mirror of
https://github.com/anomalyco/opencode.git
synced 2026-08-17 21:21:18 -04:00
Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 opencode
|
02546dfc2e |
@@ -0,0 +1,37 @@
|
||||
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:
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||||
fetch-depth: 0
|
||||
|
||||
- name: Setup Bun
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||||
uses: ./.github/actions/setup-bun
|
||||
|
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- name: Setup Git Committer
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||||
id: setup-git-committer
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||||
uses: ./.github/actions/setup-git-committer
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||||
with:
|
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opencode-app-id: ${{ vars.OPENCODE_APP_ID }}
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opencode-app-secret: ${{ secrets.OPENCODE_APP_SECRET }}
|
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|
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- name: Install OpenCode
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run: bun i -g opencode-ai
|
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|
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- name: Sync beta branch
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env:
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GH_TOKEN: ${{ steps.setup-git-committer.outputs.token }}
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OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
|
||||
run: bun script/beta.ts
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@@ -29,7 +29,7 @@
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},
|
||||
"packages/app": {
|
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"name": "@opencode-ai/app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@corvu/drawer": "catalog:",
|
||||
"@dnd-kit/abstract": "0.5.0",
|
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@@ -96,7 +96,7 @@
|
||||
},
|
||||
"packages/cli": {
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"bin": {
|
||||
"lildax": "./bin/lildax.cjs",
|
||||
},
|
||||
@@ -144,7 +144,7 @@
|
||||
},
|
||||
"packages/codemode": {
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"acorn": "8.15.0",
|
||||
"effect": "catalog:",
|
||||
@@ -158,7 +158,7 @@
|
||||
},
|
||||
"packages/console/app": {
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@ibm/plex": "6.4.1",
|
||||
@@ -194,7 +194,7 @@
|
||||
},
|
||||
"packages/console/core": {
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-sts": "3.782.0",
|
||||
"@jsx-email/render": "1.1.1",
|
||||
@@ -221,7 +221,7 @@
|
||||
},
|
||||
"packages/console/function": {
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "3.0.82",
|
||||
"@ai-sdk/openai": "3.0.48",
|
||||
@@ -243,7 +243,7 @@
|
||||
},
|
||||
"packages/console/mail": {
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
@@ -267,7 +267,7 @@
|
||||
},
|
||||
"packages/console/support": {
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@opencode-ai/console-core": "workspace:*",
|
||||
@@ -287,7 +287,7 @@
|
||||
},
|
||||
"packages/core": {
|
||||
"name": "@opencode-ai/core",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -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:",
|
||||
@@ -381,7 +381,7 @@
|
||||
},
|
||||
"packages/desktop": {
|
||||
"name": "@opencode-ai/desktop",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"drizzle-orm": "catalog:",
|
||||
@@ -435,7 +435,7 @@
|
||||
},
|
||||
"packages/effect-drizzle-sqlite": {
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"drizzle-orm": "catalog:",
|
||||
"effect": "catalog:",
|
||||
@@ -449,7 +449,7 @@
|
||||
},
|
||||
"packages/effect-sqlite-node": {
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"effect": "catalog:",
|
||||
},
|
||||
@@ -461,7 +461,7 @@
|
||||
},
|
||||
"packages/enterprise": {
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@hono/standard-validator": "catalog:",
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
@@ -493,7 +493,7 @@
|
||||
},
|
||||
"packages/function": {
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@octokit/auth-app": "8.0.1",
|
||||
"@octokit/rest": "catalog:",
|
||||
@@ -509,7 +509,7 @@
|
||||
},
|
||||
"packages/http-recorder": {
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@effect/platform-node": "4.0.0-beta.83",
|
||||
"@effect/platform-node-shared": "4.0.0-beta.83",
|
||||
@@ -540,7 +540,7 @@
|
||||
},
|
||||
"packages/llm": {
|
||||
"name": "@opencode-ai/llm",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@opencode-ai/schema": "workspace:*",
|
||||
"@smithy/eventstream-codec": "4.2.14",
|
||||
@@ -559,7 +559,7 @@
|
||||
},
|
||||
"packages/opencode": {
|
||||
"name": "opencode",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -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:",
|
||||
@@ -690,7 +690,7 @@
|
||||
},
|
||||
"packages/plugin": {
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@ai-sdk/provider": "3.0.8",
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
@@ -766,7 +766,7 @@
|
||||
},
|
||||
"packages/sdk/js": {
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"cross-spawn": "catalog:",
|
||||
},
|
||||
@@ -781,7 +781,7 @@
|
||||
},
|
||||
"packages/server": {
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/protocol": "workspace:*",
|
||||
@@ -796,7 +796,7 @@
|
||||
},
|
||||
"packages/session-ui": {
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@opencode-ai/client": "file:../app/vendor/opencode-ai-client-1.17.13-v2.tgz",
|
||||
@@ -836,7 +836,7 @@
|
||||
},
|
||||
"packages/slack": {
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
"@slack/bolt": "^3.17.1",
|
||||
@@ -849,7 +849,7 @@
|
||||
},
|
||||
"packages/stats/app": {
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@ibm/plex": "6.4.1",
|
||||
"@kobalte/core": "catalog:",
|
||||
@@ -883,7 +883,7 @@
|
||||
},
|
||||
"packages/stats/core": {
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-athena": "3.933.0",
|
||||
"@planetscale/database": "1.19.0",
|
||||
@@ -902,7 +902,7 @@
|
||||
},
|
||||
"packages/stats/server": {
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-firehose": "3.933.0",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -944,7 +944,7 @@
|
||||
},
|
||||
"packages/tui": {
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/plugin": "workspace:*",
|
||||
@@ -971,7 +971,7 @@
|
||||
},
|
||||
"packages/ui": {
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@pierre/diffs": "catalog:",
|
||||
@@ -1022,7 +1022,7 @@
|
||||
},
|
||||
"packages/web": {
|
||||
"name": "@opencode-ai/web",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@astrojs/cloudflare": "12.6.3",
|
||||
"@astrojs/markdown-remark": "6.3.1",
|
||||
@@ -1075,7 +1075,6 @@
|
||||
"@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
|
||||
"@npmcli/agent@4.0.2": "patches/@npmcli%2Fagent@4.0.2.patch",
|
||||
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
|
||||
"@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch",
|
||||
"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
|
||||
"pacote@21.5.0": "patches/pacote@21.5.0.patch",
|
||||
"@dnd-kit/dom@0.5.0": "patches/@dnd-kit%2Fdom@0.5.0.patch",
|
||||
@@ -1183,21 +1182,21 @@
|
||||
|
||||
"@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=="],
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||||
"@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=="],
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|
||||
"@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=="],
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|
||||
"@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=="],
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"@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=="],
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||||
"@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=="],
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||||
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@@ -3063,7 +3062,7 @@
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@@ -5667,9 +5666,9 @@
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@@ -5677,29 +5676,27 @@
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@@ -6173,23 +6170,21 @@
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@@ -6599,24 +6594,16 @@
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@@ -6989,45 +6976,29 @@
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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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||||
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@@ -7447,31 +7418,13 @@
|
||||
|
||||
"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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||||
|
||||
"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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||||
|
||||
"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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||||
|
||||
"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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|
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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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|
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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-uduwrM143NDSc+tXsi4lVVfoMll2a3BDHRUjuO7GB68=",
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"aarch64-linux": "sha256-6DUda78XdXY6DP86lIUkweSjys3iG4Y4mo1PiaNuXbg=",
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"aarch64-darwin": "sha256-AkJwfLULLZVwwz+XU1QcFUZoIS7oVPCn+n/MXEaxrqE=",
|
||||
"x86_64-darwin": "sha256-hAxKGdiITTxQ2uujQt6prNjo3NxGAMMeo+9HlMWK6GU="
|
||||
}
|
||||
}
|
||||
|
||||
+1
-2
@@ -159,7 +159,6 @@
|
||||
"@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
|
||||
"effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
|
||||
"@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch",
|
||||
"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch",
|
||||
"@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch"
|
||||
"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"description": "",
|
||||
"type": "module",
|
||||
"exports": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"bin": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"description": "Effect-native confined code execution over schema-described tools",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -252,6 +252,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "الاستثناءات التالية",
|
||||
|
||||
"go.title": "OpenCode Go | نماذج برمجة منخفضة التكلفة للجميع",
|
||||
"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",
|
||||
|
||||
@@ -256,6 +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": "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",
|
||||
|
||||
@@ -254,6 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende undtagelser",
|
||||
|
||||
"go.title": "OpenCode Go | Kodningsmodeller til lav pris for alle",
|
||||
"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",
|
||||
|
||||
@@ -256,6 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "folgenden Ausnahmen",
|
||||
|
||||
"go.title": "OpenCode Go | Kostengünstige Coding-Modelle für alle",
|
||||
"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",
|
||||
|
||||
@@ -253,6 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "following exceptions",
|
||||
|
||||
"go.title": "OpenCode Go | Low cost coding models for everyone",
|
||||
"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",
|
||||
|
||||
@@ -257,6 +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": "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",
|
||||
|
||||
@@ -258,6 +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": "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",
|
||||
|
||||
@@ -254,6 +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": "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",
|
||||
|
||||
@@ -253,6 +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": "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",
|
||||
|
||||
@@ -250,6 +250,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "다음 예외",
|
||||
|
||||
"go.title": "OpenCode Go | 모두를 위한 저비용 코딩 모델",
|
||||
"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",
|
||||
|
||||
@@ -254,6 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende unntak",
|
||||
|
||||
"go.title": "OpenCode Go | Rimelige kodemodeller for alle",
|
||||
"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",
|
||||
|
||||
@@ -255,6 +255,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "następującymi wyjątkami",
|
||||
|
||||
"go.title": "OpenCode Go | Niskokosztowe modele do kodowania dla każdego",
|
||||
"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",
|
||||
|
||||
@@ -258,6 +258,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "следующими исключениями",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогие модели для кодинга для всех",
|
||||
"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",
|
||||
|
||||
@@ -253,6 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "ข้อยกเว้นดังนี้",
|
||||
|
||||
"go.title": "OpenCode Go | โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
"go.banner.text": "DeepSeek V4 Flash เพิ่มโควตาการใช้งานเป็น 2 เท่าในช่วงเวลาจำกัด",
|
||||
"go.meta.description":
|
||||
"Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดการใช้งานที่เอื้อเฟื้อและการเข้าถึงโมเดลเขียนโค้ดชั้นนำอย่างเชื่อถือได้",
|
||||
"go.hero.title": "โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
|
||||
@@ -256,6 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "aşağıdaki istisnalar",
|
||||
|
||||
"go.title": "OpenCode Go | Herkes için düşük maliyetli kodlama modelleri",
|
||||
"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",
|
||||
|
||||
@@ -255,6 +255,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "такими винятками",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогі моделі кодування для всіх",
|
||||
"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",
|
||||
|
||||
@@ -244,6 +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": "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":
|
||||
|
||||
@@ -244,6 +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": "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":
|
||||
|
||||
@@ -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" },
|
||||
@@ -67,17 +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: "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: "hy3", name: "Hy3", req: 4300, d: "320ms" },
|
||||
{ id: "deepseek-v4-flash", name: "DeepSeek V4 Flash", req: 7600, d: "330ms" },
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, edge: true, d: "340ms" },
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, d: "340ms" },
|
||||
{
|
||||
id: "deepseek-v4-flash",
|
||||
name: "DeepSeek V4 Flash",
|
||||
req: 63300,
|
||||
baseReq: 31650,
|
||||
edge: true,
|
||||
d: "340ms",
|
||||
},
|
||||
]
|
||||
|
||||
const w = 1040
|
||||
@@ -252,6 +258,12 @@ export default function Home() {
|
||||
|
||||
<div data-component="content">
|
||||
<section data-component="hero">
|
||||
<div data-component="desktop-app-banner">
|
||||
<span data-slot="badge">{i18n.t("home.banner.badge")}</span>
|
||||
<div data-slot="content">
|
||||
<span data-slot="text">{i18n.t("go.banner.text")}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div data-slot="hero-copy">
|
||||
<img data-slot="zen logo light" src={goLogoLight} alt="" />
|
||||
<img data-slot="zen logo dark" src={goLogoDark} alt="" />
|
||||
|
||||
@@ -306,7 +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>
|
||||
|
||||
@@ -250,7 +250,6 @@ export async function handler(
|
||||
headers.delete("x-opencode-session")
|
||||
headers.delete("x-opencode-project")
|
||||
headers.delete("x-opencode-client")
|
||||
if (isNewInference && sessionId) headers.set("x-opencode-session", sessionId)
|
||||
return headers
|
||||
})(),
|
||||
body: reqBody,
|
||||
@@ -1033,14 +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
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -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(),
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"name": "@opencode-ai/core",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
@@ -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 })
|
||||
|
||||
@@ -40,7 +40,7 @@ already-loaded config until then.
|
||||
| Scope | Path |
|
||||
| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Project config | `./opencode.json`, `./opencode.jsonc`, or `.opencode/opencode.json` (opencode walks up from the cwd to the worktree root) |
|
||||
| Global config | `~/.config/opencode/opencode.json` or `~/.config/opencode/opencode.jsonc` (NOT `~/.opencode/`) |
|
||||
| Global config | `~/.config/opencode/opencode.json` (NOT `~/.opencode/`) |
|
||||
| Project agents | `.opencode/agent/<name>.md` or `.opencode/agents/<name>.md` |
|
||||
| Global agents | `~/.config/opencode/agent(s)/<name>.md` |
|
||||
| Project commands | `.opencode/command/<name>.md` or `.opencode/commands/<name>.md` |
|
||||
|
||||
@@ -264,10 +264,7 @@ const layer = Layer.effect(
|
||||
}),
|
||||
line: match.line_number,
|
||||
offset: match.absolute_offset,
|
||||
text:
|
||||
match.lines.text.length > 2_000
|
||||
? match.lines.text.slice(0, 2_000).replace(/[\uD800-\uDBFF]$/, "") + "..."
|
||||
: match.lines.text,
|
||||
text: match.lines.text.length > 2_000 ? match.lines.text.slice(0, 2_000) + "..." : match.lines.text,
|
||||
submatches: match.submatches.map((submatch) => ({
|
||||
text: submatch.match.text,
|
||||
start: submatch.start,
|
||||
|
||||
@@ -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)
|
||||
}),
|
||||
)
|
||||
}),
|
||||
|
||||
@@ -1,28 +0,0 @@
|
||||
import { createGroq } from "@ai-sdk/groq"
|
||||
import { expect, test } from "bun:test"
|
||||
|
||||
test("Groq passes through unknown reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created: 0,
|
||||
model: "openai/gpt-oss-120b",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createGroq({ apiKey: "test", fetch: mockFetch })("openai/gpt-oss-120b")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { groq: { reasoningEffort: "custom" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("custom")
|
||||
})
|
||||
@@ -27,32 +27,6 @@ test("Mistral sends promptCacheKey as prompt_cache_key", async () => {
|
||||
expect(body?.prompt_cache_key).toBe("session-123")
|
||||
})
|
||||
|
||||
test("Mistral passes through unknown reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created: 0,
|
||||
model: "mistral-large-latest",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createMistral({ apiKey: "test", fetch: mockFetch })("mistral-large-latest")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { mistral: { reasoningEffort: "custom" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("custom")
|
||||
})
|
||||
|
||||
test("Mistral round-trips native reasoning in assistant history", async () => {
|
||||
let body: { messages?: unknown[] } | undefined
|
||||
const mockFetch = Object.assign(
|
||||
|
||||
@@ -30,56 +30,3 @@ test("xAI Responses sends promptCacheKey as prompt_cache_key", async () => {
|
||||
|
||||
expect(body?.prompt_cache_key).toBe("session-123")
|
||||
})
|
||||
|
||||
test("xAI Responses passes through xhigh reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created_at: 0,
|
||||
model: "grok-4",
|
||||
object: "response",
|
||||
output: [],
|
||||
usage: { input_tokens: 1, output_tokens: 0 },
|
||||
status: "completed",
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createXai({ apiKey: "test", fetch: mockFetch }).responses("grok-4")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { xai: { reasoningEffort: "xhigh" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning).toEqual({ effort: "xhigh" })
|
||||
})
|
||||
|
||||
test("xAI Chat passes through xhigh reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "chat-1",
|
||||
created: 0,
|
||||
model: "grok-4",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createXai({ apiKey: "test", fetch: mockFetch }).chat("grok-4")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { xai: { reasoningEffort: "xhigh" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
@@ -62,24 +62,4 @@ describe("Ripgrep", () => {
|
||||
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
|
||||
),
|
||||
)
|
||||
it.live("does not split surrogate pairs in oversized line previews", () =>
|
||||
Effect.acquireUseRelease(
|
||||
Effect.promise(() => tmpdir()),
|
||||
(tmp) =>
|
||||
Effect.gen(function* () {
|
||||
yield* Effect.promise(() =>
|
||||
fs.writeFile(path.join(tmp.path, "unicode.txt"), `needle${"x".repeat(1_993)}😀\n`),
|
||||
)
|
||||
|
||||
const matches = yield* (yield* Ripgrep.Service).grep({
|
||||
cwd: tmp.path,
|
||||
pattern: "needle",
|
||||
limit: 10,
|
||||
})
|
||||
|
||||
expect(matches[0]?.text).toBe(`needle${"x".repeat(1_993)}...`)
|
||||
}),
|
||||
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
|
||||
),
|
||||
)
|
||||
})
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@opencode-ai/desktop",
|
||||
"private": true,
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"homepage": "https://opencode.ai",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"name": "@opencode-ai/llm",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"name": "opencode",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
@@ -64,7 +64,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -111,7 +111,7 @@
|
||||
"@types/ws": "8.18.1",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
|
||||
@@ -15,7 +15,7 @@ const dim = (value: string) => UI.Style.TEXT_DIM + value + UI.Style.TEXT_NORMAL
|
||||
|
||||
const activeSuffix = (isActive: boolean) => (isActive ? dim(" (active)") : "")
|
||||
|
||||
export const defaultConsoleUrl = "https://opencode.ai/console"
|
||||
export const defaultConsoleUrl = "https://console.opencode.ai"
|
||||
|
||||
export const formatAccountLabel = (account: { email: string; url: string }, isActive: boolean) =>
|
||||
`${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.
|
||||
|
||||
@@ -40,11 +40,7 @@ export function provider(model: Provider.Model) {
|
||||
if (model.api.id.includes("gemini-")) return [PROMPT_GEMINI]
|
||||
if (model.api.id.includes("claude")) return [PROMPT_ANTHROPIC]
|
||||
if (model.api.id.toLowerCase().includes("trinity")) return [PROMPT_TRINITY]
|
||||
if (
|
||||
model.api.id.toLowerCase().includes("kimi") ||
|
||||
["kimi-for-coding", "moonshotai", "moonshotai-cn"].includes(model.providerID)
|
||||
)
|
||||
return [PROMPT_KIMI]
|
||||
if (model.api.id.toLowerCase().includes("kimi")) return [PROMPT_KIMI]
|
||||
return [PROMPT_DEFAULT]
|
||||
}
|
||||
|
||||
|
||||
@@ -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>
|
||||
|
||||
@@ -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")
|
||||
})
|
||||
})
|
||||
|
||||
@@ -102,13 +102,6 @@ describe("session.system", () => {
|
||||
}
|
||||
})
|
||||
|
||||
test("selects the Kimi prompt for official provider model IDs", () => {
|
||||
for (const providerID of ["kimi-for-coding", "moonshotai", "moonshotai-cn"]) {
|
||||
const prompt = SystemPrompt.provider({ providerID, api: { id: "k3" } } as Provider.Model)[0]
|
||||
expect(prompt).toContain("# Prompt and Tool Use")
|
||||
}
|
||||
})
|
||||
|
||||
it.effect("skills output is sorted by name and stable across calls", () =>
|
||||
Effect.gen(function* () {
|
||||
const prompt = yield* SystemPrompt.Service
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -241,7 +241,7 @@ export function Footer(props: {
|
||||
{ href: "https://opencode.ai/discord", label: i18n.t("footer.community") },
|
||||
{ href: "https://x.com/opencode", label: "X" },
|
||||
{ href: githubLink.href, label: i18n.t("header.github") },
|
||||
{ href: "https://www.youtube.com/@anomalyco", label: i18n.t("footer.youtube") },
|
||||
{ href: "https://www.youtube.com/@anomaly-co", label: i18n.t("footer.youtube") },
|
||||
]
|
||||
const bridge = () =>
|
||||
props.bridge === undefined
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"repository": {
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "@opencode-ai/web",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"version": "1.18.18",
|
||||
"version": "1.18.17",
|
||||
"scripts": {
|
||||
"dev": "astro dev",
|
||||
"dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
|
||||
|
||||
@@ -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**
|
||||
@@ -81,7 +80,7 @@ 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:
|
||||
|
||||
@@ -89,7 +88,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| ----------------- | ------------------- | ------------------ | ---------------- |
|
||||
| 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 |
|
||||
@@ -103,19 +101,19 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| 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 |
|
||||
| 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
|
||||
- Qwen3.8 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
|
||||
@@ -133,7 +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 |
|
||||
@@ -150,14 +147,10 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| 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
|
||||
@@ -192,9 +185,8 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------- | ------------------ |
|
||||
| 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 |
|
||||
|
||||
@@ -85,7 +85,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| 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` |
|
||||
@@ -94,7 +93,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| 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` |
|
||||
@@ -115,6 +113,7 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -144,6 +143,7 @@ https://opencode.ai/zen/v1/models
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -160,10 +160,8 @@ 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 |
|
||||
@@ -175,7 +173,6 @@ 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 | - |
|
||||
@@ -187,7 +184,6 @@ 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 |
|
||||
@@ -214,8 +210,6 @@ 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
|
||||
@@ -228,6 +222,7 @@ https://opencode.ai/zen/v1/models
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
@@ -286,6 +281,7 @@ https://opencode.ai/zen/v1/models
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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).
|
||||
|
||||
@@ -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**
|
||||
@@ -91,7 +90,7 @@ 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:
|
||||
|
||||
@@ -99,7 +98,6 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
|
||||
| ----------------- | ------------------ | ----------------- | ----------------- |
|
||||
| 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 |
|
||||
@@ -113,19 +111,19 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
|
||||
| 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 |
|
||||
| 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
|
||||
- Qwen3.8 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
@@ -143,7 +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 |
|
||||
@@ -160,14 +157,10 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| 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
|
||||
@@ -204,9 +197,8 @@ 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` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ----------------- | -------------------- |
|
||||
| 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 |
|
||||
|
||||
@@ -90,7 +90,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| 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` |
|
||||
@@ -99,7 +98,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| 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` |
|
||||
@@ -120,6 +118,7 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -151,6 +150,7 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -167,10 +167,8 @@ 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 |
|
||||
@@ -182,7 +180,6 @@ 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 | - |
|
||||
@@ -194,7 +191,6 @@ 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 |
|
||||
@@ -221,8 +217,6 @@ 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
|
||||
@@ -235,6 +229,7 @@ Besplatni modeli:
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
@@ -298,6 +293,7 @@ i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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).
|
||||
|
||||
@@ -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**
|
||||
@@ -91,7 +90,7 @@ 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:
|
||||
|
||||
@@ -99,7 +98,6 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| ----------------- | ----------------------- | ------------------- | --------------------- |
|
||||
| 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 |
|
||||
@@ -113,19 +111,19 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| 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 |
|
||||
| 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
|
||||
- Qwen3.8 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
@@ -143,7 +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 |
|
||||
@@ -160,14 +157,10 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| 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
|
||||
@@ -204,9 +197,8 @@ 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` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------ | -------------- |
|
||||
| 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 |
|
||||
|
||||
@@ -90,7 +90,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| 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` |
|
||||
@@ -99,7 +98,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| 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` |
|
||||
@@ -120,6 +118,7 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -151,6 +150,7 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -167,10 +167,8 @@ 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 |
|
||||
@@ -182,7 +180,6 @@ 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 | - |
|
||||
@@ -194,7 +191,6 @@ 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 |
|
||||
@@ -221,8 +217,6 @@ 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
|
||||
@@ -235,6 +229,7 @@ De gratis modeller:
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
@@ -296,6 +291,7 @@ Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspoliti
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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).
|
||||
|
||||
@@ -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**
|
||||
@@ -83,7 +82,7 @@ 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:
|
||||
|
||||
@@ -91,7 +90,6 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
||||
| ----------------- | ---------------------- | ------------------ | ------------------ |
|
||||
| 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 |
|
||||
@@ -105,19 +103,19 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
||||
| 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 |
|
||||
| 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
|
||||
- Qwen3.8 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
@@ -135,7 +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 |
|
||||
@@ -152,14 +149,10 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| 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
|
||||
@@ -194,9 +187,8 @@ 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` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -235,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | --------------- | ----------------- |
|
||||
| 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 |
|
||||
|
||||
@@ -81,7 +81,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| 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` |
|
||||
@@ -90,7 +89,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| 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` |
|
||||
@@ -111,6 +109,7 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -140,6 +139,7 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -156,10 +156,8 @@ 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 |
|
||||
@@ -171,7 +169,6 @@ 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 | - |
|
||||
@@ -183,7 +180,6 @@ 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 |
|
||||
@@ -210,8 +206,6 @@ 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
|
||||
@@ -224,6 +218,7 @@ Die kostenlosen Modelle:
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
@@ -282,6 +277,7 @@ Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zer
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
|
||||
@@ -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**
|
||||
@@ -91,7 +90,7 @@ 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:
|
||||
|
||||
@@ -99,7 +98,6 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
|
||||
| ----------------- | ---------------------- | --------------------- | ------------------ |
|
||||
| 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 |
|
||||
@@ -113,19 +111,19 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
|
||||
| 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 |
|
||||
| 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
|
||||
- Qwen3.8 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
|
||||
@@ -143,7 +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 |
|
||||
@@ -160,14 +157,10 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
|
||||
| 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
|
||||
@@ -204,9 +197,8 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
|
||||
|
||||
| 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` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------------------ | ------------------ |
|
||||
| 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 |
|
||||
|
||||
@@ -90,7 +90,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
|
||||
| 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` |
|
||||
@@ -99,7 +98,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
|
||||
| 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` |
|
||||
@@ -120,6 +118,7 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -151,6 +150,7 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -167,10 +167,8 @@ 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 |
|
||||
@@ -182,7 +180,6 @@ 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 | - |
|
||||
@@ -194,7 +191,6 @@ 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 |
|
||||
@@ -221,8 +217,6 @@ 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
|
||||
@@ -235,6 +229,7 @@ Los modelos gratuitos:
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
@@ -296,6 +291,7 @@ Todos nuestros modelos están alojados en US. Nuestros proveedores siguen una po
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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).
|
||||
|
||||
@@ -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**
|
||||
@@ -81,7 +80,7 @@ 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 :
|
||||
|
||||
@@ -89,7 +88,6 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
|
||||
| ----------------- | --------------------- | -------------------- | ----------------- |
|
||||
| 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 |
|
||||
@@ -103,19 +101,19 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
|
||||
| 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 |
|
||||
| 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
|
||||
- Qwen3.8 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
|
||||
@@ -133,7 +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 |
|
||||
@@ -150,14 +147,10 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
|
||||
| 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
|
||||
@@ -192,9 +185,8 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
|
||||
|
||||
| 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` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------------------ | ------------------------ |
|
||||
| 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 |
|
||||
|
||||
@@ -81,7 +81,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
|
||||
| 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` |
|
||||
@@ -90,7 +89,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
|
||||
| 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` |
|
||||
@@ -111,6 +109,7 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -140,6 +139,7 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -156,10 +156,8 @@ 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 |
|
||||
@@ -171,7 +169,6 @@ 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 | - |
|
||||
@@ -183,7 +180,6 @@ 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 |
|
||||
@@ -210,8 +206,6 @@ 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
|
||||
@@ -224,6 +218,7 @@ Les modèles gratuits :
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
@@ -282,6 +277,7 @@ Tous nos modèles sont hébergés aux US. Nos fournisseurs suivent une politique
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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).
|
||||
|
||||
@@ -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**
|
||||
@@ -91,7 +90,7 @@ 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:
|
||||
|
||||
@@ -99,7 +98,6 @@ The table below provides an estimated request count based on typical Go usage pa
|
||||
| ----------------- | ------------------- | ----------------- | ------------------ |
|
||||
| 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 |
|
||||
@@ -113,19 +111,19 @@ The table below provides an estimated request count based on typical Go usage pa
|
||||
| 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 |
|
||||
| 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
|
||||
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
|
||||
@@ -143,7 +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 |
|
||||
@@ -160,14 +157,10 @@ The estimates are also based on the following prices per 1M tokens and the month
|
||||
| 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
|
||||
@@ -204,9 +197,8 @@ 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` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | -------------- | -------------- |
|
||||
| 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 |
|
||||
|
||||
@@ -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**
|
||||
@@ -89,7 +88,7 @@ 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:
|
||||
|
||||
@@ -97,7 +96,6 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
|
||||
| ----------------- | -------------------- | --------------------- | ----------------- |
|
||||
| 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 |
|
||||
@@ -111,19 +109,19 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
|
||||
| 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 |
|
||||
| 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
|
||||
- Qwen3.8 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
|
||||
@@ -141,7 +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 |
|
||||
@@ -158,14 +155,10 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
|
||||
| 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
|
||||
@@ -202,9 +195,8 @@ 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` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -245,7 +237,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------------------- | ---------------------- |
|
||||
| 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 |
|
||||
|
||||
@@ -90,7 +90,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
| 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` |
|
||||
@@ -99,7 +98,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
| 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` |
|
||||
@@ -120,6 +118,7 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -151,6 +150,7 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -167,10 +167,8 @@ 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 |
|
||||
@@ -182,7 +180,6 @@ 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 | - |
|
||||
@@ -194,7 +191,6 @@ 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 |
|
||||
@@ -221,8 +217,6 @@ 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
|
||||
@@ -235,6 +229,7 @@ I modelli gratuiti:
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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.
|
||||
@@ -296,6 +291,7 @@ Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una pol
|
||||
- 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.
|
||||
- Ling-3.0-tiny 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).
|
||||
|
||||
@@ -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**
|
||||
@@ -81,7 +80,7 @@ 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：
|
||||
|
||||
@@ -89,7 +88,6 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| ----------------- | ------------------------- | ---------------- | ---------------- |
|
||||
| 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 |
|
||||
@@ -103,19 +101,19 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| 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 |
|
||||
| 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
|
||||
- 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
|
||||
@@ -133,7 +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 |
|
||||
@@ -150,14 +147,10 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| 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
|
||||
@@ -192,9 +185,8 @@ 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
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| 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` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | -------------------- | ---------- |
|
||||
| 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 |
|
||||
|
||||
@@ -81,7 +81,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
| 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` |
|
||||
@@ -90,7 +89,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
| 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` |
|
||||
@@ -111,6 +109,7 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
| 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` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-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` |
|
||||
@@ -140,6 +139,7 @@ https://opencode.ai/zen/v1/models
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -156,10 +156,8 @@ 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 |
|
||||
@@ -171,7 +169,6 @@ 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 | - |
|
||||
@@ -183,7 +180,6 @@ 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 |
|
||||
@@ -210,8 +206,6 @@ 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
|
||||
@@ -224,6 +218,7 @@ https://opencode.ai/zen/v1/models
|
||||
- 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。
|
||||
- Ling-3.0-tiny 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。
|
||||
@@ -282,6 +277,7 @@ https://opencode.ai/zen/v1/models
|
||||
- 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。
|
||||
- Ling-3.0-tiny 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。
|
||||
|
||||
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