모델에 액세스할 수 있습니다.
|
||||
|
||||
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
|
||||
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K3의 경우 config에서 `opencode-go/kimi-k3`를 사용하면 됩니다.
|
||||
|
||||
@@ -234,32 +221,29 @@ https://opencode.ai/zen/go/v1/models
|
||||
|
||||
## 개인정보 보호
|
||||
|
||||
| 모델 | 모델 학습 | 데이터 보존 |
|
||||
| -------------------------- | ------------- | ----------- |
|
||||
| Grok 4.5 | 사용되지 않음 | 30일 |
|
||||
| GPT 5.6 Luna | 사용되지 않음 | 30일 |
|
||||
| GLM-5.3 | 사용되지 않음 | 0일 |
|
||||
| GLM-5.2 | 사용되지 않음 | 0일 |
|
||||
| GLM-5.1 | 사용되지 않음 | 0일 |
|
||||
| Kimi K3 | 사용되지 않음 | 0일 |
|
||||
| Kimi K2.7 Code | 사용되지 않음 | 0일 |
|
||||
| Kimi K2.6 | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5-Pro | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5 | 사용되지 않음 | 0일 |
|
||||
| Qwen3.8 Max | 사용되지 않음 | 0일 |
|
||||
| Qwen3.7 Max | 사용되지 않음 | 0일 |
|
||||
| Qwen3.7 Plus | 사용되지 않음 | 0일 |
|
||||
| Qwen3.6 Plus | 사용되지 않음 | 0일 |
|
||||
| MiniMax M3 | 사용되지 않음 | 0일 |
|
||||
| MiniMax M2.7 | 사용되지 않음 | 0일 |
|
||||
| Muse Spark 1.2 Contributor | 예 | ZDR 아님 |
|
||||
| DeepSeek V4 Pro | 사용되지 않음 | 0일 |
|
||||
| DeepSeek V4 Flash | 사용되지 않음 | 0일 |
|
||||
| Hy3 | 사용되지 않음 | 0일 |
|
||||
| 모델 | 모델 학습 | 데이터 보존 |
|
||||
| ----------------- | ------------- | ----------- |
|
||||
| Grok 4.5 | 사용되지 않음 | 30일 |
|
||||
| GPT 5.6 Luna | 사용되지 않음 | 30일 |
|
||||
| GLM-5.2 | 사용되지 않음 | 0일 |
|
||||
| GLM-5.1 | 사용되지 않음 | 0일 |
|
||||
| Kimi K3 | 사용되지 않음 | 0일 |
|
||||
| Kimi K2.7 Code | 사용되지 않음 | 0일 |
|
||||
| Kimi K2.6 | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5-Pro | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5 | 사용되지 않음 | 0일 |
|
||||
| Qwen3.8 Max | 사용되지 않음 | 0일 |
|
||||
| Qwen3.7 Max | 사용되지 않음 | 0일 |
|
||||
| Qwen3.7 Plus | 사용되지 않음 | 0일 |
|
||||
| Qwen3.6 Plus | 사용되지 않음 | 0일 |
|
||||
| MiniMax M3 | 사용되지 않음 | 0일 |
|
||||
| MiniMax M2.7 | 사용되지 않음 | 0일 |
|
||||
| DeepSeek V4 Pro | 사용되지 않음 | 0일 |
|
||||
| DeepSeek V4 Flash | 사용되지 않음 | 0일 |
|
||||
| Hy3 | 사용되지 않음 | 0일 |
|
||||
|
||||
- **Grok 4.5:** ZDR은 저장된 데이터에 의존하는 중요한 API 기능(상태 저장형 Responses API, Files and Collections, Batch API 포함)을 비활성화합니다. [자세히 알아보기](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** 모든 API 기능 사용에 대해 악용 모니터링 로그가 생성되며 최대 30일 동안 보존됩니다. [자세히 알아보기](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **Muse Spark 1.2 Contributor:** 향후 Meta 모델 학습에 사용자의 프롬프트와 생성 결과를 사용할 수 있도록 허용하는 대신 토큰 가격이 대폭 할인됩니다. [자세히 알아보기](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
- **DeepSeek V4 Flash:** ZDR 계약은 매월 갱신됩니다. 현재 계약은 2026년 8월 31일까지 유효합니다.
|
||||
|
||||
---
|
||||
|
||||
@@ -49,70 +49,69 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
|
||||
|
||||
다음 API 엔드포인트를 통해서도 모델에 접근할 수 있습니다.
|
||||
|
||||
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
|
||||
| ------------------------------- | ------------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Muse Spark 1.2 Contributor Free | muse-spark-1.2-contributor-free | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
OpenCode config에서 사용하는 [모델 ID](/docs/config/#models)는 `opencode/<model-id>` 형식입니다. 예를 들어 GPT 5.5를 사용하려면 config에서 `opencode/gpt-5.5`를 사용하면 됩니다.
|
||||
|
||||
@@ -135,11 +134,12 @@ https://opencode.ai/zen/v1/models
|
||||
| 모델 | 입력 | 출력 | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| Muse Spark 1.2 Contributor Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -154,10 +154,8 @@ https://opencode.ai/zen/v1/models
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -169,7 +167,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -181,7 +178,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -208,8 +204,6 @@ https://opencode.ai/zen/v1/models
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak 시간은 01:00-04:00 및 06:00-10:00 UTC이며, 그 외 모든 시간은 Off-Peak입니다. [자세히 알아보기](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
사용 기록에서 Haiku, Nano 또는 Flash와 같은 [저비용 모델](/docs/config/#models)을 볼 수 있습니다. OpenCode는 이러한 모델을 사용해 세션 제목을 생성합니다.
|
||||
|
||||
:::note
|
||||
@@ -218,12 +212,13 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
무료 모델:
|
||||
|
||||
- DeepSeek V4 Flash Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- MiMo-V2.5 Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Hy3 Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Laguna S 2.1 Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Nemotron 3 Ultra Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Nemotron 3.5 Lightning Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Big Pickle은 한정된 기간 동안 OpenCode에서 무료로 제공되는 stealth model입니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Muse Spark 1.2 Contributor Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간을 활용해 피드백을 수집하고 모델을 개선하고 있습니다.
|
||||
|
||||
궁금한 점이 있으면 <a href={email}>Contact us</a>로 문의해 주세요.
|
||||
|
||||
@@ -275,13 +270,14 @@ https://opencode.ai/zen/v1/models
|
||||
모든 모델은 미국에서 호스팅됩니다. provider는 zero-retention 정책을 따르며, 다음 예외를 제외하고는 데이터를 모델 학습에 사용하지 않습니다.
|
||||
|
||||
- Big Pickle: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- DeepSeek V4 Flash Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- MiMo-V2.5 Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- Hy3 Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- Laguna S 2.1 Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- Nemotron 3 Ultra Free(NVIDIA 무료 엔드포인트): 평가판 전용이며 — 개인 정보나 기밀 데이터는 제출하지 마세요. 사용 내역은 보안 목적과 NVIDIA 제품 및 서비스 개선을 위해 기록됩니다. 개선 목적으로 기록된 세션 데이터는 사용자의 신원이나 영구 식별자와 연결되지 않습니다. 당사의 데이터 처리 관행에 대한 자세한 내용은 [개인정보처리방침](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)을 참조하세요. 이 엔드포인트와 상호 작용함으로써 사용자는 당사가 이러한 정보를 수집, 기록, 사용하는 것과 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)에 동의하게 됩니다.
|
||||
- Nemotron 3.5 Lightning Free(NVIDIA 무료 엔드포인트): 평가판 전용이며 — 개인 정보나 기밀 데이터는 제출하지 마세요. 사용 내역은 보안 목적과 NVIDIA 제품 및 서비스 개선을 위해 기록됩니다. 개선 목적으로 기록된 세션 데이터는 사용자의 신원이나 영구 식별자와 연결되지 않습니다. 당사의 데이터 처리 관행에 대한 자세한 내용은 [개인정보처리방침](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)을 참조하세요. 이 엔드포인트와 상호 작용함으로써 사용자는 당사가 이러한 정보를 수집, 기록, 사용하는 것과 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)에 동의하게 됩니다.
|
||||
- OpenAI APIs: 요청은 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data)에 따라 30일 동안 보관됩니다.
|
||||
- Anthropic APIs: 요청은 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage)에 따라 30일 동안 보관됩니다.
|
||||
- Muse Spark 1.2 Contributor Free: 대폭 할인된 토큰 가격을 제공하는 대신, 사용자의 프롬프트와 생성 결과를 향후 Meta 모델 학습에 사용할 수 있도록 허용해야 합니다. [자세히 알아보기](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
||||
|
||||
---
|
||||
|
||||
|
||||
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Reference in New Issue
Block a user