Compare commits

..

27 Commits

Author SHA1 Message Date
opencode-agent[bot] da4730e4a4 chore: generate 2026-08-19 06:36:52 +00:00
Frank 18fc3eea7c update zen model name 2026-08-19 02:35:19 -04:00
opencode-agent[bot] 101ff6d1a2 chore: generate 2026-08-19 04:53:24 +00:00
Jack 20ad497bc8 docs(console): end Luna usage promotion (#43351) 2026-08-19 12:52:09 +08:00
opencode-agent[bot] 1b18a50418 chore: generate 2026-08-19 03:58:10 +00:00
Frank 0a6397272c Merge branch 'muse-spark' into dev 2026-08-18 23:56:22 -04:00
Frank 3477d28a87 Merge branch 'muse-spark' of github.com:anomalyco/opencode into muse-spark 2026-08-18 23:55:07 -04:00
Frank fb772e8a02 sync 2026-08-18 23:54:57 -04:00
Frank 4e29e04f24 sync 2026-08-18 23:52:44 -04:00
Frank fbcd4faa61 sync 2026-08-18 23:48:49 -04:00
Frank da3ba63872 sync 2026-08-18 23:42:23 -04:00
Frank e2a2bc301d sync 2026-08-18 23:13:41 -04:00
Frank 72824fe65d sync 2026-08-18 23:11:12 -04:00
Frank 64b4f7df4c sync 2026-08-18 22:55:47 -04:00
bhuvankakkar 7774461bbf docs: add SCX.ai to the providers list (#42520) 2026-08-18 21:11:56 -05:00
opencode-agent[bot] 8b65fa2ef6 fix(opencode): remove Qwen sampling defaults (#43310)
Co-authored-by: rekram1-node <63023139+rekram1-node@users.noreply.github.com>
2026-08-18 17:59:59 -05:00
Filip 0033bb3559 fix(core): restore session request headers (#43188) 2026-08-18 21:27:28 +02:00
OpeOginni ad905f8e6c fix(opencode): properly show authed providers on /connect command (#39915) 2026-08-18 18:48:25 +00:00
Shoubhit Dash 9b0dd36cda fix(session): ignore malformed model costs (#43248) 2026-08-18 19:49:08 +05:30
Adam 4e81a0b73f fix(console): preserve inference sessions (#43124)
Co-authored-by: Frank <frank@anoma.ly>
2026-08-18 00:48:25 -04:00
opencode-agent[bot] 32320409b1 fix(app): keep server details editable (#43169)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
2026-08-18 03:38:06 +00:00
Dax Raad 040b856140 fix(cli): stop legacy preview publishing 2026-08-17 23:08:34 -04:00
opencode-agent[bot] 65c35977bd chore: update nix node_modules hashes 2026-08-17 19:25:35 +00:00
opencode-agent[bot] 57075d8cdc fix(provider): update Google Vertex SDK (#43108)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-08-17 14:11:23 -05:00
Frank e14acea581 update ds flash limit 2026-08-17 14:54:03 -04:00
Filip 7af274a921 fix(core): fall back on oversized websocket requests (#43099) 2026-08-17 20:36:00 +02:00
Filip a97fec8af5 fix: codex data residency (#42432) 2026-08-17 19:03:28 +02:00
74 changed files with 8306 additions and 1706 deletions
+11 -19
View File
@@ -301,7 +301,7 @@
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"@ai-sdk/gateway": "3.0.104",
"@ai-sdk/google": "3.0.73",
"@ai-sdk/google-vertex": "4.0.128",
"@ai-sdk/google-vertex": "4.0.181",
"@ai-sdk/groq": "3.0.31",
"@ai-sdk/mistral": "3.0.51",
"@ai-sdk/openai": "3.0.84",
@@ -576,7 +576,7 @@
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"@ai-sdk/gateway": "3.0.104",
"@ai-sdk/google": "3.0.73",
"@ai-sdk/google-vertex": "4.0.128",
"@ai-sdk/google-vertex": "4.0.181",
"@ai-sdk/groq": "3.0.31",
"@ai-sdk/mistral": "3.0.51",
"@ai-sdk/openai": "3.0.84",
@@ -1197,7 +1197,7 @@
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@@ -6181,8 +6183,6 @@
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"ai-gateway-provider/@ai-sdk/groq": ["@ai-sdk/groq@3.0.59", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-X4h60TGq4pIOXPsthatUr+bfTaYCaKGX597hG9JgcueEl4+nboCdw99ixjFKGkvYlBJwLCCfI957EmGA2QlF0w=="],
"ai-gateway-provider/@ai-sdk/openai": ["@ai-sdk/openai@3.0.84", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-cmgbeJL0bbY0yTJH4/AdmP5E7MjWRL9G8UdhIi0JlV/So03o82ORJofW8OzwCZPTORVQblFbpZXYGDcUd9NdUQ=="],
@@ -6615,6 +6615,8 @@
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"@ai-sdk/google-vertex/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
"@ai-sdk/google/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"@ai-sdk/groq/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
@@ -7015,12 +7017,6 @@
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"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.67", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-glcEJC2mBXJKj7joFI0fRhcbdDYKTBgXMPcT6Vcnlym67tTzuNG9pFx3zblxVv8TdOxhojJja5zGG19yeGJxuA=="],
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
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"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
@@ -7463,10 +7459,6 @@
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"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
"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=="],
"ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+4 -4
View File
@@ -1,8 +1,8 @@
{
"nodeModules": {
"x86_64-linux": "sha256-kDCnJMnaK/Jq7ckcpPB7Vl9v98EMSdcehZAtf8jNjTs=",
"aarch64-linux": "sha256-0aR+OJGXS5HMlXbe/BHybjIRvdNJJw6gjW+jr6Dk7Pk=",
"aarch64-darwin": "sha256-loLrV6xiorhwS/N2hlpiKSKX172Qxy+auNiPzFBhQSc=",
"x86_64-darwin": "sha256-PNEpQBLAz8M274bSyTpp0jofETn2L+D0uBiJHUV7nB0="
"x86_64-linux": "sha256-yQ8EIxxYkzlEWIMY/UiIR+7lbGBuizsoehMPZzFA65Y=",
"aarch64-linux": "sha256-JF9VVgnl5QUZ430fqb5Qu8y0kchYJ00LO3FbYcd0lBM=",
"aarch64-darwin": "sha256-f3Tu6eu463NWcHgr7dupfD/zUTh26bJ6N2vVXuEyi6c=",
"x86_64-darwin": "sha256-miv9Sv4KdhD0UIi2O5LVS1wQOfq29IV+9S+BvIzAvgo="
}
}
@@ -145,7 +145,7 @@ function ServerForm(props: ServerFormProps) {
type="text"
label={language.t("dialog.server.add.name")}
placeholder={language.t("dialog.server.add.namePlaceholder")}
value={props.name}
defaultValue={props.name}
disabled={props.busy}
onChange={props.onNameChange}
onKeyDown={keyDown}
@@ -155,7 +155,7 @@ function ServerForm(props: ServerFormProps) {
type="text"
label={language.t("dialog.server.add.username")}
placeholder={language.t("dialog.server.add.usernamePlaceholder")}
value={props.username}
defaultValue={props.username}
disabled={props.busy}
onChange={props.onUsernameChange}
onKeyDown={keyDown}
@@ -164,7 +164,7 @@ function ServerForm(props: ServerFormProps) {
type="password"
label={language.t("dialog.server.add.password")}
placeholder={language.t("dialog.server.add.passwordPlaceholder")}
value={props.password}
defaultValue={props.password}
disabled={props.busy}
onChange={props.onPasswordChange}
onKeyDown={keyDown}
+6
View File
@@ -341,10 +341,13 @@ export const dict = {
"go.faq.a5.used": "مستخدَمة",
"go.faq.a5.notUsed": "غير مستخدَمة",
"go.faq.a5.noAgreement": "لا توجد اتفاقية",
"go.faq.a5.notZdr": "ليست ZDR",
"go.faq.a5.grokRetention":
"تعطّل ZDR ميزات API مهمة تعتمد على البيانات المخزنة، بما في ذلك Responses API ذات الحالة، وFiles and Collections، وBatch API.",
"go.faq.a5.gptRetention":
"تُنشأ سجلات مراقبة إساءة الاستخدام لكل استخدام لميزات API، ويُحتفظ بها لمدة تصل إلى 30 يومًا.",
"go.faq.a5.museRetention":
"أسعار توكنات مخفّضة للغاية مقابل منح الإذن باستخدام مطالباتك وإكمالات النموذج لتدريب نماذج Meta المستقبلية.",
"go.faq.a5.learnMore": "اعرف المزيد",
"go.faq.a5.deepseekRetention": "تُجدَّد اتفاقية ZDR شهريًا. الاتفاقية الحالية سارية حتى 31 أغسطس 2026.",
"go.faq.a5.beforeExceptions":
@@ -385,6 +388,9 @@ export const dict = {
"zen.api.error.modelDisabled": "النموذج معطل",
"zen.api.error.regionNotAllowed":
"لا يتوفر أحدث إصدار من هذا النموذج إلا مستضافًا في الصين، ويتطلب تفعيلًا صريحًا: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "هذا النموذج غير متاح في بلدك.",
"zen.api.error.trainingNotAllowed":
"يجمع هذا النموذج بيانات تُستخدم لتحسين جودته، ويتطلب موافقتك الصريحة: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"انتهى العرض المجاني لـ {{model}}. يمكنك مواصلة استخدام النموذج بالاشتراك في OpenCode Go - {{link}}",
+6
View File
@@ -348,10 +348,13 @@ export const dict = {
"go.faq.a5.used": "Usado",
"go.faq.a5.notUsed": "Não usado",
"go.faq.a5.noAgreement": "Sem acordo",
"go.faq.a5.notZdr": "Não é ZDR",
"go.faq.a5.grokRetention":
"O ZDR desativa recursos importantes da API que dependem de dados armazenados, incluindo a Responses API com estado, Files and Collections e a Batch API.",
"go.faq.a5.gptRetention":
"Logs de monitoramento de abuso são gerados para todo uso de recursos da API e retidos por até 30 dias.",
"go.faq.a5.museRetention":
"Preços de tokens com grandes descontos em troca da permissão para usar seus prompts e respostas geradas para treinar futuros modelos da Meta.",
"go.faq.a5.learnMore": "Saiba mais",
"go.faq.a5.deepseekRetention":
"O acordo de ZDR é renovado mensalmente. O acordo atual é válido até 31 de agosto de 2026.",
@@ -394,6 +397,9 @@ export const dict = {
"zen.api.error.modelDisabled": "O modelo está desabilitado",
"zen.api.error.regionNotAllowed":
"A versão mais recente deste modelo está disponível apenas com hospedagem na China e requer adesão explícita: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Este modelo não está disponível no seu país.",
"zen.api.error.trainingNotAllowed":
"Este modelo coleta dados usados para melhorar sua qualidade e exige seu consentimento explícito: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"A promoção gratuita do {{model}} terminou. Você pode continuar usando o modelo assinando o OpenCode Go - {{link}}",
+6
View File
@@ -345,10 +345,13 @@ export const dict = {
"go.faq.a5.used": "Brugt",
"go.faq.a5.notUsed": "Ikke brugt",
"go.faq.a5.noAgreement": "Ingen aftale",
"go.faq.a5.notZdr": "Ikke ZDR",
"go.faq.a5.grokRetention":
"ZDR deaktiverer vigtige API-funktioner, der afhænger af lagrede data, herunder den tilstandsbevarende Responses API, Files and Collections og Batch API.",
"go.faq.a5.gptRetention":
"Logfiler til overvågning af misbrug genereres ved al brug af API-funktioner og opbevares i op til 30 dage.",
"go.faq.a5.museRetention":
"Kraftigt nedsatte tokenpriser til gengæld for tilladelse til at bruge dine prompts og modelsvar til at træne fremtidige Meta-modeller.",
"go.faq.a5.learnMore": "Læs mere",
"go.faq.a5.deepseekRetention":
"ZDR-aftalen fornyes månedligt. Den nuværende aftale er gyldig til og med 31. august 2026.",
@@ -391,6 +394,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Modellen er deaktiveret",
"zen.api.error.regionNotAllowed":
"Den nyeste version af denne model er kun tilgængelig som hostet i Kina og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Denne model er ikke tilgængelig i dit land.",
"zen.api.error.trainingNotAllowed":
"Denne model indsamler data, der bruges til at forbedre dens kvalitet, og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"Den gratis kampagne for {{model}} er afsluttet. Du kan fortsætte med at bruge modellen ved at abonnere på OpenCode Go - {{link}}",
+6
View File
@@ -347,10 +347,13 @@ export const dict = {
"go.faq.a5.used": "Verwendet",
"go.faq.a5.notUsed": "Nicht verwendet",
"go.faq.a5.noAgreement": "Keine Vereinbarung",
"go.faq.a5.notZdr": "Kein ZDR",
"go.faq.a5.grokRetention":
"ZDR deaktiviert wichtige API-Funktionen, die von gespeicherten Daten abhängen, einschließlich der zustandsbehafteten Responses API, Files and Collections und der Batch API.",
"go.faq.a5.gptRetention":
"Für die Nutzung aller API-Funktionen werden Protokolle zur Missbrauchsüberwachung erstellt und bis zu 30 Tage lang aufbewahrt.",
"go.faq.a5.museRetention":
"Stark vergünstigte Tokenpreise im Gegenzug für die Erlaubnis, deine Prompts und Vervollständigungen zum Trainieren zukünftiger Meta-Modelle zu verwenden.",
"go.faq.a5.learnMore": "Mehr erfahren",
"go.faq.a5.deepseekRetention":
"Die ZDR-Vereinbarung wird monatlich erneuert. Die aktuelle Vereinbarung gilt bis einschließlich 31. August 2026.",
@@ -393,6 +396,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Modell ist deaktiviert",
"zen.api.error.regionNotAllowed":
"Die neueste Version dieses Modells ist nur verfügbar, wenn sie in China gehostet wird, und muss ausdrücklich aktiviert werden: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Dieses Modell ist in deinem Land nicht verfügbar.",
"zen.api.error.trainingNotAllowed":
"Dieses Modell erfasst Daten, die zur Verbesserung seiner Qualität verwendet werden, und erfordert deine ausdrückliche Zustimmung: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"Die kostenlose Aktion für {{model}} ist beendet. Du kannst das Modell weiterhin nutzen, indem du OpenCode Go abonnierst - {{link}}",
+8 -1
View File
@@ -343,10 +343,13 @@ export const dict = {
"go.faq.a5.used": "Used",
"go.faq.a5.notUsed": "Not used",
"go.faq.a5.noAgreement": "No agreement",
"go.faq.a5.notZdr": "Not ZDR",
"go.faq.a5.grokRetention":
"ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API.",
"go.faq.a5.gptRetention":
"Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days.",
"go.faq.a5.museRetention":
"Heavily discounted token pricing in exchange for permission to use your prompts and completions to train future Meta models.",
"go.faq.a5.deepseekRetention":
"ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.",
"go.faq.a5.learnMore": "Learn more",
@@ -390,6 +393,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Model is disabled",
"zen.api.error.regionNotAllowed":
"The latest version of this model is only available hosted in China and requires explicit opt in: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "This model is not available in your country.",
"zen.api.error.trainingNotAllowed":
"This model collects data used to improve its quality and requires explicit opt in: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"Free promotion has ended for {{model}}. You can continue using the model by subscribing to OpenCode Go - {{link}}",
@@ -671,7 +677,8 @@ export const dict = {
'Select "OpenCode Go" as the provider in your opencode configuration to use Go models.',
"workspace.lite.providers.title": "Providers",
"workspace.lite.providers.description": "Control which providers are used for routing.",
"workspace.lite.providers.useChina": "Enable models hosted in China",
"workspace.lite.providers.allowTraining": "Allow models that train on request data",
"workspace.lite.providers.useChina": "Allow models hosted in China",
"workspace.lite.black.message":
"You're currently subscribed to OpenCode Black or on the waitlist. Please unsubscribe first if you'd like to switch to Go.",
"workspace.lite.other.message":
+6
View File
@@ -348,10 +348,13 @@ export const dict = {
"go.faq.a5.used": "Utilizado",
"go.faq.a5.notUsed": "No utilizado",
"go.faq.a5.noAgreement": "Sin acuerdo",
"go.faq.a5.notZdr": "Sin ZDR",
"go.faq.a5.grokRetention":
"ZDR deshabilita funciones importantes de la API que dependen de datos almacenados, incluidas la Responses API con estado, Files and Collections y la Batch API.",
"go.faq.a5.gptRetention":
"Se generan registros de supervisión de abusos para todo el uso de funciones de la API y se conservan durante un máximo de 30 días.",
"go.faq.a5.museRetention":
"Precios de tokens muy reducidos a cambio de permitir que tus prompts y las respuestas generadas se utilicen para entrenar futuros modelos de Meta.",
"go.faq.a5.learnMore": "Más información",
"go.faq.a5.deepseekRetention":
"El acuerdo de ZDR se renueva mensualmente. El acuerdo actual es válido hasta el 31 de agosto de 2026.",
@@ -394,6 +397,9 @@ export const dict = {
"zen.api.error.modelDisabled": "El modelo está deshabilitado",
"zen.api.error.regionNotAllowed":
"La versión más reciente de este modelo solo está disponible alojada en China y requiere una aceptación explícita: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Este modelo no está disponible en tu país.",
"zen.api.error.trainingNotAllowed":
"Este modelo recopila datos que se utilizan para mejorar su calidad y requiere tu consentimiento explícito: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"La promoción gratuita de {{model}} ha finalizado. Puedes seguir usando el modelo suscribiéndote a OpenCode Go - {{link}}",
+6
View File
@@ -349,10 +349,13 @@ export const dict = {
"go.faq.a5.used": "Utilisé",
"go.faq.a5.notUsed": "Non utilisé",
"go.faq.a5.noAgreement": "Aucun accord",
"go.faq.a5.notZdr": "Pas de ZDR",
"go.faq.a5.grokRetention":
"Le ZDR désactive d'importantes fonctionnalités API qui dépendent des données stockées, notamment Responses API avec état, Files and Collections et Batch API.",
"go.faq.a5.gptRetention":
"Des journaux de surveillance des abus sont générés pour toute utilisation des fonctionnalités API et conservés pendant un maximum de 30 jours.",
"go.faq.a5.museRetention":
"Des tarifs de tokens fortement réduits en échange de lautorisation dutiliser vos prompts et vos complétions pour entraîner de futurs modèles Meta.",
"go.faq.a5.learnMore": "En savoir plus",
"go.faq.a5.deepseekRetention":
"Laccord ZDR est renouvelé chaque mois. Laccord actuel est valable jusquau 31 août 2026.",
@@ -395,6 +398,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Le modèle est désactivé",
"zen.api.error.regionNotAllowed":
"La dernière version de ce modèle est uniquement disponible avec un hébergement en Chine et nécessite votre consentement explicite : {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Ce modèle nest pas disponible dans votre pays.",
"zen.api.error.trainingNotAllowed":
"Ce modèle collecte des données utilisées pour améliorer sa qualité et nécessite votre consentement explicite : {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"La promotion gratuite de {{model}} est terminée. Vous pouvez continuer à utiliser le modèle en vous abonnant à OpenCode Go - {{link}}",
+6
View File
@@ -344,6 +344,7 @@ export const dict = {
"go.faq.a5.used": "Utilizzato",
"go.faq.a5.notUsed": "Non utilizzato",
"go.faq.a5.noAgreement": "Nessun accordo",
"go.faq.a5.notZdr": "Non ZDR",
"go.faq.a5.grokRetention":
"ZDR disabilita importanti funzionalità API che dipendono dai dati archiviati, tra cui la Responses API con stato, Files and Collections e Batch API.",
"go.faq.a5.gptRetention":
@@ -351,6 +352,8 @@ export const dict = {
"go.faq.a5.learnMore": "Scopri di più",
"go.faq.a5.deepseekRetention":
"L'accordo ZDR viene rinnovato mensilmente. L'accordo attuale è valido fino al 31 agosto 2026.",
"go.faq.a5.museRetention":
"Prezzi dei token fortemente scontati in cambio dell'autorizzazione a utilizzare i tuoi prompt e completamenti per addestrare futuri modelli Meta.",
"go.faq.a5.beforeExceptions":
"I modelli Go sono ospitati negli Stati Uniti. I provider seguono una policy di zero-retention e non usano i tuoi dati per l'addestramento dei modelli, con le",
"go.faq.a5.exceptionsLink": "seguenti eccezioni",
@@ -390,6 +393,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Il modello è disabilitato",
"zen.api.error.regionNotAllowed":
"La versione più recente di questo modello è disponibile solo con hosting in Cina e richiede un consenso esplicito: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Questo modello non è disponibile nel tuo paese.",
"zen.api.error.trainingNotAllowed":
"Questo modello raccoglie dati utilizzati per migliorarne la qualità e richiede il tuo consenso esplicito: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"La promozione gratuita di {{model}} è terminata. Puoi continuare a usare il modello abbonandoti a OpenCode Go - {{link}}",
+6
View File
@@ -344,9 +344,12 @@ export const dict = {
"go.faq.a5.used": "使用あり",
"go.faq.a5.notUsed": "使用なし",
"go.faq.a5.noAgreement": "契約なし",
"go.faq.a5.notZdr": "ZDRではない",
"go.faq.a5.grokRetention":
"ZDRでは、保存データに依存する重要なAPI機能(ステートフルなResponses API、Files and Collections、Batch APIなど)が無効になります。",
"go.faq.a5.gptRetention": "不正使用監視ログはすべてのAPI機能の使用時に生成され、最大30日間保持されます。",
"go.faq.a5.museRetention":
"将来のMetaモデルのトレーニングにプロンプトと生成結果を使用する許可と引き換えに、トークン料金が大幅に割引されます。",
"go.faq.a5.learnMore": "詳しく見る",
"go.faq.a5.deepseekRetention": "ZDR契約は毎月更新されます。現在の契約は2026年8月31日まで有効です。",
"go.faq.a5.beforeExceptions":
@@ -389,6 +392,9 @@ export const dict = {
"zen.api.error.modelDisabled": "モデルが無効です",
"zen.api.error.regionNotAllowed":
"このモデルの最新バージョンは中国でのみホスト提供されており、利用するには明示的なオプトインが必要です: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "このモデルはお住まいの国では利用できません。",
"zen.api.error.trainingNotAllowed":
"このモデルは品質向上のためのデータを収集します。利用するには明示的な同意が必要です: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"{{model}} の無料プロモーションは終了しました。OpenCode Go を購読するとモデルを引き続き使用できます - {{link}}",
+6
View File
@@ -340,9 +340,12 @@ export const dict = {
"go.faq.a5.used": "사용됨",
"go.faq.a5.notUsed": "사용되지 않음",
"go.faq.a5.noAgreement": "합의 없음",
"go.faq.a5.notZdr": "ZDR 아님",
"go.faq.a5.grokRetention":
"ZDR은 저장된 데이터에 의존하는 중요한 API 기능(상태 저장형 Responses API, Files and Collections, Batch API 포함)을 비활성화합니다.",
"go.faq.a5.gptRetention": "모든 API 기능 사용에 대해 악용 모니터링 로그가 생성되며 최대 30일 동안 보존됩니다.",
"go.faq.a5.museRetention":
"향후 Meta 모델 학습에 사용자의 프롬프트와 생성 결과를 사용할 수 있도록 허용하는 대신 토큰 가격이 대폭 할인됩니다.",
"go.faq.a5.learnMore": "자세히 알아보기",
"go.faq.a5.deepseekRetention": "ZDR 계약은 매월 갱신됩니다. 현재 계약은 2026년 8월 31일까지 유효합니다.",
"go.faq.a5.beforeExceptions":
@@ -383,6 +386,9 @@ export const dict = {
"zen.api.error.modelDisabled": "모델이 비활성화되었습니다",
"zen.api.error.regionNotAllowed":
"이 모델의 최신 버전은 중국에서 호스팅되는 경우에만 사용할 수 있으며, 명시적으로 사용에 동의해야 합니다: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "이 모델은 거주 국가에서 사용할 수 없습니다.",
"zen.api.error.trainingNotAllowed":
"이 모델은 품질 개선에 사용되는 데이터를 수집하며, 사용하려면 명시적으로 동의해야 합니다: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"{{model}}의 무료 프로모션이 종료되었습니다. OpenCode Go를 구독하면 모델을 계속 사용할 수 있습니다 - {{link}}",
+6
View File
@@ -345,6 +345,7 @@ export const dict = {
"go.faq.a5.used": "Brukes",
"go.faq.a5.notUsed": "Brukes ikke",
"go.faq.a5.noAgreement": "Ingen avtale",
"go.faq.a5.notZdr": "Ikke ZDR",
"go.faq.a5.grokRetention":
"ZDR deaktiverer viktige API-funksjoner som er avhengige av lagrede data, inkludert den tilstandsbaserte Responses API, Files and Collections og Batch API.",
"go.faq.a5.gptRetention":
@@ -352,6 +353,8 @@ export const dict = {
"go.faq.a5.learnMore": "Les mer",
"go.faq.a5.deepseekRetention":
"ZDR-avtalen fornyes månedlig. Den gjeldende avtalen er gyldig til og med 31. august 2026.",
"go.faq.a5.museRetention":
"Kraftig rabatterte tokenpriser i bytte mot tillatelse til å bruke ledetekstene og fullføringene dine til å trene fremtidige Meta-modeller.",
"go.faq.a5.beforeExceptions":
"Go-modeller hostes i USA. Leverandører følger en policy om null oppbevaring og bruker ikke dataene dine til modelltrening, med",
@@ -392,6 +395,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Modellen er deaktivert",
"zen.api.error.regionNotAllowed":
"Den nyeste versjonen av denne modellen er bare tilgjengelig som en tjeneste driftet i Kina og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Denne modellen er ikke tilgjengelig i landet ditt.",
"zen.api.error.trainingNotAllowed":
"Denne modellen samler inn data som brukes til å forbedre modellens kvalitet, og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"Den gratis kampanjen for {{model}} er avsluttet. Du kan fortsette å bruke modellen ved å abonnere på OpenCode Go - {{link}}",
+6
View File
@@ -346,12 +346,15 @@ export const dict = {
"go.faq.a5.used": "Wykorzystywane",
"go.faq.a5.notUsed": "Niewykorzystywane",
"go.faq.a5.noAgreement": "Brak umowy",
"go.faq.a5.notZdr": "Nie ZDR",
"go.faq.a5.grokRetention":
"ZDR wyłącza ważne funkcje API zależne od przechowywanych danych, w tym stanowy Responses API, Files and Collections oraz Batch API.",
"go.faq.a5.gptRetention":
"Dzienniki monitorowania nadużyć są generowane dla każdego użycia funkcji API i przechowywane przez maksymalnie 30 dni.",
"go.faq.a5.learnMore": "Dowiedz się więcej",
"go.faq.a5.deepseekRetention": "Umowa ZDR jest odnawiana co miesiąc. Obecna umowa obowiązuje do 31 sierpnia 2026 r.",
"go.faq.a5.museRetention":
"Znacznie obniżone ceny tokenów w zamian za zgodę na wykorzystanie Twoich promptów i odpowiedzi do trenowania przyszłych modeli Meta.",
"go.faq.a5.beforeExceptions":
"Modele Go są hostowane w USA. Dostawcy stosują politykę zerowej retencji i nie używają Twoich danych do trenowania modeli, z",
@@ -392,6 +395,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Model jest wyłączony",
"zen.api.error.regionNotAllowed":
"Najnowsza wersja tego modelu jest dostępna wyłącznie jako usługa hostowana w Chinach i wymaga jawnej zgody użytkownika: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Ten model nie jest dostępny w Twoim kraju.",
"zen.api.error.trainingNotAllowed":
"Ten model zbiera dane wykorzystywane do poprawy jego jakości i wymaga wyraźnej zgody użytkownika: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"Bezpłatna promocja {{model}} dobiegła końca. Możesz dalej korzystać z modelu, subskrybując OpenCode Go - {{link}}",
+6
View File
@@ -350,6 +350,7 @@ export const dict = {
"go.faq.a5.used": "Используется",
"go.faq.a5.notUsed": "Не используется",
"go.faq.a5.noAgreement": "Нет соглашения",
"go.faq.a5.notZdr": "Не ZDR",
"go.faq.a5.grokRetention":
"ZDR отключает важные функции API, зависящие от сохраненных данных, включая Responses API с сохранением состояния, Files and Collections и Batch API.",
"go.faq.a5.gptRetention":
@@ -357,6 +358,8 @@ export const dict = {
"go.faq.a5.learnMore": "Подробнее",
"go.faq.a5.deepseekRetention":
"Соглашение ZDR продлевается ежемесячно. Текущее соглашение действует до 31 августа 2026 года.",
"go.faq.a5.museRetention":
"Значительно сниженная стоимость токенов в обмен на разрешение использовать ваши промпты и ответы для обучения будущих моделей Meta.",
"go.faq.a5.beforeExceptions":
"Модели Go размещены в США. Провайдеры следуют политике нулевого хранения и не используют ваши данные для обучения моделей, за",
@@ -397,6 +400,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Модель отключена",
"zen.api.error.regionNotAllowed":
"Последняя версия этой модели размещена только в Китае. Чтобы использовать её, необходимо явно подтвердить согласие: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Эта модель недоступна в вашей стране.",
"zen.api.error.trainingNotAllowed":
"Эта модель собирает данные, которые используются для улучшения её качества, и требует явного согласия: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"Бесплатная акция для {{model}} завершена. Вы можете продолжить использование модели, подписавшись на OpenCode Go - {{link}}",
+6
View File
@@ -342,10 +342,13 @@ export const dict = {
"go.faq.a5.used": "นำไปใช้",
"go.faq.a5.notUsed": "ไม่นำไปใช้",
"go.faq.a5.noAgreement": "ไม่มีข้อตกลง",
"go.faq.a5.notZdr": "ไม่ใช่ ZDR",
"go.faq.a5.grokRetention":
"ZDR ปิดใช้งานฟีเจอร์ API สำคัญที่ต้องอาศัยข้อมูลที่จัดเก็บไว้ ซึ่งรวมถึง Responses API แบบมีสถานะ, Files and Collections และ Batch API",
"go.faq.a5.gptRetention":
"ระบบจะสร้างบันทึกการตรวจสอบการใช้งานในทางที่ผิดสำหรับการใช้งานฟีเจอร์ API ทั้งหมด และเก็บรักษาไว้นานสูงสุด 30 วัน",
"go.faq.a5.museRetention":
"ราคาของ token ลดลงอย่างมาก โดยแลกกับการอนุญาตให้นำพรอมต์และผลลัพธ์ที่สร้างขึ้นของคุณไปใช้ฝึกโมเดล Meta ในอนาคต",
"go.faq.a5.learnMore": "ดูข้อมูลเพิ่มเติม",
"go.faq.a5.deepseekRetention": "ข้อตกลง ZDR จะต่ออายุทุกเดือน ข้อตกลงปัจจุบันมีผลใช้ถึงวันที่ 31 สิงหาคม 2026",
@@ -387,6 +390,9 @@ export const dict = {
"zen.api.error.modelDisabled": "โมเดลถูกปิดใช้งาน",
"zen.api.error.regionNotAllowed":
"โมเดลเวอร์ชันล่าสุดนี้ให้บริการเฉพาะผ่านระบบที่โฮสต์ในประเทศจีน และต้องให้ความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "โมเดลนี้ไม่พร้อมให้บริการในประเทศของคุณ",
"zen.api.error.trainingNotAllowed":
"โมเดลนี้เก็บรวบรวมข้อมูลที่ใช้เพื่อปรับปรุงคุณภาพของโมเดล และต้องได้รับความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"โปรโมชันฟรีสำหรับ {{model}} สิ้นสุดแล้ว คุณสามารถใช้โมเดลต่อได้โดยสมัครสมาชิก OpenCode Go - {{link}}",
+6
View File
@@ -348,6 +348,7 @@ export const dict = {
"go.faq.a5.used": "Kullanılır",
"go.faq.a5.notUsed": "Kullanılmaz",
"go.faq.a5.noAgreement": "Anlaşma yok",
"go.faq.a5.notZdr": "ZDR değil",
"go.faq.a5.grokRetention":
"ZDR, durum bilgisi tutan Responses API, Files and Collections ve Batch API dahil olmak üzere saklanan verilere bağlı önemli API özelliklerini devre dışı bırakır.",
"go.faq.a5.gptRetention":
@@ -355,6 +356,8 @@ export const dict = {
"go.faq.a5.learnMore": "Daha fazla bilgi",
"go.faq.a5.deepseekRetention":
"ZDR anlaşması aylık olarak yenilenir. Mevcut anlaşma 31 Ağustos 2026 tarihine kadar geçerlidir.",
"go.faq.a5.museRetention":
"İstemlerinizi ve tamamlamalarınızı gelecekteki Meta modellerini eğitmek için kullanma izni karşılığında büyük ölçüde indirimli token fiyatları.",
"go.faq.a5.beforeExceptions":
"Go modelleri ABD'de barındırılmaktadır. Sağlayıcılar sıfır saklama politikası izler ve verilerinizi model eğitimi için kullanmaz; şu",
@@ -395,6 +398,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Model devre dışı",
"zen.api.error.regionNotAllowed":
"Bu modelin en son sürümü yalnızca Çin'de barındırılıyor ve kullanabilmek için açıkça onay vermeniz gerekiyor: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Bu model ülkenizde kullanılamıyor.",
"zen.api.error.trainingNotAllowed":
"Bu model, kalitesini artırmak için kullanılan verileri toplar. Modeli kullanabilmek için açıkça onay vermeniz gerekir: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"{{model}} için ücretsiz promosyon sona erdi. OpenCode Go'ya abone olarak modeli kullanmaya devam edebilirsiniz - {{link}}",
+6
View File
@@ -346,12 +346,15 @@ export const dict = {
"go.faq.a5.used": "Використовується",
"go.faq.a5.notUsed": "Не використовується",
"go.faq.a5.noAgreement": "Немає угоди",
"go.faq.a5.notZdr": "Не ZDR",
"go.faq.a5.grokRetention":
"ZDR вимикає важливі функції API, які залежать від збережених даних, зокрема Responses API зі збереженням стану, Files and Collections та Batch API.",
"go.faq.a5.gptRetention":
"Журнали моніторингу зловживань створюються для всіх випадків використання функцій API та зберігаються до 30 днів.",
"go.faq.a5.learnMore": "Докладніше",
"go.faq.a5.deepseekRetention": "Угода ZDR поновлюється щомісяця. Поточна угода дійсна до 31 серпня 2026 року.",
"go.faq.a5.museRetention":
"Значно знижені ціни на токени в обмін на дозвіл використовувати ваші промпти та відповіді для навчання майбутніх моделей Meta.",
"go.faq.a5.beforeExceptions":
"Моделі Go розміщені в США. Провайдери дотримуються політики нульового зберігання та не використовують ваші дані для навчання моделей, за",
@@ -391,6 +394,9 @@ export const dict = {
"zen.api.error.modelDisabled": "Модель вимкнено",
"zen.api.error.regionNotAllowed":
"Остання версія цієї моделі доступна лише на серверах у Китаї, і для її використання потрібно надати явну згоду: {{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "Ця модель недоступна у вашій країні.",
"zen.api.error.trainingNotAllowed":
"Ця модель збирає дані, які використовуються для покращення її якості; для її використання потрібна ваша явна згода: {{consoleGoUrl}}",
"zen.api.error.trialEnded":
"Безкоштовна акція для {{model}} закінчилася. Ви можете продовжити використання, підписавшись на OpenCode Go — {{link}}",
+4
View File
@@ -328,9 +328,11 @@ export const dict = {
"go.faq.a5.used": "使用",
"go.faq.a5.notUsed": "不使用",
"go.faq.a5.noAgreement": "无协议",
"go.faq.a5.notZdr": "非 ZDR",
"go.faq.a5.grokRetention":
"ZDR 会禁用依赖所存储数据的重要 API 功能,包括有状态的 Responses API、Files and Collections 和 Batch API。",
"go.faq.a5.gptRetention": "所有 API 功能的使用都会生成滥用监控日志,并最多保留 30 天。",
"go.faq.a5.museRetention": "以允许使用你的提示词和补全结果训练未来的 Meta 模型为交换,token 价格可获得大幅折扣。",
"go.faq.a5.learnMore": "了解更多",
"go.faq.a5.deepseekRetention": "ZDR 协议每月续签。当前协议有效期至 2026 年 8 月 31 日。",
"go.faq.a5.beforeExceptions": "Go 模型托管在美国。提供商遵循零留存政策,不使用您的数据进行模型训练,",
@@ -368,6 +370,8 @@ export const dict = {
"zen.api.error.userMonthlyLimitReached": "您已达到每月支出限额 ${{amount}}。请在此处管理您的限额:{{membersUrl}}",
"zen.api.error.modelDisabled": "模型已禁用",
"zen.api.error.regionNotAllowed": "该模型的最新版本仅在中国提供托管服务,需明确选择启用:{{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "该模型在你所在的国家或地区不可用。",
"zen.api.error.trainingNotAllowed": "该模型会收集用于提升其质量的数据,使用前需要你明确同意:{{consoleGoUrl}}",
"zen.api.error.trialEnded": "{{model}} 的限免活动已结束。您可以订阅 OpenCode Go 继续使用该模型 - {{link}}",
"black.meta.title": "OpenCode Black | 访问全球顶尖编程模型",
+4
View File
@@ -328,9 +328,11 @@ export const dict = {
"go.faq.a5.used": "使用",
"go.faq.a5.notUsed": "不使用",
"go.faq.a5.noAgreement": "無協議",
"go.faq.a5.notZdr": "非 ZDR",
"go.faq.a5.grokRetention":
"ZDR 會停用依賴儲存資料的重要 API 功能,包括具狀態的 Responses API、Files and Collections 與 Batch API。",
"go.faq.a5.gptRetention": "所有 API 功能的使用都會產生濫用監控日誌,並保留最多 30 天。",
"go.faq.a5.museRetention": "以允許使用您的提示詞和生成結果來訓練未來的 Meta 模型為交換,token 價格可享大幅折扣。",
"go.faq.a5.learnMore": "了解更多",
"go.faq.a5.deepseekRetention": "ZDR 協議每月續簽。目前的協議有效至 2026 年 8 月 31 日。",
"go.faq.a5.beforeExceptions": "Go 模型託管在美國。供應商遵循零留存政策,不會將你的資料用於模型訓練,但有",
@@ -368,6 +370,8 @@ export const dict = {
"zen.api.error.userMonthlyLimitReached": "你已達到每月支出限額 ${{amount}}。請在此處管理你的限額:{{membersUrl}}",
"zen.api.error.modelDisabled": "模型已停用",
"zen.api.error.regionNotAllowed": "此模型的最新版本僅於中國託管,且需明確選擇啟用:{{consoleGoUrl}}",
"zen.api.error.countryNotAllowed": "此模型無法在你所在的國家或地區使用。",
"zen.api.error.trainingNotAllowed": "此模型會收集用於提升其品質的資料,使用前須經你明確同意:{{consoleGoUrl}}",
"zen.api.error.trialEnded": "{{model}} 的限免活动已結束。您可以訂閱 OpenCode Go 繼續使用該模型 - {{link}}",
"black.meta.title": "OpenCode Black | 存取全球最佳編碼模型",
@@ -1,5 +1,78 @@
const MUSE_SPARK_BLOCKED_COUNTRIES = new Set([
"AD",
"AF",
"AT",
"AU",
"BE",
"BG",
"BR",
"BY",
"CA",
"CH",
"CN",
"CU",
"CY",
"CZ",
"DE",
"DK",
"EE",
"EH",
"ER",
"ES",
"ET",
"FI",
"FR",
"GB",
"GR",
"HK",
"HR",
"HT",
"HU",
"IE",
"IQ",
"IR",
"IS",
"IT",
"KH",
"KP",
"KR",
"LI",
"LT",
"LU",
"LV",
"LY",
"MC",
"MM",
"MO",
"MT",
"NI",
"NL",
"NO",
"PK",
"PL",
"PT",
"RO",
"RU",
"SE",
"SI",
"SK",
"SM",
"SO",
"SY",
"VA",
"VE",
])
export function countryFromRequest(request: Request | undefined) {
if (!request) return undefined
const cloudflareRequest = request as Request & { cf?: { country?: string } }
return cloudflareRequest.cf?.country ?? request.headers.get("cf-ipcountry") ?? undefined
}
export function isModelCountryRestricted(model: string, country: string | undefined) {
return (
model === "muse-spark-1.2-contributor" &&
country !== undefined &&
MUSE_SPARK_BLOCKED_COUNTRIES.has(country.toUpperCase())
)
}
@@ -597,18 +597,6 @@ body {
font-weight: 600;
white-space: nowrap;
}
[data-bonus] {
color: var(--color-text-weak);
font-size: 12px;
font-weight: 400;
line-height: 1;
white-space: nowrap;
@media (max-width: 40rem) {
display: none;
}
}
}
[data-slot="plot-labels"] {
@@ -684,10 +672,6 @@ body {
stroke: none;
}
[data-bar][data-kind="promo"] {
fill: color-mix(in srgb, var(--bar-go) 50%, transparent);
}
[data-val] {
fill: var(--color-text-strong);
font-size: 13px;
+13 -16
View File
@@ -39,6 +39,7 @@ const models = [
{ name: "Qwen3.6 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "MiniMax M3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "MiniMax M2.7", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "Muse Spark 1.2 Contributor", training: "go.faq.a5.used", retention: "go.faq.a5.notZdr" },
{ name: "DeepSeek V4 Pro", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "DeepSeek V4 Flash", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "Hy3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
@@ -73,11 +74,12 @@ function LimitsGraph(props: { href: string }) {
{ 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-flash", name: "DeepSeek V4 Flash", req: 3800, d: "270ms" },
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", req: 4100, baseReq: 2050, d: "290ms" },
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", req: 2050, d: "290ms" },
{ id: "qwen3.7-plus", name: "Qwen3.7 Plus", req: 4300, d: "300ms" },
{ id: "hy3", name: "Hy3", req: 4300, d: "320ms" },
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, edge: true, d: "340ms" },
{ id: "deepseek-v4-flash", name: "DeepSeek V4 Flash", req: 7600, d: "330ms" },
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, d: "340ms" },
{ id: "muse-spark-1.2-contributor", name: "Muse Spark 1.2 Contributor", req: 45300, edge: true, d: "360ms" },
]
const w = 1040
@@ -151,23 +153,12 @@ function LimitsGraph(props: { href: string }) {
<rect
x={left}
y={gy(i()) - bh / 2}
width={Math.max(0, x(ratio(m.baseReq ?? m.req)) - left)}
width={Math.max(0, x(ratio(m.req)) - left)}
height={bh}
data-bar
data-kind="go"
data-model={m.id}
/>
{m.baseReq && (
<rect
x={x(ratio(m.baseReq)) + 2}
y={gy(i()) - bh / 2}
width={Math.max(0, x(ratio(m.req)) - x(ratio(m.baseReq)) - 2)}
height={bh}
data-bar
data-kind="promo"
data-model={m.id}
/>
)}
</g>
)}
</For>
@@ -202,7 +193,6 @@ function LimitsGraph(props: { href: string }) {
>
<span data-value>{m.req.toLocaleString()}</span>
<span data-name>{m.name}</span>
{m.baseReq && <span data-bonus>2x usage</span>}
</span>
)}
</For>
@@ -505,6 +495,13 @@ export default function Home() {
</a>
.
</p>
<p>
<strong>Muse Spark 1.2 Contributor:</strong> {i18n.t("go.faq.a5.museRetention")}{" "}
<a href="https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier">
{i18n.t("go.faq.a5.learnMore")}
</a>
.
</p>
<p>
<strong>DeepSeek V4 Flash:</strong> {i18n.t("go.faq.a5.deepseekRetention")}
</p>
@@ -106,6 +106,7 @@
[data-slot="setting-row"] {
margin-top: 0;
padding-block: var(--space-2);
}
}
@@ -39,6 +39,7 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
timeCreated: LiteTable.timeCreated,
lite: BillingTable.lite,
region: WorkspaceTable.region,
allowTraining: WorkspaceTable.allow_training,
})
.from(BillingTable)
.innerJoin(LiteTable, eq(LiteTable.workspaceID, BillingTable.workspaceID))
@@ -54,6 +55,7 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
return {
mine,
useBalance: row.lite?.useBalance ?? false,
allowTraining: row.allowTraining ?? false,
region:
row.region ?? (await Workspace.setDefaultRegion({ country: countryFromRequest(getRequestEvent()?.request) })),
rollingUsage: Subscription.analyzeRollingUsage({
@@ -154,6 +156,24 @@ const setGoProviderRouting = action(async (form: FormData) => {
)
}, "go.providerRouting.set")
const setGoAllowTraining = action(async (form: FormData) => {
"use server"
const workspaceID = form.get("workspaceID") as string | null
if (!workspaceID) return { error: formError.workspaceRequired }
const allowTraining = (form.get("allowTraining") as string | null) === "true"
return json(
await withActor(
() =>
Workspace.update({ allow_training: allowTraining })
.then(() => ({ error: undefined }))
.catch((e) => ({ error: e.message as string })),
workspaceID,
),
{ revalidate: queryLiteSubscription.key },
)
}, "go.allowTraining.set")
function LiteUsageItem(props: { label: string; usage: { usagePercent: number; resetInSec: number } }) {
const i18n = useI18n()
@@ -186,6 +206,7 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
const checkoutSubmission = useSubmission(createLiteCheckoutUrl)
const useBalanceSubmission = useSubmission(setLiteUseBalance)
const providerRoutingSubmission = useSubmission(setGoProviderRouting)
const allowTrainingSubmission = useSubmission(setGoAllowTraining)
const [store, setStore] = createStore({
loading: undefined as undefined | "session" | "checkout" | "alipay" | "upi",
showModal: false,
@@ -264,6 +285,20 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
<h3>{i18n.t("workspace.lite.providers.title")}</h3>
<p>{i18n.t("workspace.lite.providers.description")}</p>
</div>
<form action={setGoAllowTraining} method="post" data-slot="setting-row">
<p>{i18n.t("workspace.lite.providers.allowTraining")}</p>
<input type="hidden" name="workspaceID" value={params.id} />
<input type="hidden" name="allowTraining" value={sub().allowTraining ? "false" : "true"} />
<label data-slot="toggle-label">
<input
type="checkbox"
checked={sub().allowTraining}
disabled={allowTrainingSubmission.pending}
onChange={(e) => e.currentTarget.form?.requestSubmit()}
/>
<span></span>
</label>
</form>
<form action={setGoProviderRouting} method="post" data-slot="setting-row">
<p>{i18n.t("workspace.lite.providers.useChina")}</p>
<input type="hidden" name="workspaceID" value={params.id} />
@@ -314,6 +349,7 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
<li>Kimi K2.6</li>
<li>MiniMax M3</li>
<li>MiniMax M2.7</li>
<li>Muse Spark 1.2 Contributor</li>
<li>Qwen3.8 Max</li>
<li>Qwen3.7 Max</li>
<li>Qwen3.7 Plus</li>
@@ -4,6 +4,7 @@ export class MonthlyLimitError extends Error {}
export class UserLimitError extends Error {}
export class ModelError extends Error {}
export class RegionError extends Error {}
export class DataPolicyError extends Error {}
class LimitError extends Error {
retryAfter?: number
@@ -22,6 +22,7 @@ import {
UserLimitError,
ModelError,
RegionError,
DataPolicyError,
RateLimitError,
FreeUsageLimitError,
GoUsageLimitError,
@@ -51,7 +52,7 @@ import { createModelTpsLimiter } from "./modelTpsLimiter"
import { createProviderBudgetTracker } from "./providerBudgetTracker"
import { accumulateUsage, HOT_WORKSPACES } from "./usageBatcher"
import { Workspace } from "@opencode-ai/console-core/workspace.js"
import { countryFromRequest } from "~/lib/request-country"
import { countryFromRequest, isModelCountryRestricted } from "~/lib/request-country"
type ZenData = Awaited<ReturnType<typeof ZenData.list>>
type RetryOptions = {
@@ -121,6 +122,8 @@ export async function handler(
})
const zenData = ZenData.list(opts.modelList)
const modelInfo = validateModel(zenData, model)
const country = countryFromRequest(input.request)
if (isModelCountryRestricted(modelInfo.id, country)) throw new RegionError(t("zen.api.error.countryNotAllowed"))
const trialLimiter = createTrialLimiter(modelInfo.trialProvider, ip)
const trialProviders = await trialLimiter?.check()
const rateLimiter = modelInfo.allowAnonymous
@@ -128,12 +131,23 @@ export async function handler(
: createKeyRateLimiter(modelInfo.id, modelInfo.rateLimit, zenApiKey, input.request)
await rateLimiter?.check()
const authInfo = await authenticate(modelInfo, zenApiKey)
if (
authInfo &&
opts.modelList === "lite" &&
modelInfo.id === "muse-spark-1.2-contributor" &&
!authInfo.allowTraining
)
throw new DataPolicyError(
t("zen.api.error.trainingNotAllowed", {
consoleGoUrl: `https://opencode.ai/workspace/${authInfo.workspaceID}/go`,
}),
)
const allowedRegions = authInfo?.region
? authInfo.region
: await (async () => {
if (!authInfo) return
return Actor.provide("system", { workspaceID: authInfo.workspaceID }, () =>
Workspace.setDefaultRegion({ country: countryFromRequest(input.request) }),
Workspace.setDefaultRegion({ country }),
)
})()
if (
@@ -247,7 +261,7 @@ export async function handler(
headers.delete("host")
headers.delete("content-length")
headers.delete("x-opencode-request")
headers.delete("x-opencode-session")
if (!isNewInference) headers.delete("x-opencode-session")
headers.delete("x-opencode-project")
headers.delete("x-opencode-client")
return headers
@@ -477,7 +491,7 @@ export async function handler(
} catch {}
}
if (error instanceof RegionError)
if (error instanceof RegionError || error instanceof DataPolicyError)
return new Response(
JSON.stringify({
type: "error",
@@ -708,6 +722,7 @@ export async function handler(
workspace: {
id: WorkspaceTable.id,
region: WorkspaceTable.region,
allowTraining: WorkspaceTable.allow_training,
isBlocked: WorkspaceTable.is_blocked,
isFlaggedByAnthropic: WorkspaceTable.is_flagged_by_anthropic,
isFlaggedByOpenAI: WorkspaceTable.is_flagged_by_openai,
@@ -820,6 +835,7 @@ export async function handler(
apiKeyId: data.apiKey,
workspaceID: data.workspace.id,
region: data.workspace.region,
allowTraining: data.workspace.allowTraining ?? false,
billing: data.billing,
user: data.user,
black: data.black,
@@ -0,0 +1 @@
ALTER TABLE `workspace` ADD `allow_non_zdr` boolean;
File diff suppressed because it is too large Load Diff
@@ -0,0 +1 @@
ALTER TABLE `workspace` RENAME COLUMN `allow_non_zdr` TO `allow_training`;
File diff suppressed because it is too large Load Diff
@@ -53,6 +53,7 @@ export const BillingTable = mysqlTable(
...workspaceIndexes(table),
uniqueIndex("global_customer_id").on(table.customerID),
uniqueIndex("global_subscription_id").on(table.subscriptionID),
uniqueIndex("global_lite_subscription_id").on(table.liteSubscriptionID),
],
)
@@ -1,4 +1,4 @@
import { bigint, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
import { bigint, index, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
import { timestamps, ulid, utc, workspaceColumns } from "../drizzle/types"
import { workspaceIndexes } from "./workspace.sql"
@@ -31,5 +31,8 @@ export const ReferralRewardTable = mysqlTable(
amount: bigint("amount", { mode: "number" }).notNull(),
timeApplied: utc("time_applied"),
},
(table) => [primaryKey({ columns: [table.workspaceID, table.referralID] })],
(table) => [
primaryKey({ columns: [table.workspaceID, table.referralID] }),
index("referral_id").on(table.referralID),
],
)
@@ -8,6 +8,7 @@ export const WorkspaceTable = mysqlTable(
slug: varchar("slug", { length: 255 }),
name: varchar("name", { length: 255 }).notNull(),
region: json("region").$type<("us" | "eu" | "sg" | "cn")[]>(),
allow_training: boolean(),
is_blocked: boolean(),
is_flagged_by_anthropic: boolean(),
is_flagged_by_openai: boolean(),
+2
View File
@@ -62,6 +62,7 @@ export namespace Workspace {
z.object({
name: z.string().min(1).max(255).optional(),
region: z.array(Region).min(1).optional(),
allow_training: z.boolean().optional(),
}),
async (input) => {
Actor.assertAdmin()
@@ -72,6 +73,7 @@ export namespace Workspace {
.set({
...("name" in input ? { name: input.name } : {}),
...("region" in input ? { region: input.region } : {}),
...("allow_training" in input ? { allow_training: input.allow_training } : {}),
})
.where(eq(WorkspaceTable.id, workspaceID)),
)
+1 -1
View File
@@ -70,7 +70,7 @@
"@ai-sdk/deepinfra": "2.0.41",
"@ai-sdk/gateway": "3.0.104",
"@ai-sdk/google": "3.0.73",
"@ai-sdk/google-vertex": "4.0.128",
"@ai-sdk/google-vertex": "4.0.181",
"@ai-sdk/groq": "3.0.31",
"@ai-sdk/mistral": "3.0.51",
"@ai-sdk/openai": "3.0.84",
+1
View File
@@ -202,6 +202,7 @@ export const make = (dependencies: Dependencies) => {
.stream(
LLM.request({
model: input.model,
http: input.request.http,
messages: [Message.user(summaryPrompt)],
tools: [],
generation: { maxTokens: summaryOutput },
+7
View File
@@ -204,6 +204,13 @@ const layer = Layer.effect(
const promptCacheKey = /^ses_[0-9a-f]{64}$/.test(session.id) ? session.id.slice(4) : session.id
const request = LLM.request({
model,
http: {
headers: {
"x-session-affinity": session.id,
"X-Session-Id": session.id,
...(session.parentID ? { "x-parent-session-id": session.parentID } : {}),
},
},
providerOptions: { openai: { promptCacheKey } },
system: [agent.info?.system, system.baseline]
.filter((part): part is string => part !== undefined && part.length > 0)
+47
View File
@@ -1101,6 +1101,16 @@ describe("SessionRunnerLLM", () => {
yield* session.resume(sessionID)
expect(requests).toHaveLength(2)
expect(requests.map((request) => request.http?.headers)).toEqual([
{
"x-session-affinity": sessionID,
"X-Session-Id": sessionID,
},
{
"x-session-affinity": sessionID,
"X-Session-Id": sessionID,
},
])
expect(userTexts(requests[0])[0]).toContain("## Objective")
expect(userTexts(requests[1])).toHaveLength(1)
expect(userTexts(requests[1])[0]).toContain("<summary>\n## Objective\n- Preserve the task\n</summary>")
@@ -2508,6 +2518,43 @@ describe("SessionRunnerLLM", () => {
}),
)
it.effect("adds session correlation headers to model requests", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run correlated request" }), resume: false })
requests.length = 0
yield* session.resume(sessionID)
expect(requests[0]?.http?.headers).toEqual({
"x-session-affinity": sessionID,
"X-Session-Id": sessionID,
})
}),
)
it.effect("adds the parent session header to child model requests", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
const parentID = SessionV2.ID.make("ses_runner_parent")
const { db } = yield* Database.Service
yield* db
.update(SessionTable)
.set({ parent_id: parentID })
.where(eq(SessionTable.id, sessionID))
.run()
.pipe(Effect.orDie)
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run child request" }), resume: false })
requests.length = 0
yield* session.resume(sessionID)
expect(requests[0]?.http?.headers?.["x-parent-session-id"]).toBe(parentID)
}),
)
it.effect("bounds 64-character session prompt cache keys", () =>
Effect.gen(function* () {
yield* setup
+1 -1
View File
@@ -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": "4.0.128",
"@ai-sdk/google-vertex": "4.0.181",
"@ai-sdk/groq": "3.0.31",
"@ai-sdk/mistral": "3.0.51",
"@ai-sdk/openai": "3.0.84",
+1 -152
View File
@@ -1,70 +1,6 @@
import { InstallationVersion } from "@opencode-ai/core/installation/version"
import type { Hooks, PluginInput } from "@opencode-ai/plugin"
import type { Provider } from "@opencode-ai/sdk/v2"
import { Schema } from "effect"
import { OAUTH_DUMMY_KEY } from "../auth"
const AZURE_COGNITIVE_SERVICES_SCOPE = "https://cognitiveservices.azure.com/.default"
const AZURE_FOUNDRY_SCOPE = "https://ai.azure.com/.default"
const AZURE_TOKEN_REFRESH_BUFFER = 60_000
const AzureCliToken = Schema.Struct({
accessToken: Schema.NonEmptyString,
expires_on: Schema.Number,
})
const decodeAzureCliToken = Schema.decodeUnknownPromise(AzureCliToken)
const decodeAzureAccounts = Schema.decodeUnknownPromise(
Schema.Array(
Schema.Struct({
name: Schema.NonEmptyString,
resourceGroup: Schema.NonEmptyString,
}),
),
)
const decodeAzureDeployments = Schema.decodeUnknownPromise(
Schema.Array(
Schema.Struct({
name: Schema.NonEmptyString,
properties: Schema.Struct({
model: Schema.Struct({
name: Schema.NonEmptyString,
}),
provisioningState: Schema.NonEmptyString,
}),
}),
),
)
type AzureCommand = {
quiet(): AzureCommand
json(): Promise<unknown>
}
type AzureShell = (strings: TemplateStringsArray, ...values: string[]) => AzureCommand
export async function AzureAuthPlugin(input: PluginInput): Promise<Hooks> {
return createAzureAuthHooks(input.$)
}
export function createAzureAuthHooks(
shell: AzureShell,
request: (input: RequestInfo | URL, init?: RequestInit) => Promise<Response> = fetch,
): Hooks {
const tokens = new Map<string, { token: string; expires: number }>()
async function token(scope: string) {
const cached = tokens.get(scope)
if (cached && cached.expires - Date.now() > AZURE_TOKEN_REFRESH_BUFFER) return cached.token
const result = await decodeAzureCliToken(
await shell`az account get-access-token --scope ${scope} --output json`.quiet().json(),
)
const token = { token: result.accessToken, expires: result.expires_on * 1000 }
tokens.set(scope, token)
return token.token
}
export async function AzureAuthPlugin(_input: PluginInput): Promise<Hooks> {
const prompts = []
if (!process.env.AZURE_RESOURCE_NAME) {
prompts.push({
@@ -76,102 +12,15 @@ export function createAzureAuthHooks(
}
return {
provider: {
id: "azure",
async models(provider, context) {
if (context.auth?.type !== "oauth") return provider.models
if (!context.auth.accountId) return {}
return discoverAzureModels(provider.models, context.auth.accountId, shell).catch(() => ({}))
},
},
auth: {
provider: "azure",
async loader(getAuth) {
if ((await getAuth()).type !== "oauth") return {}
return {
apiKey: OAUTH_DUMMY_KEY,
async fetch(input: RequestInfo | URL, init?: RequestInit) {
const headers = new Headers(input instanceof Request ? input.headers : undefined)
new Headers(init?.headers).forEach((value, key) => headers.set(key, value))
headers.delete("api-key")
headers.delete("x-api-key")
headers.set("authorization", `Bearer ${await token(scopeForRequest(input))}`)
headers.set("User-Agent", `opencode/${InstallationVersion}`)
return request(input, { ...init, headers })
},
}
},
methods: [
{
type: "api",
label: "API key",
prompts,
},
{
type: "oauth",
label: "Microsoft Entra ID (Azure CLI)",
prompts,
async authorize(inputs) {
return {
url: "",
instructions: "Sign in with `az login` before continuing.",
method: "auto",
callback: async () => {
const resourceName = inputs?.resourceName ?? process.env.AZURE_RESOURCE_NAME
if (!resourceName) throw new Error("Azure Resource Name is required")
await token(AZURE_COGNITIVE_SERVICES_SCOPE)
return {
type: "success",
access: OAUTH_DUMMY_KEY,
refresh: OAUTH_DUMMY_KEY,
expires: Date.now() + 365 * 24 * 60 * 60 * 1000,
accountId: resourceName,
}
},
}
},
},
],
},
}
}
async function discoverAzureModels(models: Provider["models"], resourceName: string, shell: AzureShell) {
const accounts = await decodeAzureAccounts(
await shell`az cognitiveservices account list --output json --only-show-errors`.quiet().json(),
)
const account = accounts.find((account) => account.name.toLowerCase() === resourceName.toLowerCase())
if (!account) return {}
const deployments = await decodeAzureDeployments(
await shell`az cognitiveservices account deployment list --name ${account.name} --resource-group ${account.resourceGroup} --output json --only-show-errors`
.quiet()
.json(),
)
const found = new Map<string, Provider["models"][string]>()
deployments.forEach((deployment) => {
if (deployment.properties.provisioningState !== "Succeeded") return
const modelID = Object.keys(models).find(
(modelID) => modelID.toLowerCase() === deployment.properties.model.name.toLowerCase(),
)
if (!modelID) return
found.set(modelID, {
...models[modelID],
api: {
...models[modelID].api,
id: deployment.name,
},
})
})
return Object.fromEntries(found)
}
function scopeForRequest(input: RequestInfo | URL) {
const url = new URL(input instanceof Request ? input.url : input)
if (url.hostname.endsWith(".services.ai.azure.com") && !url.pathname.startsWith("/models")) {
return AZURE_FOUNDRY_SCOPE
}
return AZURE_COGNITIVE_SERVICES_SCOPE
}
+16 -4
View File
@@ -37,10 +37,12 @@ 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
}
}
@@ -75,6 +77,14 @@ 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",
@@ -406,10 +416,12 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
requestInput instanceof URL
? requestInput
: new URL(typeof requestInput === "string" ? requestInput : requestInput.url)
const url =
parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
? new URL(codexApiEndpoint)
: parsed
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 requestInit = {
...init,
@@ -110,10 +110,11 @@ export function createWebSocketFetch(options?: CreateWebSocketFetchOptions) {
invalidate(entry)
}
},
onConnectionInvalid: (error) => {
onConnectionInvalid: (_error, closeCode) => {
entry.busy = false
entry.lastUsedAt = Date.now()
if (!entry.fallback) recordStreamFailure(entry)
if (closeCode === OpenAIWebSocket.MESSAGE_TOO_BIG_CLOSE_CODE) entry.fallback = true
else if (!entry.fallback) recordStreamFailure(entry)
invalidate(entry)
resolveFirstEvent(false)
},
+6 -4
View File
@@ -9,6 +9,7 @@ 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
@@ -26,7 +27,7 @@ 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) => void
onConnectionInvalid?: (error: ProviderError.ResponseStreamError, closeCode?: number) => void
onAbort?: (error: Error) => void
}
@@ -162,11 +163,11 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
controller?.close()
}
function invalidate(error: ProviderError.ResponseStreamError) {
function invalidate(error: ProviderError.ResponseStreamError, closeCode?: number) {
if (completed) return
completed = true
cleanup()
options.onConnectionInvalid?.(error)
options.onConnectionInvalid?.(error, closeCode)
controller?.error(error)
}
@@ -274,6 +275,7 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
if (completed) return
invalidate(
new ProviderError.ResponseStreamError(closeMessage("WebSocket closed before response.completed", code, reason)),
code,
)
}
@@ -373,7 +375,7 @@ function abortError(signal: AbortSignal | undefined) {
function closeMessage(message: string, code: number, reason: Buffer) {
const details = [`code ${code}`]
if (code === 1009) details.push("message too big")
if (code === MESSAGE_TOO_BIG_CLOSE_CODE) details.push("message too big")
if (reason.length > 0) details.push(reason.toString())
return `${message} (${details.join(": ")})`
}
@@ -244,7 +244,6 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
return [
provider.options?.resourceName,
auth?.type === "api" ? auth.metadata?.resourceName : undefined,
auth?.type === "oauth" ? auth.accountId : undefined,
env["AZURE_RESOURCE_NAME"],
].find((name) => typeof name === "string" && name.trim() !== "")
})
@@ -528,7 +528,6 @@ const GEMINI_MODELS_WITH_SAMPLING_DEFAULTS = [
export function temperature(model: Provider.Model) {
const id = model.api.id.toLowerCase()
if (id.includes("north-mini-code")) return 1.0
if (id.includes("qwen")) return 0.55
if (id.includes("claude")) return undefined
if (id.includes("gemini"))
return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 1.0 : undefined
@@ -547,7 +546,6 @@ export function temperature(model: Provider.Model) {
export function topP(model: Provider.Model) {
const id = model.api.id.toLowerCase()
if (id.includes("qwen")) return 1
if (id.includes("gemini"))
return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 0.95 : undefined
if (["minimax-m2", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
@@ -2,6 +2,7 @@ import { ProviderAuth } from "@/provider/auth"
import { Config } from "@/config/config"
import { ModelsDev } from "@opencode-ai/core/models-dev"
import { Provider } from "@/provider/provider"
import { Auth } from "@/auth"
import { mapValues } from "remeda"
import { Effect, Schema } from "effect"
@@ -36,6 +37,7 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
const cfg = yield* Config.Service
const provider = yield* Provider.Service
const svc = yield* ProviderAuth.Service
const authStore = yield* Auth.Service
const list = Effect.fn("ProviderHttpApi.list")(function* () {
const config = yield* cfg.get()
@@ -47,6 +49,7 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
if ((enabled ? enabled.has(key) : true) && !disabled.has(key)) filtered[key] = value
}
const connected = yield* provider.list()
const credentials = yield* authStore.all().pipe(Effect.orDie)
const providers = Object.assign(
mapValues(filtered, (item) => Provider.fromModelsDevProvider(item)),
connected,
@@ -54,7 +57,7 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
return {
all: Object.values(providers).map(Provider.toPublicInfo),
default: Provider.defaultModelIDs(providers),
connected: Object.keys(connected),
connected: Object.keys(providers).filter((id) => id in connected || credentials[id]),
}
})
+7 -9
View File
@@ -336,10 +336,8 @@ export function plan(input: { slug: string; time: { created: number } }, instanc
}
export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?: ProviderMetadata }) => {
const safe = (value: number) => {
if (!Number.isFinite(value)) return 0
return Math.max(0, value)
}
const finite = (value: number) => (Number.isFinite(value) ? value : 0)
const safe = (value: number) => Math.max(0, finite(value))
const inputTokens = safe(input.usage.inputTokens ?? 0)
const outputTokens = safe(input.usage.outputTokens ?? 0)
const reasoningTokens = safe(input.usage.reasoningTokens ?? 0)
@@ -393,13 +391,13 @@ export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?
? new Decimal(totalNanoAiu).div(100_000_000_000).toNumber()
: safe(
new Decimal(0)
.add(new Decimal(tokens.input).mul(costInfo?.input ?? 0).div(1_000_000))
.add(new Decimal(tokens.output).mul(costInfo?.output ?? 0).div(1_000_000))
.add(new Decimal(tokens.cache.read).mul(costInfo?.cache?.read ?? 0).div(1_000_000))
.add(new Decimal(tokens.cache.write).mul(costInfo?.cache?.write ?? 0).div(1_000_000))
.add(new Decimal(tokens.input).mul(finite(costInfo?.input ?? 0)).div(1_000_000))
.add(new Decimal(tokens.output).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
.add(new Decimal(tokens.cache.read).mul(finite(costInfo?.cache?.read ?? 0)).div(1_000_000))
.add(new Decimal(tokens.cache.write).mul(finite(costInfo?.cache?.write ?? 0)).div(1_000_000))
// TODO: update models.dev to have better pricing model, for now:
// charge reasoning tokens at the same rate as output tokens
.add(new Decimal(tokens.reasoning).mul(costInfo?.output ?? 0).div(1_000_000))
.add(new Decimal(tokens.reasoning).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
.toNumber(),
),
tokens,
-259
View File
@@ -1,259 +0,0 @@
import { afterEach, describe, expect, test } from "bun:test"
import type { Hooks } from "@opencode-ai/plugin"
import type { Auth, Provider } from "@opencode-ai/sdk/v2"
import { OAUTH_DUMMY_KEY } from "../../src/auth"
import { createAzureAuthHooks } from "../../src/plugin/azure"
const resourceName = process.env.AZURE_RESOURCE_NAME
afterEach(() => {
if (resourceName === undefined) delete process.env.AZURE_RESOURCE_NAME
else process.env.AZURE_RESOURCE_NAME = resourceName
})
const oauth: Auth = {
type: "oauth",
access: OAUTH_DUMMY_KEY,
refresh: OAUTH_DUMMY_KEY,
expires: Date.now() + 60 * 60 * 1000,
accountId: "test-resource",
}
const provider: Provider = {
id: "azure",
name: "Azure",
source: "custom",
env: [],
options: {},
models: {},
}
function oauthMethod(hooks: Hooks) {
const method = hooks.auth?.methods.find((method) => method.type === "oauth")
if (!method || method.type !== "oauth") throw new Error("Azure OAuth method is missing")
return method
}
function loader(hooks: Hooks) {
if (!hooks.auth?.loader) throw new Error("Azure auth loader is missing")
return hooks.auth.loader
}
function customFetch(options: Record<string, unknown>) {
const result = options["fetch"]
if (typeof result !== "function") throw new Error("Azure custom fetch is missing")
return async (input: RequestInfo | URL, init?: RequestInit) => {
const response: unknown = await Reflect.apply(result, undefined, [input, init])
if (!(response instanceof Response)) throw new Error("Azure custom fetch returned an invalid response")
return response
}
}
function models(...ids: string[]): Provider["models"] {
return Object.fromEntries(
ids.map((id) => [
id,
{
id,
providerID: "azure",
name: id,
family: "",
api: { id, url: "", npm: "@ai-sdk/azure" },
status: "active",
headers: {},
options: {},
cost: { input: 0, output: 0, cache: { read: 0, write: 0 } },
limit: { context: 0, output: 0 },
capabilities: {
temperature: true,
reasoning: false,
attachment: false,
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,
},
release_date: "",
variants: {},
},
]),
)
}
function azureShell(scopes: string[]) {
return (_strings: TemplateStringsArray, ...values: string[]) => {
const output = {
quiet: () => output,
json: async () => {
const scope = values[0]
scopes.push(scope)
return {
accessToken: `${scope}-token`,
expires_on: Math.floor((Date.now() + 60 * 60 * 1000) / 1000),
}
},
}
return output
}
}
function discoveryShell(accounts: unknown, deployments: unknown, commands: string[]) {
return (strings: TemplateStringsArray, ...values: string[]) => {
const command = String.raw(strings, ...values)
commands.push(command)
const output = {
quiet: () => output,
json: async () => (command.includes("deployment list") ? deployments : accounts),
}
return output
}
}
describe("plugin.azure", () => {
test("keeps the existing API-key method and adds Entra ID", () => {
delete process.env.AZURE_RESOURCE_NAME
const hooks = createAzureAuthHooks(azureShell([]))
expect(hooks.auth?.provider).toBe("azure")
expect(hooks.provider?.id).toBe("azure")
expect(hooks.auth?.methods.map((method) => [method.type, method.label])).toEqual([
["api", "API key"],
["oauth", "Microsoft Entra ID (Azure CLI)"],
])
expect(hooks.auth?.methods[0]).toEqual({
type: "api",
label: "API key",
prompts: [
{
type: "text",
key: "resourceName",
message: "Enter Azure Resource Name",
placeholder: "e.g. my-models",
},
],
})
expect(hooks.auth?.methods[1].prompts).toEqual(hooks.auth?.methods[0].prompts)
})
test("checks Azure CLI and stores the resource name", async () => {
const scopes: string[] = []
const hooks = createAzureAuthHooks(azureShell(scopes))
const authorization = await oauthMethod(hooks).authorize({ resourceName: "test-resource" })
if (authorization.method !== "auto") throw new Error("Unexpected Azure authorization method")
expect(await authorization.callback()).toMatchObject({
type: "success",
access: OAUTH_DUMMY_KEY,
refresh: OAUTH_DUMMY_KEY,
accountId: "test-resource",
})
expect(scopes).toEqual(["https://cognitiveservices.azure.com/.default"])
})
test("discovers deployed models through Azure CLI", async () => {
const commands: string[] = []
const hooks = createAzureAuthHooks(
discoveryShell(
[{ name: "test-resource", resourceGroup: "test-group" }],
[
{
name: "gpt-production",
properties: { model: { name: "gpt-5-mini" }, provisioningState: "Succeeded" },
},
{
name: "DeepSeek-V4-Flash",
properties: { model: { name: "DeepSeek-V4-Flash" }, provisioningState: "Succeeded" },
},
{
name: "phi-production",
properties: { model: { name: "Phi-4-mini-instruct" }, provisioningState: "Succeeded" },
},
{
name: "gpt-5-nano",
properties: { model: { name: "gpt-5-nano" }, provisioningState: "Creating" },
},
],
commands,
),
)
const list = hooks.provider?.models
if (!list) throw new Error("Azure provider model hook is missing")
const result = await list(
{
...provider,
models: models("gpt-5-mini", "deepseek-v4-flash", "phi-4-mini", "phi-4-mini-instruct", "gpt-5-nano"),
},
{ auth: oauth },
)
expect(Object.keys(result)).toEqual(["gpt-5-mini", "deepseek-v4-flash", "phi-4-mini-instruct"])
expect(result["gpt-5-mini"].api.id).toBe("gpt-production")
expect(result["deepseek-v4-flash"].api.id).toBe("DeepSeek-V4-Flash")
expect(result["phi-4-mini-instruct"].api.id).toBe("phi-production")
expect(commands).toEqual([
"az cognitiveservices account list --output json --only-show-errors",
"az cognitiveservices account deployment list --name test-resource --resource-group test-group --output json --only-show-errors",
])
})
test("keeps startup running when Azure discovery fails", async () => {
const hooks = createAzureAuthHooks(() => {
const output = {
quiet: () => output,
json: async () => {
throw new Error("Azure CLI failed")
},
}
return output
})
const list = hooks.provider?.models
if (!list) throw new Error("Azure provider model hook is missing")
expect(await list({ ...provider, models: models("gpt-5-mini") }, { auth: oauth })).toEqual({})
})
test("does not change API-key loading", async () => {
const scopes: string[] = []
const hooks = createAzureAuthHooks(azureShell(scopes))
const catalog = models("gpt-5-mini")
const list = hooks.provider?.models
if (!list) throw new Error("Azure provider model hook is missing")
expect(await loader(hooks)(async () => ({ type: "api", key: "test-key" }), provider)).toEqual({})
expect(await list({ ...provider, models: catalog }, { auth: { type: "api", key: "test-key" } })).toBe(catalog)
expect(scopes).toEqual([])
})
test("uses Azure CLI bearer tokens for Azure inference endpoints", async () => {
const scopes: string[] = []
const requests: Headers[] = []
const hooks = createAzureAuthHooks(azureShell(scopes), async (_input, init) => {
requests.push(new Headers(init?.headers))
return new Response(null, { status: 200 })
})
const options = await loader(hooks)(async () => oauth, provider)
const request = customFetch(options)
await request("https://test-resource.openai.azure.com/openai/v1/responses", {
headers: { "api-key": OAUTH_DUMMY_KEY, "x-keep": "yes" },
})
await request("https://test-resource.services.ai.azure.com/models/chat/completions", {
headers: { Authorization: `Bearer ${OAUTH_DUMMY_KEY}` },
})
await request("https://test-resource.services.ai.azure.com/anthropic/v1/messages", {
headers: { "x-api-key": OAUTH_DUMMY_KEY },
})
expect(scopes).toEqual(["https://cognitiveservices.azure.com/.default", "https://ai.azure.com/.default"])
expect(requests.map((headers) => headers.get("authorization"))).toEqual([
"Bearer https://cognitiveservices.azure.com/.default-token",
"Bearer https://cognitiveservices.azure.com/.default-token",
"Bearer https://ai.azure.com/.default-token",
])
expect(requests[0].get("api-key")).toBeNull()
expect(requests[0].get("x-keep")).toBe("yes")
expect(requests[2].get("x-api-key")).toBeNull()
expect(requests.every((headers) => headers.get("user-agent")?.startsWith("opencode/"))).toBe(true)
})
})
+169 -5
View File
@@ -1,9 +1,13 @@
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"
@@ -131,6 +135,69 @@ 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 })
@@ -149,6 +216,73 @@ 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 }
@@ -193,6 +327,9 @@ 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",
@@ -207,7 +344,7 @@ describe("plugin.codex", () => {
resolveRefresh = resolve
})
let refreshRequests = 0
const apiRequests: { authorization: string | null; accountId: string | null }[] = []
const apiRequests: { authorization: string | null; accountId: string | null; residency: string | null }[] = []
using server = Bun.serve({
port: 0,
@@ -219,7 +356,7 @@ describe("plugin.codex", () => {
await refreshReady
return Response.json({
id_token: createTestJwt({ chatgpt_account_id: "acc-123" }),
access_token: "access-new",
access_token: refreshedAccess,
refresh_token: "refresh-new",
expires_in: 3600,
})
@@ -229,6 +366,7 @@ 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 })
}
@@ -281,11 +419,11 @@ 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("access-new")
expect(authUpdates[0]?.body.access).toBe(refreshedAccess)
expect(authUpdates[0]?.body.accountId).toBe("acc-123")
expect(apiRequests).toEqual([
{ authorization: "Bearer access-new", accountId: "acc-123" },
{ authorization: "Bearer access-new", accountId: "acc-123" },
{ authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
{ authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
])
})
})
@@ -297,3 +435,29 @@ async function waitFor(predicate: () => boolean) {
await new Promise((resolve) => setTimeout(resolve, 1))
}
}
async function createCodexWebSocketServer() {
let headers: IncomingMessage["headers"] | undefined
const server = createServer()
const sockets = new WebSocketServer({ server })
sockets.on("connection", (socket, request) => {
headers = request.headers
socket.once("message", () => {
socket.send(JSON.stringify({ type: "response.completed", response: { id: "resp_123" } }))
})
})
await new Promise<void>((resolve, reject) => {
server.once("error", reject)
server.listen(0, "127.0.0.1", resolve)
})
const address = server.address() as AddressInfo
return {
url: `http://127.0.0.1:${address.port}/backend-api/codex/responses`,
headers: () => headers,
async [Symbol.asyncDispose]() {
for (const socket of sockets.clients) socket.terminate()
sockets.close()
server.close()
},
}
}
@@ -17,13 +17,18 @@ describe("plugin.openai.ws", () => {
const socket = await OpenAIWebSocket.connectResponsesWebSocket({
url: server.wsUrl,
headers: { authorization: "Bearer test", "content-length": "123" },
headers: {
authorization: "Bearer test",
"content-length": "123",
"x-openai-internal-codex-residency": "eu",
},
})
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()
})
@@ -232,6 +237,26 @@ 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++)
@@ -3215,6 +3215,19 @@ describe("ProviderTransform.temperature - Cohere North", () => {
})
})
describe("ProviderTransform sampling defaults - Qwen", () => {
test.each(["Qwen3.8-27B", "qwen3-coder-30b-a3b-instruct"])('leaves sampling unset for "%s"', (id) => {
const model = {
id: `custom/${id}`,
api: { id },
} as any
expect(ProviderTransform.temperature(model)).toBeUndefined()
expect(ProviderTransform.topP(model)).toBeUndefined()
expect(ProviderTransform.topK(model)).toBeUndefined()
})
})
describe("ProviderTransform sampling defaults - Gemini", () => {
const model = (id: string) =>
({
@@ -1782,6 +1782,22 @@ describe("SessionNs.getUsage", () => {
expect(Number.isNaN(result.cost)).toBe(false)
})
test("ignores malformed cost fields", () => {
const model = createModel({
context: 100_000,
output: 32_000,
cost: { input: 3, output: 15, cache: { read: 0.3, write: 3.75 } },
})
Object.assign(model.cost, { input: {} })
const result = SessionNs.getUsage({
model,
usage: usage({ inputTokens: 1_000_000, outputTokens: 100_000, totalTokens: 1_100_000 }),
})
expect(result.cost).toBe(1.5)
})
test("calculates cost correctly", () => {
const model = createModel({
context: 100_000,
+73 -66
View File
@@ -61,6 +61,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
يوضح الجدول أدناه عددًا تقديريًا للطلبات بناءً على أنماط استخدام Go المعتادة:
| Model | الطلبات لكل 5 ساعات | الطلبات في الأسبوع | الطلبات في الشهر |
| ----------------- | ------------------- | ------------------ | ---------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | الطلبات لكل 5 ساعات | الطلبات في الأسبوع | الطلبات في الشهر |
| -------------------------- | ------------------- | ------------------ | ---------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
تستند التقديرات إلى أنماط الطلبات المرصودة:
@@ -118,6 +120,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- DeepSeek V4 Flash — 410 input، و71,300 cached، و310 output tokens لكل طلب
- MiniMax M3 — 510 input، و56,000 cached، و190 output tokens لكل طلب
- MiniMax M2.7 — 300 input، و55,000 cached، و125 output tokens لكل طلب
- Muse Spark 1.2 Contributor — 620 input، و71,400 cached، و300 output tokens لكل طلب
- Qwen3.8 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
- Qwen3.7 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
- Qwen3.7 Plus — 500 input، و57,000 cached، و190 output tokens لكل طلب
@@ -144,6 +147,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -190,28 +194,29 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
يمكنك أيضًا الوصول إلى نماذج Go عبر نقاط نهاية API التالية.
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | Model ID | Endpoint | AI SDK Package |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K3، ستستخدم `opencode-go/kimi-k3` في إعداداتك.
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## الخصوصية
| النموذج | تدريب النموذج | الاحتفاظ بالبيانات |
| ----------------- | ------------- | ------------------ |
| Grok 4.5 | غير مستخدَمة | 30 يومًا |
| GPT 5.6 Luna | غير مستخدَمة | 30 يومًا |
| GLM-5.3 | غير مستخدَمة | 0 أيام |
| GLM-5.2 | غير مستخدَمة | 0 أيام |
| GLM-5.1 | غير مستخدَمة | 0 أيام |
| Kimi K3 | غير مستخدَمة | 0 أيام |
| Kimi K2.7 Code | غير مستخدَمة | 0 أيام |
| Kimi K2.6 | غير مستخدَمة | 0 أيام |
| MiMo-V2.5-Pro | غير مستخدَمة | 0 أيام |
| MiMo-V2.5 | غير مستخدَمة | 0 أيام |
| Qwen3.8 Max | غير مستخدَمة | 0 أيام |
| Qwen3.7 Max | غير مستخدَمة | 0 أيام |
| Qwen3.7 Plus | غير مستخدَمة | 0 أيام |
| Qwen3.6 Plus | غير مستخدَمة | 0 أيام |
| MiniMax M3 | غير مستخدَمة | 0 أيام |
| MiniMax M2.7 | غير مستخدَمة | 0 أيام |
| DeepSeek V4 Pro | غير مستخدَمة | 0 أيام |
| DeepSeek V4 Flash | غير مستخدَمة | 0 أيام |
| Hy3 | غير مستخدَمة | 0 أيام |
| النموذج | تدريب النموذج | الاحتفاظ بالبيانات |
| -------------------------- | ------------- | ------------------ |
| Grok 4.5 | غير مستخدَمة | 30 يومًا |
| GPT 5.6 Luna | غير مستخدَمة | 30 يومًا |
| GLM-5.3 | غير مستخدَمة | 0 أيام |
| GLM-5.2 | غير مستخدَمة | 0 أيام |
| GLM-5.1 | غير مستخدَمة | 0 أيام |
| Kimi K3 | غير مستخدَمة | 0 أيام |
| Kimi K2.7 Code | غير مستخدَمة | 0 أيام |
| Kimi K2.6 | غير مستخدَمة | 0 أيام |
| MiMo-V2.5-Pro | غير مستخدَمة | 0 أيام |
| MiMo-V2.5 | غير مستخدَمة | 0 أيام |
| Qwen3.8 Max | غير مستخدَمة | 0 أيام |
| Qwen3.7 Max | غير مستخدَمة | 0 أيام |
| Qwen3.7 Plus | غير مستخدَمة | 0 أيام |
| Qwen3.6 Plus | غير مستخدَمة | 0 أيام |
| MiniMax M3 | غير مستخدَمة | 0 أيام |
| MiniMax M2.7 | غير مستخدَمة | 0 أيام |
| Muse Spark 1.2 Contributor | نعم | ليست ZDR |
| DeepSeek V4 Pro | غير مستخدَمة | 0 أيام |
| DeepSeek V4 Flash | غير مستخدَمة | 0 أيام |
| Hy3 | غير مستخدَمة | 0 أيام |
- **Grok 4.5:** تعطّل ZDR ميزات API مهمة تعتمد على البيانات المخزنة، بما في ذلك Responses API ذات الحالة، وFiles and Collections، وBatch API. [اعرف المزيد](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** تُنشأ سجلات مراقبة إساءة الاستخدام لكل استخدام لميزات API، ويُحتفظ بها لمدة تصل إلى 30 يومًا. [اعرف المزيد](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** أسعار توكنات مخفّضة للغاية مقابل منح الإذن باستخدام مطالباتك وإكمالات النموذج لتدريب نماذج Meta المستقبلية. [اعرف المزيد](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** تُجدَّد اتفاقية ZDR شهريًا. الاتفاقية الحالية سارية حتى 31 أغسطس 2026.
---
+73 -66
View File
@@ -71,6 +71,7 @@ Trenutna lista modela uključuje:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -95,27 +96,28 @@ Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni br
Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca korištenja Go pretplate:
| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
| ----------------- | ------------------ | ----------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
| -------------------------- | ------------------ | ----------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Procjene se zasnivaju na zapaženim obrascima zahtjeva:
@@ -128,6 +130,7 @@ Procjene se zasnivaju na zapaženim obrascima zahtjeva:
- DeepSeek V4 Flash — 410 ulaznih, 71,300 keširanih, 310 izlaznih tokena po zahtjevu
- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
- MiniMax M2.7 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- Muse Spark 1.2 Contributor — 620 ulaznih, 71,400 keširanih, 300 izlaznih tokena po zahtjevu
- Qwen3.8 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
- Qwen3.7 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
- Qwen3.7 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
@@ -154,6 +157,7 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -162,8 +166,8 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -202,28 +206,29 @@ Za ove modele i dalje dobijate malo više nego da direktno plaćate provajderima
Također možete pristupiti Go modelima putem sljedećih API endpointa.
| Model | Model ID | Endpoint | AI SDK Paket |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | Model ID | Endpoint | AI SDK Paket |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[Model id](/docs/config/#models) u vašoj OpenCode konfiguraciji
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K3, koristili biste
@@ -243,30 +248,32 @@ https://opencode.ai/zen/go/v1/models
## Privatnost
| Model | Treniranje modela | Zadržavanje podataka |
| ----------------- | ----------------- | -------------------- |
| Grok 4.5 | Ne koristi se | 30 dana |
| GPT 5.6 Luna | Ne koristi se | 30 dana |
| GLM-5.3 | Ne koristi se | 0 dana |
| GLM-5.2 | Ne koristi se | 0 dana |
| GLM-5.1 | Ne koristi se | 0 dana |
| Kimi K3 | Ne koristi se | 0 dana |
| Kimi K2.7 Code | Ne koristi se | 0 dana |
| Kimi K2.6 | Ne koristi se | 0 dana |
| MiMo-V2.5-Pro | Ne koristi se | 0 dana |
| MiMo-V2.5 | Ne koristi se | 0 dana |
| Qwen3.8 Max | Ne koristi se | 0 dana |
| Qwen3.7 Max | Ne koristi se | 0 dana |
| Qwen3.7 Plus | Ne koristi se | 0 dana |
| Qwen3.6 Plus | Ne koristi se | 0 dana |
| MiniMax M3 | Ne koristi se | 0 dana |
| MiniMax M2.7 | Ne koristi se | 0 dana |
| DeepSeek V4 Pro | Ne koristi se | 0 dana |
| DeepSeek V4 Flash | Ne koristi se | 0 dana |
| Hy3 | Ne koristi se | 0 dana |
| Model | Treniranje modela | Zadržavanje podataka |
| -------------------------- | ----------------- | -------------------- |
| Grok 4.5 | Ne koristi se | 30 dana |
| GPT 5.6 Luna | Ne koristi se | 30 dana |
| GLM-5.3 | Ne koristi se | 0 dana |
| GLM-5.2 | Ne koristi se | 0 dana |
| GLM-5.1 | Ne koristi se | 0 dana |
| Kimi K3 | Ne koristi se | 0 dana |
| Kimi K2.7 Code | Ne koristi se | 0 dana |
| Kimi K2.6 | Ne koristi se | 0 dana |
| MiMo-V2.5-Pro | Ne koristi se | 0 dana |
| MiMo-V2.5 | Ne koristi se | 0 dana |
| Qwen3.8 Max | Ne koristi se | 0 dana |
| Qwen3.7 Max | Ne koristi se | 0 dana |
| Qwen3.7 Plus | Ne koristi se | 0 dana |
| Qwen3.6 Plus | Ne koristi se | 0 dana |
| MiniMax M3 | Ne koristi se | 0 dana |
| MiniMax M2.7 | Ne koristi se | 0 dana |
| Muse Spark 1.2 Contributor | Da | Nije ZDR |
| DeepSeek V4 Pro | Ne koristi se | 0 dana |
| DeepSeek V4 Flash | Ne koristi se | 0 dana |
| Hy3 | Ne koristi se | 0 dana |
- **Grok 4.5:** ZDR onemogućava važne API funkcije koje zavise od pohranjenih podataka, uključujući Responses API s očuvanjem stanja, Files and Collections i Batch API. [Saznajte više](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Zapisi o nadzoru zloupotrebe generišu se za svako korištenje API funkcija i čuvaju do 30 dana. [Saznajte više](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Znatno snižene cijene tokena u zamjenu za dopuštenje da se vaši promptovi i odgovori modela koriste za treniranje budućih Meta modela. [Saznajte više](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** ZDR sporazum obnavlja se mjesečno. Trenutni sporazum važi do 31. augusta 2026.
---
+73 -66
View File
@@ -71,6 +71,7 @@ Den nuværende liste over modeller inkluderer:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -95,27 +96,28 @@ Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmod
Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-forbrugsmønstre:
| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
| ----------------- | ----------------------- | ------------------- | --------------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
| -------------------------- | ----------------------- | ------------------- | --------------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Estimaterne er baseret på observerede anmodningsmønstre:
@@ -128,6 +130,7 @@ Estimaterne er baseret på observerede anmodningsmønstre:
- DeepSeek V4 Flash — 410 input, 71.300 cachelagrede, 310 output-tokens pr. anmodning
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
- MiniMax M2.7 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- Muse Spark 1.2 Contributor — 620 input, 71.400 cachelagrede, 300 output-tokens pr. anmodning
- Qwen3.8 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
- Qwen3.7 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
- Qwen3.7 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
@@ -154,6 +157,7 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -162,8 +166,8 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -202,28 +206,29 @@ Med disse modeller får du stadig lidt mere, end hvis du betalte modeludbyderne
Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | Model ID | Endpoint | AI SDK Package |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Dit [model id](/docs/config/#models) i din OpenCode config
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K3, vil du
@@ -243,30 +248,32 @@ https://opencode.ai/zen/go/v1/models
## Privatliv
| Model | Modeltræning | Dataopbevaring |
| ----------------- | ------------ | -------------- |
| Grok 4.5 | Ikke brugt | 30 dage |
| GPT 5.6 Luna | Ikke brugt | 30 dage |
| GLM-5.3 | Ikke brugt | 0 dage |
| GLM-5.2 | Ikke brugt | 0 dage |
| GLM-5.1 | Ikke brugt | 0 dage |
| Kimi K3 | Ikke brugt | 0 dage |
| Kimi K2.7 Code | Ikke brugt | 0 dage |
| Kimi K2.6 | Ikke brugt | 0 dage |
| MiMo-V2.5-Pro | Ikke brugt | 0 dage |
| MiMo-V2.5 | Ikke brugt | 0 dage |
| Qwen3.8 Max | Ikke brugt | 0 dage |
| Qwen3.7 Max | Ikke brugt | 0 dage |
| Qwen3.7 Plus | Ikke brugt | 0 dage |
| Qwen3.6 Plus | Ikke brugt | 0 dage |
| MiniMax M3 | Ikke brugt | 0 dage |
| MiniMax M2.7 | Ikke brugt | 0 dage |
| DeepSeek V4 Pro | Ikke brugt | 0 dage |
| DeepSeek V4 Flash | Ikke brugt | 0 dage |
| Hy3 | Ikke brugt | 0 dage |
| Model | Modeltræning | Dataopbevaring |
| -------------------------- | ------------ | -------------- |
| Grok 4.5 | Ikke brugt | 30 dage |
| GPT 5.6 Luna | Ikke brugt | 30 dage |
| GLM-5.3 | Ikke brugt | 0 dage |
| GLM-5.2 | Ikke brugt | 0 dage |
| GLM-5.1 | Ikke brugt | 0 dage |
| Kimi K3 | Ikke brugt | 0 dage |
| Kimi K2.7 Code | Ikke brugt | 0 dage |
| Kimi K2.6 | Ikke brugt | 0 dage |
| MiMo-V2.5-Pro | Ikke brugt | 0 dage |
| MiMo-V2.5 | Ikke brugt | 0 dage |
| Qwen3.8 Max | Ikke brugt | 0 dage |
| Qwen3.7 Max | Ikke brugt | 0 dage |
| Qwen3.7 Plus | Ikke brugt | 0 dage |
| Qwen3.6 Plus | Ikke brugt | 0 dage |
| MiniMax M3 | Ikke brugt | 0 dage |
| MiniMax M2.7 | Ikke brugt | 0 dage |
| Muse Spark 1.2 Contributor | Ja | Ikke ZDR |
| DeepSeek V4 Pro | Ikke brugt | 0 dage |
| DeepSeek V4 Flash | Ikke brugt | 0 dage |
| Hy3 | Ikke brugt | 0 dage |
- **Grok 4.5:** ZDR deaktiverer vigtige API-funktioner, der afhænger af lagrede data, herunder den tilstandsbevarende Responses API, Files and Collections og Batch API. [Læs mere](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Logfiler til overvågning af misbrug genereres ved al brug af API-funktioner og opbevares i op til 30 dage. [Læs mere](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Kraftigt nedsatte tokenpriser til gengæld for tilladelse til at bruge dine prompts og modelsvar til at træne fremtidige Meta-modeller. [Læs mere](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** ZDR-aftalen fornyes månedligt. Den nuværende aftale er gyldig til og med 31. august 2026.
---
+73 -66
View File
@@ -63,6 +63,7 @@ Die aktuelle Liste der Modelle umfasst:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -87,27 +88,28 @@ Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anza
Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf typischen Go-Nutzungsmustern:
| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
| ----------------- | ---------------------- | ------------------ | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
| -------------------------- | ---------------------- | ------------------ | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Die Schätzungen basieren auf beobachteten Anfragemustern:
@@ -120,6 +122,7 @@ Die Schätzungen basieren auf beobachteten Anfragemustern:
- DeepSeek V4 Flash — 410 Input-, 71.300 Cached-, 310 Output-Tokens pro Anfrage
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
- MiniMax M2.7 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- Muse Spark 1.2 Contributor — 620 Input-, 71.400 Cached-, 300 Output-Tokens pro Anfrage
- Qwen3.8 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
- Qwen3.7 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
- Qwen3.7 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
@@ -146,6 +149,7 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -154,8 +158,8 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -192,28 +196,29 @@ Bei diesen Modellen erhältst du immer noch etwas mehr, als wenn du die Modellan
Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| Modell | Modell-ID | Endpunkt | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Modell | Modell-ID | Endpunkt | AI SDK Package |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K3 würdest du beispielsweise `opencode-go/kimi-k3` in deiner Config verwenden.
@@ -231,30 +236,32 @@ https://opencode.ai/zen/go/v1/models
## Datenschutz
| Modell | Modelltraining | Datenaufbewahrung |
| ----------------- | --------------- | ----------------- |
| Grok 4.5 | Nicht verwendet | 30 Tage |
| GPT 5.6 Luna | Nicht verwendet | 30 Tage |
| GLM-5.3 | Nicht verwendet | 0 Tage |
| GLM-5.2 | Nicht verwendet | 0 Tage |
| GLM-5.1 | Nicht verwendet | 0 Tage |
| Kimi K3 | Nicht verwendet | 0 Tage |
| Kimi K2.7 Code | Nicht verwendet | 0 Tage |
| Kimi K2.6 | Nicht verwendet | 0 Tage |
| MiMo-V2.5-Pro | Nicht verwendet | 0 Tage |
| MiMo-V2.5 | Nicht verwendet | 0 Tage |
| Qwen3.8 Max | Nicht verwendet | 0 Tage |
| Qwen3.7 Max | Nicht verwendet | 0 Tage |
| Qwen3.7 Plus | Nicht verwendet | 0 Tage |
| Qwen3.6 Plus | Nicht verwendet | 0 Tage |
| MiniMax M3 | Nicht verwendet | 0 Tage |
| MiniMax M2.7 | Nicht verwendet | 0 Tage |
| DeepSeek V4 Pro | Nicht verwendet | 0 Tage |
| DeepSeek V4 Flash | Nicht verwendet | 0 Tage |
| Hy3 | Nicht verwendet | 0 Tage |
| Modell | Modelltraining | Datenaufbewahrung |
| -------------------------- | --------------- | ----------------- |
| Grok 4.5 | Nicht verwendet | 30 Tage |
| GPT 5.6 Luna | Nicht verwendet | 30 Tage |
| GLM-5.3 | Nicht verwendet | 0 Tage |
| GLM-5.2 | Nicht verwendet | 0 Tage |
| GLM-5.1 | Nicht verwendet | 0 Tage |
| Kimi K3 | Nicht verwendet | 0 Tage |
| Kimi K2.7 Code | Nicht verwendet | 0 Tage |
| Kimi K2.6 | Nicht verwendet | 0 Tage |
| MiMo-V2.5-Pro | Nicht verwendet | 0 Tage |
| MiMo-V2.5 | Nicht verwendet | 0 Tage |
| Qwen3.8 Max | Nicht verwendet | 0 Tage |
| Qwen3.7 Max | Nicht verwendet | 0 Tage |
| Qwen3.7 Plus | Nicht verwendet | 0 Tage |
| Qwen3.6 Plus | Nicht verwendet | 0 Tage |
| MiniMax M3 | Nicht verwendet | 0 Tage |
| MiniMax M2.7 | Nicht verwendet | 0 Tage |
| Muse Spark 1.2 Contributor | Ja | Kein ZDR |
| DeepSeek V4 Pro | Nicht verwendet | 0 Tage |
| DeepSeek V4 Flash | Nicht verwendet | 0 Tage |
| Hy3 | Nicht verwendet | 0 Tage |
- **Grok 4.5:** ZDR deaktiviert wichtige API-Funktionen, die von gespeicherten Daten abhängen, einschließlich der zustandsbehafteten Responses API, Files and Collections und der Batch API. [Mehr erfahren](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Für die Nutzung aller API-Funktionen werden Protokolle zur Missbrauchsüberwachung erstellt und bis zu 30 Tage lang aufbewahrt. [Mehr erfahren](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Stark vergünstigte Tokenpreise im Gegenzug für die Erlaubnis, deine Prompts und Vervollständigungen zum Trainieren zukünftiger Meta-Modelle zu verwenden. [Mehr erfahren](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** Die ZDR-Vereinbarung wird monatlich erneuert. Die aktuelle Vereinbarung gilt bis einschließlich 31. August 2026.
---
+73 -66
View File
@@ -71,6 +71,7 @@ La lista actual de modelos incluye:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -95,27 +96,28 @@ Los límites se definen en valor en dólares. Esto significa que tu cantidad rea
La siguiente tabla proporciona una cantidad estimada de peticiones basada en los patrones típicos de uso de Go:
| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
| ----------------- | ---------------------- | --------------------- | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
| -------------------------- | ---------------------- | --------------------- | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Las estimaciones se basan en los patrones de peticiones observados:
@@ -128,6 +130,7 @@ Las estimaciones se basan en los patrones de peticiones observados:
- DeepSeek V4 Flash — 410 tokens de entrada, 71,300 en caché, 310 tokens de salida por petición
- MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
- MiniMax M2.7 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- Muse Spark 1.2 Contributor — 620 tokens de entrada, 71,400 en caché, 300 tokens de salida por petición
- Qwen3.8 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
- Qwen3.7 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
- Qwen3.7 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
@@ -154,6 +157,7 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -162,8 +166,8 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -202,28 +206,29 @@ Con estos modelos, aun así obtienes un poco más que si pagaras directamente a
También puedes acceder a los modelos de Go a través de los siguientes endpoints de la API.
| Modelo | ID del modelo | Endpoint | Paquete de AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Modelo | ID del modelo | Endpoint | Paquete de AI SDK |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
El [ID del modelo](/docs/config/#models) en tu configuración de OpenCode
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K3, usarías
@@ -243,30 +248,32 @@ https://opencode.ai/zen/go/v1/models
## Privacidad
| Modelo | Entrenamiento del modelo | Retención de datos |
| ----------------- | ------------------------ | ------------------ |
| Grok 4.5 | No utilizado | 30 días |
| GPT 5.6 Luna | No utilizado | 30 días |
| GLM-5.3 | No utilizado | 0 días |
| GLM-5.2 | No utilizado | 0 días |
| GLM-5.1 | No utilizado | 0 días |
| Kimi K3 | No utilizado | 0 días |
| Kimi K2.7 Code | No utilizado | 0 días |
| Kimi K2.6 | No utilizado | 0 días |
| MiMo-V2.5-Pro | No utilizado | 0 días |
| MiMo-V2.5 | No utilizado | 0 días |
| Qwen3.8 Max | No utilizado | 0 días |
| Qwen3.7 Max | No utilizado | 0 días |
| Qwen3.7 Plus | No utilizado | 0 días |
| Qwen3.6 Plus | No utilizado | 0 días |
| MiniMax M3 | No utilizado | 0 días |
| MiniMax M2.7 | No utilizado | 0 días |
| DeepSeek V4 Pro | No utilizado | 0 días |
| DeepSeek V4 Flash | No utilizado | 0 días |
| Hy3 | No utilizado | 0 días |
| Modelo | Entrenamiento del modelo | Retención de datos |
| -------------------------- | ------------------------ | ------------------ |
| Grok 4.5 | No utilizado | 30 días |
| GPT 5.6 Luna | No utilizado | 30 días |
| GLM-5.3 | No utilizado | 0 días |
| GLM-5.2 | No utilizado | 0 días |
| GLM-5.1 | No utilizado | 0 días |
| Kimi K3 | No utilizado | 0 días |
| Kimi K2.7 Code | No utilizado | 0 días |
| Kimi K2.6 | No utilizado | 0 días |
| MiMo-V2.5-Pro | No utilizado | 0 días |
| MiMo-V2.5 | No utilizado | 0 días |
| Qwen3.8 Max | No utilizado | 0 días |
| Qwen3.7 Max | No utilizado | 0 días |
| Qwen3.7 Plus | No utilizado | 0 días |
| Qwen3.6 Plus | No utilizado | 0 días |
| MiniMax M3 | No utilizado | 0 días |
| MiniMax M2.7 | No utilizado | 0 días |
| Muse Spark 1.2 Contributor | Sí | Sin ZDR |
| DeepSeek V4 Pro | No utilizado | 0 días |
| DeepSeek V4 Flash | No utilizado | 0 días |
| Hy3 | No utilizado | 0 días |
- **Grok 4.5:** ZDR deshabilita funciones importantes de la API que dependen de datos almacenados, incluidas la Responses API con estado, Files and Collections y la Batch API. [Más información](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Se generan registros de supervisión de abusos para todo el uso de funciones de la API y se conservan durante un máximo de 30 días. [Más información](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Precios de tokens muy reducidos a cambio de permitir que tus prompts y las respuestas generadas se utilicen para entrenar futuros modelos de Meta. [Más información](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** El acuerdo de ZDR se renueva mensualmente. El acuerdo actual es válido hasta el 31 de agosto de 2026.
---
+73 -66
View File
@@ -61,6 +61,7 @@ La liste actuelle des modèles comprend :
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ Les limites sont définies en valeur monétaire (dollars). Cela signifie que vot
Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur des modèles d'utilisation typiques de Go :
| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
| ----------------- | --------------------- | -------------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
| -------------------------- | --------------------- | -------------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Les estimations sont basées sur les schémas de requêtes observés :
@@ -118,6 +120,7 @@ Les estimations sont basées sur les schémas de requêtes observés :
- DeepSeek V4 Flash — 410 tokens en entrée, 71,300 en cache, 310 tokens en sortie par requête
- MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
- MiniMax M2.7 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- Muse Spark 1.2 Contributor — 620 tokens en entrée, 71,400 en cache, 300 tokens en sortie par requête
- Qwen3.8 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
- Qwen3.7 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
- Qwen3.7 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
@@ -144,6 +147,7 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -190,28 +194,29 @@ Pour ces modèles, vous obtenez tout de même un peu plus que si vous payiez dir
Vous pouvez également accéder aux modèles Go via les points de terminaison d'API suivants.
| Modèle | ID de modèle | Point de terminaison | Package AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Modèle | ID de modèle | Point de terminaison | Package AI SDK |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K3, vous utiliseriez `opencode-go/kimi-k3` dans votre configuration.
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## Confidentialité
| Modèle | Entraînement des modèles | Conservation des données |
| ----------------- | ------------------------ | ------------------------ |
| Grok 4.5 | Non utilisé | 30 jours |
| GPT 5.6 Luna | Non utilisé | 30 jours |
| GLM-5.3 | Non utilisé | 0 jour |
| GLM-5.2 | Non utilisé | 0 jour |
| GLM-5.1 | Non utilisé | 0 jour |
| Kimi K3 | Non utilisé | 0 jour |
| Kimi K2.7 Code | Non utilisé | 0 jour |
| Kimi K2.6 | Non utilisé | 0 jour |
| MiMo-V2.5-Pro | Non utilisé | 0 jour |
| MiMo-V2.5 | Non utilisé | 0 jour |
| Qwen3.8 Max | Non utilisé | 0 jour |
| Qwen3.7 Max | Non utilisé | 0 jour |
| Qwen3.7 Plus | Non utilisé | 0 jour |
| Qwen3.6 Plus | Non utilisé | 0 jour |
| MiniMax M3 | Non utilisé | 0 jour |
| MiniMax M2.7 | Non utilisé | 0 jour |
| DeepSeek V4 Pro | Non utilisé | 0 jour |
| DeepSeek V4 Flash | Non utilisé | 0 jour |
| Hy3 | Non utilisé | 0 jour |
| Modèle | Entraînement des modèles | Conservation des données |
| -------------------------- | ------------------------ | ------------------------ |
| Grok 4.5 | Non utilisé | 30 jours |
| GPT 5.6 Luna | Non utilisé | 30 jours |
| GLM-5.3 | Non utilisé | 0 jour |
| GLM-5.2 | Non utilisé | 0 jour |
| GLM-5.1 | Non utilisé | 0 jour |
| Kimi K3 | Non utilisé | 0 jour |
| Kimi K2.7 Code | Non utilisé | 0 jour |
| Kimi K2.6 | Non utilisé | 0 jour |
| MiMo-V2.5-Pro | Non utilisé | 0 jour |
| MiMo-V2.5 | Non utilisé | 0 jour |
| Qwen3.8 Max | Non utilisé | 0 jour |
| Qwen3.7 Max | Non utilisé | 0 jour |
| Qwen3.7 Plus | Non utilisé | 0 jour |
| Qwen3.6 Plus | Non utilisé | 0 jour |
| MiniMax M3 | Non utilisé | 0 jour |
| MiniMax M2.7 | Non utilisé | 0 jour |
| Muse Spark 1.2 Contributor | Oui | Pas de ZDR |
| DeepSeek V4 Pro | Non utilisé | 0 jour |
| DeepSeek V4 Flash | Non utilisé | 0 jour |
| Hy3 | Non utilisé | 0 jour |
- **Grok 4.5:** Le ZDR désactive dimportantes fonctionnalités API qui dépendent des données stockées, notamment Responses API avec état, Files and Collections et Batch API. [En savoir plus](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Des journaux de surveillance des abus sont générés pour toute utilisation des fonctionnalités API et conservés pendant un maximum de 30 jours. [En savoir plus](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Des tarifs de tokens fortement réduits en échange de lautorisation dutiliser vos prompts et vos complétions pour entraîner de futurs modèles Meta. [En savoir plus](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** Laccord ZDR est renouvelé chaque mois. Laccord actuel est valable jusquau 31 août 2026.
---
+73 -66
View File
@@ -71,6 +71,7 @@ The current list of models includes:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -95,27 +96,28 @@ Limits are defined in dollar value. This means your actual request count depends
The table below provides an estimated request count based on typical Go usage patterns:
| Model | requests per 5 hour | requests per week | requests per month |
| ----------------- | ------------------- | ----------------- | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | requests per 5 hour | requests per week | requests per month |
| -------------------------- | ------------------- | ----------------- | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
The estimates are based on observed request patterns:
@@ -128,6 +130,7 @@ The estimates are based on observed request patterns:
- DeepSeek V4 Flash — 410 input, 71,300 cached, 310 output tokens per request
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
- Muse Spark 1.2 Contributor — 620 input, 71,400 cached, 300 output tokens per request
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens per request
@@ -154,6 +157,7 @@ The estimates are also based on the following prices per 1M tokens and the month
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -162,8 +166,8 @@ The estimates are also based on the following prices per 1M tokens and the month
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -202,28 +206,29 @@ For these models, you still get a little more than if you paid the model provide
You can also access Go models through the following API endpoints.
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | Model ID | Endpoint | AI SDK Package |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
The [model id](/docs/config/#models) in your OpenCode config
uses the format `opencode-go/<model-id>`. For example, for Kimi K3, you would
@@ -243,30 +248,32 @@ https://opencode.ai/zen/go/v1/models
## Privacy
| Model | Model training | Data retention |
| ----------------- | -------------- | -------------- |
| Grok 4.5 | Not used | 30 days |
| GPT 5.6 Luna | Not used | 30 days |
| GLM-5.3 | Not used | 0 days |
| GLM-5.2 | Not used | 0 days |
| GLM-5.1 | Not used | 0 days |
| Kimi K3 | Not used | 0 days |
| Kimi K2.7 Code | Not used | 0 days |
| Kimi K2.6 | Not used | 0 days |
| MiMo-V2.5-Pro | Not used | 0 days |
| MiMo-V2.5 | Not used | 0 days |
| Qwen3.8 Max | Not used | 0 days |
| Qwen3.7 Max | Not used | 0 days |
| Qwen3.7 Plus | Not used | 0 days |
| Qwen3.6 Plus | Not used | 0 days |
| MiniMax M3 | Not used | 0 days |
| MiniMax M2.7 | Not used | 0 days |
| DeepSeek V4 Pro | Not used | 0 days\* |
| DeepSeek V4 Flash | Not used | 0 days\* |
| Hy3 | Not used | 0 days |
| Model | Model training | Data retention |
| -------------------------- | -------------- | -------------- |
| Grok 4.5 | Not used | 30 days |
| GPT 5.6 Luna | Not used | 30 days |
| GLM-5.3 | Not used | 0 days |
| GLM-5.2 | Not used | 0 days |
| GLM-5.1 | Not used | 0 days |
| Kimi K3 | Not used | 0 days |
| Kimi K2.7 Code | Not used | 0 days |
| Kimi K2.6 | Not used | 0 days |
| MiMo-V2.5-Pro | Not used | 0 days |
| MiMo-V2.5 | Not used | 0 days |
| Qwen3.8 Max | Not used | 0 days |
| Qwen3.7 Max | Not used | 0 days |
| Qwen3.7 Plus | Not used | 0 days |
| Qwen3.6 Plus | Not used | 0 days |
| MiniMax M3 | Not used | 0 days |
| MiniMax M2.7 | Not used | 0 days |
| Muse Spark 1.2 Contributor | Yes | Not ZDR |
| DeepSeek V4 Pro | Not used | 0 days\* |
| DeepSeek V4 Flash | Not used | 0 days\* |
| Hy3 | Not used | 0 days |
- **Grok 4.5:** ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API. [Learn more](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days. [Learn more](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Heavily discounted token pricing in exchange for permission to use your prompts and completions to train future Meta models. [Learn more](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek:** ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.
---
+73 -66
View File
@@ -69,6 +69,7 @@ L'elenco attuale dei modelli include:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -93,27 +94,28 @@ I limiti sono definiti in valore in dollari. Questo significa che il conteggio e
La tabella seguente fornisce una stima del conteggio delle richieste in base a pattern di utilizzo tipici di Go:
| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
| ----------------- | -------------------- | --------------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
| -------------------------- | -------------------- | --------------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Le stime si basano sui pattern di richieste osservati:
@@ -126,6 +128,7 @@ Le stime si basano sui pattern di richieste osservati:
- DeepSeek V4 Flash — 410 di input, 71.300 in cache, 310 token di output per richiesta
- MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
- MiniMax M2.7 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- Muse Spark 1.2 Contributor — 620 di input, 71.400 in cache, 300 token di output per richiesta
- Qwen3.8 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
- Qwen3.7 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
- Qwen3.7 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
@@ -152,6 +155,7 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -160,8 +164,8 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/).
@@ -200,28 +204,29 @@ Per questi modelli, ottieni comunque un po' più di utilizzo rispetto a quanto o
Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Il [model id](/docs/config/#models) nella tua OpenCode config
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K3, useresti
@@ -241,30 +246,32 @@ https://opencode.ai/zen/go/v1/models
## Privacy
| Modello | Addestramento del modello | Conservazione dei dati |
| ----------------- | ------------------------- | ---------------------- |
| Grok 4.5 | Non utilizzato | 30 giorni |
| GPT 5.6 Luna | Non utilizzato | 30 giorni |
| GLM-5.3 | Non utilizzato | 0 giorni |
| GLM-5.2 | Non utilizzato | 0 giorni |
| GLM-5.1 | Non utilizzato | 0 giorni |
| Kimi K3 | Non utilizzato | 0 giorni |
| Kimi K2.7 Code | Non utilizzato | 0 giorni |
| Kimi K2.6 | Non utilizzato | 0 giorni |
| MiMo-V2.5-Pro | Non utilizzato | 0 giorni |
| MiMo-V2.5 | Non utilizzato | 0 giorni |
| Qwen3.8 Max | Non utilizzato | 0 giorni |
| Qwen3.7 Max | Non utilizzato | 0 giorni |
| Qwen3.7 Plus | Non utilizzato | 0 giorni |
| Qwen3.6 Plus | Non utilizzato | 0 giorni |
| MiniMax M3 | Non utilizzato | 0 giorni |
| MiniMax M2.7 | Non utilizzato | 0 giorni |
| DeepSeek V4 Pro | Non utilizzato | 0 giorni |
| DeepSeek V4 Flash | Non utilizzato | 0 giorni |
| Hy3 | Non utilizzato | 0 giorni |
| Modello | Addestramento del modello | Conservazione dei dati |
| -------------------------- | ------------------------- | ---------------------- |
| Grok 4.5 | Non utilizzato | 30 giorni |
| GPT 5.6 Luna | Non utilizzato | 30 giorni |
| GLM-5.3 | Non utilizzato | 0 giorni |
| GLM-5.2 | Non utilizzato | 0 giorni |
| GLM-5.1 | Non utilizzato | 0 giorni |
| Kimi K3 | Non utilizzato | 0 giorni |
| Kimi K2.7 Code | Non utilizzato | 0 giorni |
| Kimi K2.6 | Non utilizzato | 0 giorni |
| MiMo-V2.5-Pro | Non utilizzato | 0 giorni |
| MiMo-V2.5 | Non utilizzato | 0 giorni |
| Qwen3.8 Max | Non utilizzato | 0 giorni |
| Qwen3.7 Max | Non utilizzato | 0 giorni |
| Qwen3.7 Plus | Non utilizzato | 0 giorni |
| Qwen3.6 Plus | Non utilizzato | 0 giorni |
| MiniMax M3 | Non utilizzato | 0 giorni |
| MiniMax M2.7 | Non utilizzato | 0 giorni |
| Muse Spark 1.2 Contributor | Sì | Non ZDR |
| DeepSeek V4 Pro | Non utilizzato | 0 giorni |
| DeepSeek V4 Flash | Non utilizzato | 0 giorni |
| Hy3 | Non utilizzato | 0 giorni |
- **Grok 4.5:** ZDR disabilita importanti funzionalità API che dipendono dai dati archiviati, tra cui la Responses API con stato, Files and Collections e Batch API. [Scopri di più](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** I log di monitoraggio degli abusi vengono generati per l'utilizzo di tutte le funzionalità API e conservati per un massimo di 30 giorni. [Scopri di più](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Prezzi dei token fortemente scontati in cambio dell'autorizzazione a utilizzare i tuoi prompt e completamenti per addestrare futuri modelli Meta. [Scopri di più](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** L'accordo ZDR viene rinnovato mensilmente. L'accordo attuale è valido fino al 31 agosto 2026.
---
+73 -66
View File
@@ -61,6 +61,7 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ OpenCode Goには以下の制限が含まれています:
以下の表は、一般的なGoの利用パターンに基づいた推定リクエスト数を示しています:
| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
| ----------------- | ------------------------- | ---------------- | ---------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
| -------------------------- | ------------------------- | ---------------- | ---------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
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:
@@ -118,6 +120,7 @@ OpenCode Goには以下の制限が含まれています:
- 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
- MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
- MiniMax M2.7 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
- Muse Spark 1.2 Contributor — リクエストあたり 入力 620トークン、キャッシュ 71,400トークン、出力 300トークン
- Qwen3.8 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
- Qwen3.7 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
- Qwen3.7 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
@@ -144,6 +147,7 @@ OpenCode Goには以下の制限が含まれています:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ OpenCode Goには以下の制限が含まれています:
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| 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/)。
@@ -190,28 +194,29 @@ Goでは月額$10を支払い、その6倍の利用枠を提供することを
以下のAPIエンドポイントを通じて、Goモデルにアクセスすることもできます。
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | Model ID | Endpoint | AI SDK Package |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode設定の[model id](/docs/config/#models)は、`opencode-go/<model-id>`という形式を使用します。たとえば、Kimi K3の場合は、設定で`opencode-go/kimi-k3`を使用します。
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## プライバシー
| モデル | モデルのトレーニング | データ保持 |
| ----------------- | -------------------- | ---------- |
| Grok 4.5 | 使用なし | 30日 |
| GPT 5.6 Luna | 使用なし | 30日 |
| GLM-5.3 | 使用なし | 0日 |
| GLM-5.2 | 使用なし | 0日 |
| GLM-5.1 | 使用なし | 0日 |
| Kimi K3 | 使用なし | 0日 |
| Kimi K2.7 Code | 使用なし | 0日 |
| Kimi K2.6 | 使用なし | 0日 |
| MiMo-V2.5-Pro | 使用なし | 0日 |
| MiMo-V2.5 | 使用なし | 0日 |
| Qwen3.8 Max | 使用なし | 0日 |
| Qwen3.7 Max | 使用なし | 0日 |
| Qwen3.7 Plus | 使用なし | 0日 |
| Qwen3.6 Plus | 使用なし | 0日 |
| MiniMax M3 | 使用なし | 0日 |
| MiniMax M2.7 | 使用なし | 0日 |
| DeepSeek V4 Pro | 使用なし | 0日 |
| DeepSeek V4 Flash | 使用なし | 0日 |
| Hy3 | 使用なし | 0日 |
| モデル | モデルのトレーニング | データ保持 |
| -------------------------- | -------------------- | ----------- |
| Grok 4.5 | 使用なし | 30日 |
| GPT 5.6 Luna | 使用なし | 30日 |
| GLM-5.3 | 使用なし | 0日 |
| GLM-5.2 | 使用なし | 0日 |
| GLM-5.1 | 使用なし | 0日 |
| Kimi K3 | 使用なし | 0日 |
| Kimi K2.7 Code | 使用なし | 0日 |
| Kimi K2.6 | 使用なし | 0日 |
| MiMo-V2.5-Pro | 使用なし | 0日 |
| MiMo-V2.5 | 使用なし | 0日 |
| Qwen3.8 Max | 使用なし | 0日 |
| Qwen3.7 Max | 使用なし | 0日 |
| Qwen3.7 Plus | 使用なし | 0日 |
| Qwen3.6 Plus | 使用なし | 0日 |
| MiniMax M3 | 使用なし | 0日 |
| MiniMax M2.7 | 使用なし | 0日 |
| Muse Spark 1.2 Contributor | はい | ZDRではない |
| DeepSeek V4 Pro | 使用なし | 0日 |
| DeepSeek V4 Flash | 使用なし | 0日 |
| Hy3 | 使用なし | 0日 |
- **Grok 4.5:** ZDRでは、保存データに依存する重要なAPI機能(ステートフルなResponses API、Files and Collections、Batch APIなど)が無効になります。[詳しく見る](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr)。
- **GPT 5.6 Luna:** 不正使用監視ログはすべてのAPI機能の使用時に生成され、最大30日間保持されます。[詳しく見る](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring)。
- **Muse Spark 1.2 Contributor:** 将来のMetaモデルのトレーニングにプロンプトと生成結果を使用する許可と引き換えに、トークン料金が大幅に割引されます。[詳しく見る](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier)。
- **DeepSeek V4 Flash:** ZDR契約は毎月更新されます。現在の契約は2026年8月31日まで有効です。
---
+73 -66
View File
@@ -61,6 +61,7 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
아래 표는 일반적인 Go 사용 패턴을 기준으로 한 예상 요청 횟수를 보여줍니다.
| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
| ----------------- | ----------------- | -------------- | -------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
| -------------------------- | ----------------- | -------------- | -------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
이 예상치는 관찰된 요청 패턴을 기준으로 합니다.
@@ -118,6 +120,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
- DeepSeek V4 Flash — 요청당 입력 410, 캐시 71,300, 출력 토큰 310
- MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
- MiniMax M2.7 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- Muse Spark 1.2 Contributor — 요청당 입력 620, 캐시 71,400, 출력 토큰 300
- Qwen3.8 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.7 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
@@ -144,6 +147,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Peak 시간은 01:00-04:00 및 06:00-10:00 UTC이며, 그 외 모든 시간은 Off-Peak입니다. [자세히 알아보기](https://api-docs.deepseek.com/quick_start/pricing/).
@@ -190,28 +194,29 @@ Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공
다음 API 엔드포인트를 통해서도 Go 모델에 액세스할 수 있습니다.
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K3의 경우 config에서 `opencode-go/kimi-k3`를 사용하면 됩니다.
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## 개인정보 보호
| 모델 | 모델 학습 | 데이터 보존 |
| ----------------- | ------------- | ----------- |
| Grok 4.5 | 사용되지 않음 | 30일 |
| GPT 5.6 Luna | 사용되지 않음 | 30일 |
| GLM-5.3 | 사용되지 않음 | 0일 |
| GLM-5.2 | 사용되지 않음 | 0일 |
| GLM-5.1 | 사용되지 않음 | 0일 |
| Kimi K3 | 사용되지 않음 | 0일 |
| Kimi K2.7 Code | 사용되지 않음 | 0일 |
| Kimi K2.6 | 사용되지 않음 | 0일 |
| MiMo-V2.5-Pro | 사용되지 않음 | 0일 |
| MiMo-V2.5 | 사용되지 않음 | 0일 |
| Qwen3.8 Max | 사용되지 않음 | 0일 |
| Qwen3.7 Max | 사용되지 않음 | 0일 |
| Qwen3.7 Plus | 사용되지 않음 | 0일 |
| Qwen3.6 Plus | 사용되지 않음 | 0일 |
| MiniMax M3 | 사용되지 않음 | 0일 |
| MiniMax M2.7 | 사용되지 않음 | 0일 |
| DeepSeek V4 Pro | 사용되지 않음 | 0일 |
| DeepSeek V4 Flash | 사용되지 않음 | 0일 |
| Hy3 | 사용되지 않음 | 0일 |
| 모델 | 모델 학습 | 데이터 보존 |
| -------------------------- | ------------- | ----------- |
| Grok 4.5 | 사용되지 않음 | 30일 |
| GPT 5.6 Luna | 사용되지 않음 | 30일 |
| GLM-5.3 | 사용되지 않음 | 0일 |
| GLM-5.2 | 사용되지 않음 | 0일 |
| GLM-5.1 | 사용되지 않음 | 0일 |
| Kimi K3 | 사용되지 않음 | 0일 |
| Kimi K2.7 Code | 사용되지 않음 | 0일 |
| Kimi K2.6 | 사용되지 않음 | 0일 |
| MiMo-V2.5-Pro | 사용되지 않음 | 0일 |
| MiMo-V2.5 | 사용되지 않음 | 0일 |
| Qwen3.8 Max | 사용되지 않음 | 0일 |
| Qwen3.7 Max | 사용되지 않음 | 0일 |
| Qwen3.7 Plus | 사용되지 않음 | 0일 |
| Qwen3.6 Plus | 사용되지 않음 | 0일 |
| MiniMax M3 | 사용되지 않음 | 0일 |
| MiniMax M2.7 | 사용되지 않음 | 0일 |
| Muse Spark 1.2 Contributor | 예 | ZDR 아님 |
| DeepSeek V4 Pro | 사용되지 않음 | 0일 |
| DeepSeek V4 Flash | 사용되지 않음 | 0일 |
| Hy3 | 사용되지 않음 | 0일 |
- **Grok 4.5:** ZDR은 저장된 데이터에 의존하는 중요한 API 기능(상태 저장형 Responses API, Files and Collections, Batch API 포함)을 비활성화합니다. [자세히 알아보기](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** 모든 API 기능 사용에 대해 악용 모니터링 로그가 생성되며 최대 30일 동안 보존됩니다. [자세히 알아보기](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** 향후 Meta 모델 학습에 사용자의 프롬프트와 생성 결과를 사용할 수 있도록 허용하는 대신 토큰 가격이 대폭 할인됩니다. [자세히 알아보기](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** ZDR 계약은 매월 갱신됩니다. 현재 계약은 2026년 8월 31일까지 유효합니다.
---
+73 -66
View File
@@ -71,6 +71,7 @@ Den nåværende listen over modeller inkluderer:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -95,27 +96,28 @@ Grensene er definert i dollarverdi. Dette betyr at ditt faktiske antall forespø
Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksmønstre for Go:
| Model | forespørsler per 5 timer | forespørsler per uke | forespørsler per måned |
| ----------------- | ------------------------ | -------------------- | ---------------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | forespørsler per 5 timer | forespørsler per uke | forespørsler per måned |
| -------------------------- | ------------------------ | -------------------- | ---------------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Estimatene er basert på observerte forespørselsmønstre:
@@ -128,6 +130,7 @@ Estimatene er basert på observerte forespørselsmønstre:
- DeepSeek V4 Flash — 410 input, 71 300 bufret, 310 output-tokens per forespørsel
- MiniMax M3 — 510 input, 56 000 bufret, 190 output-tokens per forespørsel
- MiniMax M2.7 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- Muse Spark 1.2 Contributor — 620 input, 71 400 bufret, 300 output-tokens per forespørsel
- Qwen3.8 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
- Qwen3.7 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
- Qwen3.7 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
@@ -154,6 +157,7 @@ Estimatene er også basert på følgende priser per 1M tokens og den månedlige
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -162,8 +166,8 @@ Estimatene er også basert på følgende priser per 1M tokens og den månedlige
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Peak-tidene er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Les mer](https://api-docs.deepseek.com/quick_start/pricing/).
@@ -202,28 +206,29 @@ For disse modellene får du fortsatt litt mer enn om du betalte modellleverandø
Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| Modell | Modell-ID | Endepunkt | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Modell | Modell-ID | Endepunkt | AI SDK Package |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[Modell-ID-en](/docs/config/#models) i din OpenCode-konfigurasjon
bruker formatet `opencode-go/<model-id>`. For eksempel, for Kimi K3, vil du
@@ -243,30 +248,32 @@ https://opencode.ai/zen/go/v1/models
## Personvern
| Modell | Modelltrening | Dataoppbevaring |
| ----------------- | ------------- | --------------- |
| Grok 4.5 | Brukes ikke | 30 dager |
| GPT 5.6 Luna | Brukes ikke | 30 dager |
| GLM-5.3 | Brukes ikke | 0 dager |
| GLM-5.2 | Brukes ikke | 0 dager |
| GLM-5.1 | Brukes ikke | 0 dager |
| Kimi K3 | Brukes ikke | 0 dager |
| Kimi K2.7 Code | Brukes ikke | 0 dager |
| Kimi K2.6 | Brukes ikke | 0 dager |
| MiMo-V2.5-Pro | Brukes ikke | 0 dager |
| MiMo-V2.5 | Brukes ikke | 0 dager |
| Qwen3.8 Max | Brukes ikke | 0 dager |
| Qwen3.7 Max | Brukes ikke | 0 dager |
| Qwen3.7 Plus | Brukes ikke | 0 dager |
| Qwen3.6 Plus | Brukes ikke | 0 dager |
| MiniMax M3 | Brukes ikke | 0 dager |
| MiniMax M2.7 | Brukes ikke | 0 dager |
| DeepSeek V4 Pro | Brukes ikke | 0 dager |
| DeepSeek V4 Flash | Brukes ikke | 0 dager |
| Hy3 | Brukes ikke | 0 dager |
| Modell | Modelltrening | Dataoppbevaring |
| -------------------------- | ------------- | --------------- |
| Grok 4.5 | Brukes ikke | 30 dager |
| GPT 5.6 Luna | Brukes ikke | 30 dager |
| GLM-5.3 | Brukes ikke | 0 dager |
| GLM-5.2 | Brukes ikke | 0 dager |
| GLM-5.1 | Brukes ikke | 0 dager |
| Kimi K3 | Brukes ikke | 0 dager |
| Kimi K2.7 Code | Brukes ikke | 0 dager |
| Kimi K2.6 | Brukes ikke | 0 dager |
| MiMo-V2.5-Pro | Brukes ikke | 0 dager |
| MiMo-V2.5 | Brukes ikke | 0 dager |
| Qwen3.8 Max | Brukes ikke | 0 dager |
| Qwen3.7 Max | Brukes ikke | 0 dager |
| Qwen3.7 Plus | Brukes ikke | 0 dager |
| Qwen3.6 Plus | Brukes ikke | 0 dager |
| MiniMax M3 | Brukes ikke | 0 dager |
| MiniMax M2.7 | Brukes ikke | 0 dager |
| Muse Spark 1.2 Contributor | Ja | Ikke ZDR |
| DeepSeek V4 Pro | Brukes ikke | 0 dager |
| DeepSeek V4 Flash | Brukes ikke | 0 dager |
| Hy3 | Brukes ikke | 0 dager |
- **Grok 4.5:** ZDR deaktiverer viktige API-funksjoner som er avhengige av lagrede data, inkludert den tilstandsbaserte Responses API, Files and Collections og Batch API. [Les mer](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Logger for overvåking av misbruk genereres for all bruk av API-funksjoner og oppbevares i opptil 30 dager. [Les mer](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Kraftig rabatterte tokenpriser i bytte mot tillatelse til å bruke ledetekstene og fullføringene dine til å trene fremtidige Meta-modeller. [Les mer](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** ZDR-avtalen fornyes månedlig. Den gjeldende avtalen er gyldig til og med 31. august 2026.
---
+73 -66
View File
@@ -65,6 +65,7 @@ Obecna lista modeli obejmuje:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -89,27 +90,28 @@ Limity są zdefiniowane w wartości w dolarach. Oznacza to, że rzeczywista licz
Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych wzorców korzystania z Go:
| Model | żądania na 5 godzin | żądania na tydzień | żądania na miesiąc |
| ----------------- | ------------------- | ------------------ | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | żądania na 5 godzin | żądania na tydzień | żądania na miesiąc |
| -------------------------- | ------------------- | ------------------ | ------------------ |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Szacunki te opierają się na zaobserwowanych wzorcach żądań:
@@ -122,6 +124,7 @@ Szacunki te opierają się na zaobserwowanych wzorcach żądań:
- DeepSeek V4 Flash — 410 tokenów wejściowych, 71 300 w pamięci podręcznej, 310 tokenów wyjściowych na żądanie
- MiniMax M3 — 510 tokenów wejściowych, 56 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
- MiniMax M2.7 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- Muse Spark 1.2 Contributor — 620 tokenów wejściowych, 71 400 w pamięci podręcznej, 300 tokenów wyjściowych na żądanie
- Qwen3.8 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Qwen3.7 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Qwen3.7 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
@@ -148,6 +151,7 @@ Szacunki opierają się również na następujących cenach za 1M tokenów oraz
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -156,8 +160,8 @@ Szacunki opierają się również na następujących cenach za 1M tokenów oraz
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Godziny Peak to 01:00-04:00 i 06:00-10:00 UTC; wszystkie pozostałe godziny to Off-Peak. [Dowiedz się więcej](https://api-docs.deepseek.com/quick_start/pricing/).
@@ -194,28 +198,29 @@ W przypadku tych modeli nadal otrzymujesz nieco więcej, niż płacąc bezpośre
Możesz również uzyskać dostęp do modeli Go za pośrednictwem następujących punktów końcowych API.
| Model | ID modelu | Punkt końcowy | Pakiet AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | ID modelu | Punkt końcowy | Pakiet AI SDK |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode
używa formatu `opencode-go/<model-id>`. Na przykład dla Kimi K3 należy użyć
@@ -235,30 +240,32 @@ https://opencode.ai/zen/go/v1/models
## Prywatność
| Model | Trenowanie modelu | Retencja danych |
| ----------------- | ----------------- | --------------- |
| Grok 4.5 | Niewykorzystywane | 30 dni |
| GPT 5.6 Luna | Niewykorzystywane | 30 dni |
| GLM-5.3 | Niewykorzystywane | 0 dni |
| GLM-5.2 | Niewykorzystywane | 0 dni |
| GLM-5.1 | Niewykorzystywane | 0 dni |
| Kimi K3 | Niewykorzystywane | 0 dni |
| Kimi K2.7 Code | Niewykorzystywane | 0 dni |
| Kimi K2.6 | Niewykorzystywane | 0 dni |
| MiMo-V2.5-Pro | Niewykorzystywane | 0 dni |
| MiMo-V2.5 | Niewykorzystywane | 0 dni |
| Qwen3.8 Max | Niewykorzystywane | 0 dni |
| Qwen3.7 Max | Niewykorzystywane | 0 dni |
| Qwen3.7 Plus | Niewykorzystywane | 0 dni |
| Qwen3.6 Plus | Niewykorzystywane | 0 dni |
| MiniMax M3 | Niewykorzystywane | 0 dni |
| MiniMax M2.7 | Niewykorzystywane | 0 dni |
| DeepSeek V4 Pro | Niewykorzystywane | 0 dni |
| DeepSeek V4 Flash | Niewykorzystywane | 0 dni |
| Hy3 | Niewykorzystywane | 0 dni |
| Model | Trenowanie modelu | Retencja danych |
| -------------------------- | ----------------- | --------------- |
| Grok 4.5 | Niewykorzystywane | 30 dni |
| GPT 5.6 Luna | Niewykorzystywane | 30 dni |
| GLM-5.3 | Niewykorzystywane | 0 dni |
| GLM-5.2 | Niewykorzystywane | 0 dni |
| GLM-5.1 | Niewykorzystywane | 0 dni |
| Kimi K3 | Niewykorzystywane | 0 dni |
| Kimi K2.7 Code | Niewykorzystywane | 0 dni |
| Kimi K2.6 | Niewykorzystywane | 0 dni |
| MiMo-V2.5-Pro | Niewykorzystywane | 0 dni |
| MiMo-V2.5 | Niewykorzystywane | 0 dni |
| Qwen3.8 Max | Niewykorzystywane | 0 dni |
| Qwen3.7 Max | Niewykorzystywane | 0 dni |
| Qwen3.7 Plus | Niewykorzystywane | 0 dni |
| Qwen3.6 Plus | Niewykorzystywane | 0 dni |
| MiniMax M3 | Niewykorzystywane | 0 dni |
| MiniMax M2.7 | Niewykorzystywane | 0 dni |
| Muse Spark 1.2 Contributor | Tak | Nie ZDR |
| DeepSeek V4 Pro | Niewykorzystywane | 0 dni |
| DeepSeek V4 Flash | Niewykorzystywane | 0 dni |
| Hy3 | Niewykorzystywane | 0 dni |
- **Grok 4.5:** ZDR wyłącza ważne funkcje API zależne od przechowywanych danych, w tym stanowy Responses API, Files and Collections oraz Batch API. [Dowiedz się więcej](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Dzienniki monitorowania nadużyć są generowane dla każdego użycia funkcji API i przechowywane przez maksymalnie 30 dni. [Dowiedz się więcej](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Znacznie obniżone ceny tokenów w zamian za zgodę na wykorzystanie Twoich promptów i odpowiedzi do trenowania przyszłych modeli Meta. [Dowiedz się więcej](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** Umowa ZDR jest odnawiana co miesiąc. Obecna umowa obowiązuje do 31 sierpnia 2026 r.
---
+33 -8
View File
@@ -457,14 +457,6 @@ If you encounter "I'm sorry, but I cannot assist with that request" errors, try
/models
```
#### Microsoft Entra ID (Azure CLI)
You can use your Azure CLI session instead of an API key. [Install the Azure CLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli), run `az login`, then select **Microsoft Entra ID (Azure CLI)** when connecting the **Azure** provider and enter the same Resource name.
OpenCode finds the Resource group and discovers its deployed models from the active Azure CLI subscription. Run `az account set --subscription NAME_OR_ID` first if the Resource is in a different subscription.
Assign your identity the inference role required by the deployment: **Cognitive Services OpenAI User** for Azure OpenAI models or **Cognitive Services User** for other Foundry models. OpenCode refreshes access tokens through the Azure CLI, so you only need to sign in again when the CLI session expires.
---
### Azure Cognitive Services
@@ -1726,6 +1718,10 @@ We recommend signing up for [ChatGPT Plus or Pro](https://chatgpt.com/pricing).
/models
```
##### Compute residency
For ChatGPT OAuth, OpenCode automatically applies a regional inference residency requirement when one is advertised by your workspace credentials. It forwards the compute residency value from the credential instead of maintaining a fixed list of regions. Data residency at rest does not imply regional inference.
##### Using API keys
If you already have an API key, you can select **Manually enter API Key** and paste it in your terminal.
@@ -2101,6 +2097,35 @@ To use [Scaleway Generative APIs](https://www.scaleway.com/en/docs/generative-ap
---
### SCX.ai
[SCX.ai](https://scx.ai) is an Australian sovereign AI platform serving open models over an OpenAI-compatible API, hosted on renewable-powered infrastructure in Australia.
1. Head over to the [SCX.ai platform](https://platform.scx.ai) to create an account and generate an API key.
2. Run the `/connect` command and search for **SCX.ai**.
```txt
/connect
```
3. Enter your SCX.ai API key.
```txt
┌ API key
└ enter
```
4. Run the `/models` command to select a model like _MiniMax-M2.7_ or _GLM-5.2_.
```txt
/models
```
---
### Snowflake Cortex
[Snowflake Cortex](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-rest-api) gives you access to frontier models (Claude, OpenAI GPT-5, and more) via an OpenAI-compatible API. All inference runs within the Snowflake perimeter and is billed in Snowflake credits. For per-model rates, see the [Snowflake Service Consumption Table](https://www.snowflake.com/legal-files/CreditConsumptionTable.pdf).
+73 -66
View File
@@ -71,6 +71,7 @@ A lista atual de modelos inclui:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -95,27 +96,28 @@ Os limites são definidos em valor em dólares. Isso significa que a sua contage
A tabela abaixo fornece uma contagem estimada de requisições com base nos padrões típicos de uso do Go:
| Model | requisições por 5 horas | requisições por semana | requisições por mês |
| ----------------- | ----------------------- | ---------------------- | ------------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | requisições por 5 horas | requisições por semana | requisições por mês |
| -------------------------- | ----------------------- | ---------------------- | ------------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
As estimativas se baseiam nos padrões de requisições observados:
@@ -128,6 +130,7 @@ As estimativas se baseiam nos padrões de requisições observados:
- DeepSeek V4 Flash — 410 tokens de entrada, 71.300 em cache, 310 tokens de saída por requisição
- MiniMax M3 — 510 tokens de entrada, 56.000 em cache, 190 tokens de saída por requisição
- MiniMax M2.7 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- Muse Spark 1.2 Contributor — 620 tokens de entrada, 71.400 em cache, 300 tokens de saída por requisição
- Qwen3.8 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
- Qwen3.7 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
- Qwen3.7 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
@@ -154,6 +157,7 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso m
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -162,8 +166,8 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso m
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Os horários Peak são 01:00-04:00 e 06:00-10:00 UTC; todos os demais horários são Off-Peak. [Saiba mais](https://api-docs.deepseek.com/quick_start/pricing/).
@@ -202,28 +206,29 @@ Para esses modelos, você ainda recebe um pouco mais do que receberia se pagasse
Você também pode acessar os modelos do Go através dos seguintes endpoints de API.
| Modelo | ID do Modelo | Endpoint | Pacote do AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Modelo | ID do Modelo | Endpoint | Pacote do AI SDK |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
O [ID do modelo](/docs/config/#models) na sua configuração do OpenCode
usa o formato `opencode-go/<model-id>`. Por exemplo, para o Kimi K3, você usaria
@@ -243,30 +248,32 @@ https://opencode.ai/zen/go/v1/models
## Privacidade
| Modelo | Treinamento de modelos | Retenção de dados |
| ----------------- | ---------------------- | ----------------- |
| Grok 4.5 | Não usado | 30 dias |
| GPT 5.6 Luna | Não usado | 30 dias |
| GLM-5.3 | Não usado | 0 dias |
| GLM-5.2 | Não usado | 0 dias |
| GLM-5.1 | Não usado | 0 dias |
| Kimi K3 | Não usado | 0 dias |
| Kimi K2.7 Code | Não usado | 0 dias |
| Kimi K2.6 | Não usado | 0 dias |
| MiMo-V2.5-Pro | Não usado | 0 dias |
| MiMo-V2.5 | Não usado | 0 dias |
| Qwen3.8 Max | Não usado | 0 dias |
| Qwen3.7 Max | Não usado | 0 dias |
| Qwen3.7 Plus | Não usado | 0 dias |
| Qwen3.6 Plus | Não usado | 0 dias |
| MiniMax M3 | Não usado | 0 dias |
| MiniMax M2.7 | Não usado | 0 dias |
| DeepSeek V4 Pro | Não usado | 0 dias |
| DeepSeek V4 Flash | Não usado | 0 dias |
| Hy3 | Não usado | 0 dias |
| Modelo | Treinamento de modelos | Retenção de dados |
| -------------------------- | ---------------------- | ----------------- |
| Grok 4.5 | Não usado | 30 dias |
| GPT 5.6 Luna | Não usado | 30 dias |
| GLM-5.3 | Não usado | 0 dias |
| GLM-5.2 | Não usado | 0 dias |
| GLM-5.1 | Não usado | 0 dias |
| Kimi K3 | Não usado | 0 dias |
| Kimi K2.7 Code | Não usado | 0 dias |
| Kimi K2.6 | Não usado | 0 dias |
| MiMo-V2.5-Pro | Não usado | 0 dias |
| MiMo-V2.5 | Não usado | 0 dias |
| Qwen3.8 Max | Não usado | 0 dias |
| Qwen3.7 Max | Não usado | 0 dias |
| Qwen3.7 Plus | Não usado | 0 dias |
| Qwen3.6 Plus | Não usado | 0 dias |
| MiniMax M3 | Não usado | 0 dias |
| MiniMax M2.7 | Não usado | 0 dias |
| Muse Spark 1.2 Contributor | Sim | Não é ZDR |
| DeepSeek V4 Pro | Não usado | 0 dias |
| DeepSeek V4 Flash | Não usado | 0 dias |
| Hy3 | Não usado | 0 dias |
- **Grok 4.5:** O ZDR desativa recursos importantes da API que dependem de dados armazenados, incluindo a Responses API com estado, Files and Collections e a Batch API. [Saiba mais](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Logs de monitoramento de abuso são gerados para todo uso de recursos da API e retidos por até 30 dias. [Saiba mais](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Preços de tokens com grandes descontos em troca da permissão para usar seus prompts e respostas geradas para treinar futuros modelos da Meta. [Saiba mais](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** O acordo de ZDR é renovado mensalmente. O acordo atual é válido até 31 de agosto de 2026.
---
+73 -66
View File
@@ -71,6 +71,7 @@ OpenCode Go работает так же, как и любой другой пр
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -95,27 +96,28 @@ OpenCode Go включает следующие лимиты:
В таблице ниже приведено примерное количество запросов на основе типичных сценариев использования Go:
| Model | запросов за 5 часов | запросов в неделю | запросов в месяц |
| ----------------- | ------------------- | ----------------- | ---------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | запросов за 5 часов | запросов в неделю | запросов в месяц |
| -------------------------- | ------------------- | ----------------- | ---------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Эти оценки основаны на наблюдаемых показателях запросов:
@@ -128,6 +130,7 @@ OpenCode Go включает следующие лимиты:
- DeepSeek V4 Flash — 410 входных, 71,300 кешированных, 310 выходных токенов на запрос
- MiniMax M3 — 510 входных, 56,000 кешированных, 190 выходных токенов на запрос
- MiniMax M2.7 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- Muse Spark 1.2 Contributor — 620 входных, 71,400 кешированных, 300 выходных токенов на запрос
- Qwen3.8 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
- Qwen3.7 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
- Qwen3.7 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
@@ -154,6 +157,7 @@ OpenCode Go включает следующие лимиты:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -162,8 +166,8 @@ OpenCode Go включает следующие лимиты:
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Часы Peak: 01:00-04:00 и 06:00-10:00 UTC; все остальные часы относятся к Off-Peak. [Подробнее](https://api-docs.deepseek.com/quick_start/pricing/).
@@ -202,28 +206,29 @@ OpenCode Go включает следующие лимиты:
Вы также можете получить доступ к моделям Go через следующие API-эндпоинты.
| Модель | ID модели | Эндпоинт | Пакет AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Модель | ID модели | Эндпоинт | Пакет AI SDK |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[ID модели](/docs/config/#models) в вашем конфиге OpenCode
использует формат `opencode-go/<model-id>`. Например, для Kimi K3 вам нужно
@@ -243,30 +248,32 @@ https://opencode.ai/zen/go/v1/models
## Конфиденциальность
| Модель | Обучение моделей | Хранение данных |
| ----------------- | ---------------- | --------------- |
| Grok 4.5 | Не используется | 30 дней |
| GPT 5.6 Luna | Не используется | 30 дней |
| GLM-5.3 | Не используется | 0 дней |
| GLM-5.2 | Не используется | 0 дней |
| GLM-5.1 | Не используется | 0 дней |
| Kimi K3 | Не используется | 0 дней |
| Kimi K2.7 Code | Не используется | 0 дней |
| Kimi K2.6 | Не используется | 0 дней |
| MiMo-V2.5-Pro | Не используется | 0 дней |
| MiMo-V2.5 | Не используется | 0 дней |
| Qwen3.8 Max | Не используется | 0 дней |
| Qwen3.7 Max | Не используется | 0 дней |
| Qwen3.7 Plus | Не используется | 0 дней |
| Qwen3.6 Plus | Не используется | 0 дней |
| MiniMax M3 | Не используется | 0 дней |
| MiniMax M2.7 | Не используется | 0 дней |
| DeepSeek V4 Pro | Не используется | 0 дней |
| DeepSeek V4 Flash | Не используется | 0 дней |
| Hy3 | Не используется | 0 дней |
| Модель | Обучение моделей | Хранение данных |
| -------------------------- | ---------------- | --------------- |
| Grok 4.5 | Не используется | 30 дней |
| GPT 5.6 Luna | Не используется | 30 дней |
| GLM-5.3 | Не используется | 0 дней |
| GLM-5.2 | Не используется | 0 дней |
| GLM-5.1 | Не используется | 0 дней |
| Kimi K3 | Не используется | 0 дней |
| Kimi K2.7 Code | Не используется | 0 дней |
| Kimi K2.6 | Не используется | 0 дней |
| MiMo-V2.5-Pro | Не используется | 0 дней |
| MiMo-V2.5 | Не используется | 0 дней |
| Qwen3.8 Max | Не используется | 0 дней |
| Qwen3.7 Max | Не используется | 0 дней |
| Qwen3.7 Plus | Не используется | 0 дней |
| Qwen3.6 Plus | Не используется | 0 дней |
| MiniMax M3 | Не используется | 0 дней |
| MiniMax M2.7 | Не используется | 0 дней |
| Muse Spark 1.2 Contributor | Да | Не ZDR |
| DeepSeek V4 Pro | Не используется | 0 дней |
| DeepSeek V4 Flash | Не используется | 0 дней |
| Hy3 | Не используется | 0 дней |
- **Grok 4.5:** ZDR отключает важные функции API, зависящие от сохраненных данных, включая Responses API с сохранением состояния, Files and Collections и Batch API. [Подробнее](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Журналы мониторинга злоупотреблений создаются при любом использовании функций API и хранятся до 30 дней. [Подробнее](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** Значительно сниженная стоимость токенов в обмен на разрешение использовать ваши промпты и ответы для обучения будущих моделей Meta. [Подробнее](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** Соглашение ZDR продлевается ежемесячно. Текущее соглашение действует до 31 августа 2026 года.
---
+73 -66
View File
@@ -61,6 +61,7 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
ตารางด้านล่างแสดงจำนวน request โดยประมาณตามรูปแบบการใช้งานปกติของ Go:
| Model | requests ต่อ 5 ชั่วโมง | requests ต่อสัปดาห์ | requests ต่อเดือน |
| ----------------- | ---------------------- | ------------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | requests ต่อ 5 ชั่วโมง | requests ต่อสัปดาห์ | requests ต่อเดือน |
| -------------------------- | ---------------------- | ------------------- | ----------------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
การประมาณการนี้อ้างอิงจากรูปแบบการใช้งาน request ที่สังเกตพบ:
@@ -118,6 +120,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
- DeepSeek V4 Flash — 410 input, 71,300 cached, 310 output tokens ต่อ request
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens ต่อ request
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- Muse Spark 1.2 Contributor — 620 input, 71,400 cached, 300 output tokens ต่อ request
- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
@@ -144,6 +147,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** ช่วงเวลา Peak คือ 01:00-04:00 และ 06:00-10:00 UTC ส่วนเวลาอื่นทั้งหมดเป็น Off-Peak [ดูข้อมูลเพิ่มเติม](https://api-docs.deepseek.com/quick_start/pricing/)
@@ -190,28 +194,29 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
คุณสามารถเข้าถึงโมเดลของ Go ผ่าน API endpoints ต่อไปนี้ได้เช่นกัน
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | Model ID | Endpoint | AI SDK Package |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณจะใช้รูปแบบ `opencode-go/<model-id>` ตัวอย่างเช่น สำหรับ Kimi K3 คุณจะใช้ `opencode-go/kimi-k3` ใน config ของคุณ
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## Privacy
| โมเดล | การฝึกโมเดล | การเก็บรักษาข้อมูล |
| ----------------- | ----------- | ------------------ |
| Grok 4.5 | ไม่นำไปใช้ | 30 วัน |
| GPT 5.6 Luna | ไม่นำไปใช้ | 30 วัน |
| GLM-5.3 | ไม่นำไปใช้ | 0 วัน |
| GLM-5.2 | ไม่นำไปใช้ | 0 วัน |
| GLM-5.1 | ไม่นำไปใช้ | 0 วัน |
| Kimi K3 | ไม่นำไปใช้ | 0 วัน |
| Kimi K2.7 Code | ไม่นำไปใช้ | 0 วัน |
| Kimi K2.6 | ไม่นำไปใช้ | 0 วัน |
| MiMo-V2.5-Pro | ไม่นำไปใช้ | 0 วัน |
| MiMo-V2.5 | ไม่นำไปใช้ | 0 วัน |
| Qwen3.8 Max | ไม่นำไปใช้ | 0 วัน |
| Qwen3.7 Max | ไม่นำไปใช้ | 0 วัน |
| Qwen3.7 Plus | ไม่นำไปใช้ | 0 วัน |
| Qwen3.6 Plus | ไม่นำไปใช้ | 0 วัน |
| MiniMax M3 | ไม่นำไปใช้ | 0 วัน |
| MiniMax M2.7 | ไม่นำไปใช้ | 0 วัน |
| DeepSeek V4 Pro | ไม่นำไปใช้ | 0 วัน |
| DeepSeek V4 Flash | ไม่นำไปใช้ | 0 วัน |
| Hy3 | ไม่นำไปใช้ | 0 วัน |
| โมเดล | การฝึกโมเดล | การเก็บรักษาข้อมูล |
| -------------------------- | ----------- | ------------------ |
| Grok 4.5 | ไม่นำไปใช้ | 30 วัน |
| GPT 5.6 Luna | ไม่นำไปใช้ | 30 วัน |
| GLM-5.3 | ไม่นำไปใช้ | 0 วัน |
| GLM-5.2 | ไม่นำไปใช้ | 0 วัน |
| GLM-5.1 | ไม่นำไปใช้ | 0 วัน |
| Kimi K3 | ไม่นำไปใช้ | 0 วัน |
| Kimi K2.7 Code | ไม่นำไปใช้ | 0 วัน |
| Kimi K2.6 | ไม่นำไปใช้ | 0 วัน |
| MiMo-V2.5-Pro | ไม่นำไปใช้ | 0 วัน |
| MiMo-V2.5 | ไม่นำไปใช้ | 0 วัน |
| Qwen3.8 Max | ไม่นำไปใช้ | 0 วัน |
| Qwen3.7 Max | ไม่นำไปใช้ | 0 วัน |
| Qwen3.7 Plus | ไม่นำไปใช้ | 0 วัน |
| Qwen3.6 Plus | ไม่นำไปใช้ | 0 วัน |
| MiniMax M3 | ไม่นำไปใช้ | 0 วัน |
| MiniMax M2.7 | ไม่นำไปใช้ | 0 วัน |
| Muse Spark 1.2 Contributor | ใช่ | ไม่ใช่ ZDR |
| DeepSeek V4 Pro | ไม่นำไปใช้ | 0 วัน |
| DeepSeek V4 Flash | ไม่นำไปใช้ | 0 วัน |
| Hy3 | ไม่นำไปใช้ | 0 วัน |
- **Grok 4.5:** ZDR ปิดใช้งานฟีเจอร์ API สำคัญที่ต้องอาศัยข้อมูลที่จัดเก็บไว้ ซึ่งรวมถึง Responses API แบบมีสถานะ, Files and Collections และ Batch API [ดูข้อมูลเพิ่มเติม](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr)
- **GPT 5.6 Luna:** ระบบจะสร้างบันทึกการตรวจสอบการใช้งานในทางที่ผิดสำหรับการใช้งานฟีเจอร์ API ทั้งหมด และเก็บรักษาไว้นานสูงสุด 30 วัน [ดูข้อมูลเพิ่มเติม](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring)
- **Muse Spark 1.2 Contributor:** ราคาของ token ลดลงอย่างมาก โดยแลกกับการอนุญาตให้นำพรอมต์และผลลัพธ์ที่สร้างขึ้นของคุณไปใช้ฝึกโมเดล Meta ในอนาคต [ดูข้อมูลเพิ่มเติม](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier)
- **DeepSeek V4 Flash:** ข้อตกลง ZDR จะต่ออายุทุกเดือน ข้อตกลงปัจจุบันมีผลใช้ถึงวันที่ 31 สิงหาคม 2026
---
+73 -66
View File
@@ -61,6 +61,7 @@ Mevcut model listesi şunları içerir:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ Limitler dolar değeri üzerinden belirlenmiştir. Bu, gerçek istek sayınızı
Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek sayısı sunmaktadır:
| Model | 5 saatte bir istek | haftalık istek | aylık istek |
| ----------------- | ------------------ | -------------- | ----------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | 5 saatte bir istek | haftalık istek | aylık istek |
| -------------------------- | ------------------ | -------------- | ----------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
Tahminler, gözlemlenen istek modellerine dayanır:
@@ -118,6 +120,7 @@ Tahminler, gözlemlenen istek modellerine dayanır:
- DeepSeek V4 Flash — İstek başına 410 girdi, 71.300 önbelleğe alınmış, 310 çıktı token'ı
- MiniMax M3 — İstek başına 510 girdi, 56.000 önbelleğe alınmış, 190 çıktı token'ı
- MiniMax M2.7 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- Muse Spark 1.2 Contributor — İstek başına 620 girdi, 71.400 önbelleğe alınmış, 300 çıktı token'ı
- Qwen3.8 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
- Qwen3.7 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
- Qwen3.7 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
@@ -144,6 +147,7 @@ Tahminler ayrıca 1M token başına aşağıdaki fiyatlara ve her modelle birlik
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ Tahminler ayrıca 1M token başına aşağıdaki fiyatlara ve her modelle birlik
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Peak saatleri 01:00-04:00 ve 06:00-10:00 UTC'dir; diğer tüm saatler Off-Peak'tir. [Daha fazla bilgi](https://api-docs.deepseek.com/quick_start/pricing/).
@@ -190,28 +194,29 @@ Bu modellerde bile model sağlayıcılarına doğrudan ödeme yaptığınız dur
Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsiniz.
| Model | Model ID | Uç Nokta | AI SDK Paketi |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Model | Model ID | Uç Nokta | AI SDK Paketi |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) formatı `opencode-go/<model-id>` şeklindedir. Örneğin, Kimi K3 için yapılandırmanızda `opencode-go/kimi-k3` kullanmalısınız.
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## Gizlilik
| Model | Model eğitimi | Veri saklama |
| ----------------- | ------------- | ------------ |
| Grok 4.5 | Kullanılmaz | 30 gün |
| GPT 5.6 Luna | Kullanılmaz | 30 gün |
| GLM-5.3 | Kullanılmaz | 0 gün |
| GLM-5.2 | Kullanılmaz | 0 gün |
| GLM-5.1 | Kullanılmaz | 0 gün |
| Kimi K3 | Kullanılmaz | 0 gün |
| Kimi K2.7 Code | Kullanılmaz | 0 gün |
| Kimi K2.6 | Kullanılmaz | 0 gün |
| MiMo-V2.5-Pro | Kullanılmaz | 0 gün |
| MiMo-V2.5 | Kullanılmaz | 0 gün |
| Qwen3.8 Max | Kullanılmaz | 0 gün |
| Qwen3.7 Max | Kullanılmaz | 0 gün |
| Qwen3.7 Plus | Kullanılmaz | 0 gün |
| Qwen3.6 Plus | Kullanılmaz | 0 gün |
| MiniMax M3 | Kullanılmaz | 0 gün |
| MiniMax M2.7 | Kullanılmaz | 0 gün |
| DeepSeek V4 Pro | Kullanılmaz | 0 gün |
| DeepSeek V4 Flash | Kullanılmaz | 0 gün |
| Hy3 | Kullanılmaz | 0 gün |
| Model | Model eğitimi | Veri saklama |
| -------------------------- | ------------- | ------------ |
| Grok 4.5 | Kullanılmaz | 30 gün |
| GPT 5.6 Luna | Kullanılmaz | 30 gün |
| GLM-5.3 | Kullanılmaz | 0 gün |
| GLM-5.2 | Kullanılmaz | 0 gün |
| GLM-5.1 | Kullanılmaz | 0 gün |
| Kimi K3 | Kullanılmaz | 0 gün |
| Kimi K2.7 Code | Kullanılmaz | 0 gün |
| Kimi K2.6 | Kullanılmaz | 0 gün |
| MiMo-V2.5-Pro | Kullanılmaz | 0 gün |
| MiMo-V2.5 | Kullanılmaz | 0 gün |
| Qwen3.8 Max | Kullanılmaz | 0 gün |
| Qwen3.7 Max | Kullanılmaz | 0 gün |
| Qwen3.7 Plus | Kullanılmaz | 0 gün |
| Qwen3.6 Plus | Kullanılmaz | 0 gün |
| MiniMax M3 | Kullanılmaz | 0 gün |
| MiniMax M2.7 | Kullanılmaz | 0 gün |
| Muse Spark 1.2 Contributor | Evet | ZDR değil |
| DeepSeek V4 Pro | Kullanılmaz | 0 gün |
| DeepSeek V4 Flash | Kullanılmaz | 0 gün |
| Hy3 | Kullanılmaz | 0 gün |
- **Grok 4.5:** ZDR, durum bilgisi tutan Responses API, Files and Collections ve Batch API dahil olmak üzere saklanan verilere bağlı önemli API özelliklerini devre dışı bırakır. [Daha fazla bilgi](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Tüm API özelliklerinin kullanımı için kötüye kullanım izleme günlükleri oluşturulur ve 30 güne kadar saklanır. [Daha fazla bilgi](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2 Contributor:** İstemlerinizi ve tamamlamalarınızı gelecekteki Meta modellerini eğitmek için kullanma izni karşılığında büyük ölçüde indirimli token fiyatları. [Daha fazla bilgi](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
- **DeepSeek V4 Flash:** ZDR anlaşması aylık olarak yenilenir. Mevcut anlaşma 31 Ağustos 2026 tarihine kadar geçerlidir.
---
+73 -66
View File
@@ -61,6 +61,7 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ OpenCode Go 包含以下限制:
下表提供了基于典型 Go 使用模式的预估请求数:
| Model | 每 5 小时请求数 | 每周请求数 | 每月请求数 |
| ----------------- | --------------- | ---------- | ---------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | 每 5 小时请求数 | 每周请求数 | 每月请求数 |
| -------------------------- | --------------- | ---------- | ---------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
预估值基于观察到的请求模式:
@@ -120,6 +122,7 @@ OpenCode Go 包含以下限制:
- MiMo-V2.5-Pro — 每次请求 790 个输入 token86,000 个缓存 token305 个输出 token
- MiniMax M3 — 每次请求 510 个输入 token56,000 个缓存 token190 个输出 token
- MiniMax M2.7 — 每次请求 300 个输入 token55,000 个缓存 token125 个输出 token
- Muse Spark 1.2 Contributor — 每次请求 620 个输入 token71,400 个缓存 token300 个输出 token
- Qwen3.8 Max — 每次请求 420 个输入 token66,000 个缓存 token200 个输出 token
- Qwen3.7 Max — 每次请求 420 个输入 token66,000 个缓存 token200 个输出 token
- Qwen3.7 Plus — 每次请求 500 个输入 token57,000 个缓存 token190 个输出 token
@@ -144,6 +147,7 @@ OpenCode Go 包含以下限制:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ OpenCode Go 包含以下限制:
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Peak 时段为 01:00-04:00 和 06:00-10:00 UTC;其他所有时段均为 Off-Peak。[了解更多](https://api-docs.deepseek.com/quick_start/pricing/)。
@@ -190,28 +194,29 @@ OpenCode Go 包含以下限制:
你也可以通过以下 API 端点访问 Go 模型。
| 模型 | 模型 ID | 端点 | AI SDK 包 |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 模型 | 模型 ID | 端点 | AI SDK 包 |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
你的 OpenCode 配置中的 [模型 ID](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如,对于 Kimi K3,你将在配置中使用 `opencode-go/kimi-k3`。
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## 隐私保护
| 模型 | 模型训练 | 数据留存 |
| ----------------- | -------- | -------- |
| Grok 4.5 | 不使用 | 30 天 |
| GPT 5.6 Luna | 不使用 | 30 天 |
| GLM-5.3 | 不使用 | 0 天 |
| GLM-5.2 | 不使用 | 0 天 |
| GLM-5.1 | 不使用 | 0 天 |
| Kimi K3 | 不使用 | 0 天 |
| Kimi K2.7 Code | 不使用 | 0 天 |
| Kimi K2.6 | 不使用 | 0 天 |
| MiMo-V2.5-Pro | 不使用 | 0 天 |
| MiMo-V2.5 | 不使用 | 0 天 |
| Qwen3.8 Max | 不使用 | 0 天 |
| Qwen3.7 Max | 不使用 | 0 天 |
| Qwen3.7 Plus | 不使用 | 0 天 |
| Qwen3.6 Plus | 不使用 | 0 天 |
| MiniMax M3 | 不使用 | 0 天 |
| MiniMax M2.7 | 不使用 | 0 天 |
| DeepSeek V4 Pro | 不使用 | 0 天 |
| DeepSeek V4 Flash | 不使用 | 0 天 |
| Hy3 | 不使用 | 0 天 |
| 模型 | 模型训练 | 数据留存 |
| -------------------------- | -------- | -------- |
| Grok 4.5 | 不使用 | 30 天 |
| GPT 5.6 Luna | 不使用 | 30 天 |
| GLM-5.3 | 不使用 | 0 天 |
| GLM-5.2 | 不使用 | 0 天 |
| GLM-5.1 | 不使用 | 0 天 |
| Kimi K3 | 不使用 | 0 天 |
| Kimi K2.7 Code | 不使用 | 0 天 |
| Kimi K2.6 | 不使用 | 0 天 |
| MiMo-V2.5-Pro | 不使用 | 0 天 |
| MiMo-V2.5 | 不使用 | 0 天 |
| Qwen3.8 Max | 不使用 | 0 天 |
| Qwen3.7 Max | 不使用 | 0 天 |
| Qwen3.7 Plus | 不使用 | 0 天 |
| Qwen3.6 Plus | 不使用 | 0 天 |
| MiniMax M3 | 不使用 | 0 天 |
| MiniMax M2.7 | 不使用 | 0 天 |
| Muse Spark 1.2 Contributor | 是 | 非 ZDR |
| DeepSeek V4 Pro | 不使用 | 0 天 |
| DeepSeek V4 Flash | 不使用 | 0 天 |
| Hy3 | 不使用 | 0 天 |
- **Grok 4.5:** ZDR 会禁用依赖所存储数据的重要 API 功能,包括有状态的 Responses API、Files and Collections 和 Batch API。[了解更多](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr)。
- **GPT 5.6 Luna:** 所有 API 功能的使用都会生成滥用监控日志,并最多保留 30 天。[了解更多](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring)。
- **Muse Spark 1.2 Contributor:** 以允许使用你的提示词和补全结果训练未来的 Meta 模型为交换,token 价格可获得大幅折扣。[了解更多](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier)。
- **DeepSeek V4 Flash:** ZDR 协议每月续签。当前协议有效期至 2026 年 8 月 31 日。
---
+73 -66
View File
@@ -61,6 +61,7 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Muse Spark 1.2 Contributor**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
@@ -85,27 +86,28 @@ OpenCode Go 包含以下限制:
下表提供了基於典型 Go 使用模式的預估請求次數:
| Model | 每 5 小時請求數 | 每週請求數 | 每月請求數 |
| ----------------- | --------------- | ---------- | ---------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 3,800 | 9,450 | 18,900 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| Model | 每 5 小時請求數 | 每週請求數 | 每月請求數 |
| -------------------------- | --------------- | ---------- | ---------- |
| Grok 4.5 | 120 | 300 | 600 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| GLM-5.3 | 220 | 540 | 1,080 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| Kimi K3 | 110 | 250 | 490 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Hy3 | 4,300 | 10,750 | 21,500 |
這些預估值是基於觀察到的請求模式:
@@ -118,6 +120,7 @@ OpenCode Go 包含以下限制:
- DeepSeek V4 Flash — 每次請求 410 個輸入 token、71,300 個快取 token、310 個輸出 token
- MiniMax M3 — 每次請求 510 個輸入 token、56,000 個快取 token、190 個輸出 token
- MiniMax M2.7 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- Muse Spark 1.2 Contributor — 每次請求 620 個輸入 token、71,400 個快取 token、300 個輸出 token
- Qwen3.8 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
- Qwen3.7 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
- Qwen3.7 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
@@ -144,6 +147,7 @@ OpenCode Go 包含以下限制:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
@@ -152,8 +156,8 @@ OpenCode Go 包含以下限制:
| 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 | - | $15 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $15 |
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
**DeepSeek V4 Flash / Pro:** Peak 時段為 01:00-04:00 和 06:00-10:00 UTC;其他所有時段均為 Off-Peak。[了解更多](https://api-docs.deepseek.com/quick_start/pricing/)。
@@ -190,28 +194,29 @@ OpenCode Go 包含以下限制:
您也可以透過以下 API 端點存取 Go 模型。
| 模型 | 模型 ID | 端點 | AI SDK 套件 |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 模型 | 模型 ID | 端點 | AI SDK 套件 |
| -------------------------- | -------------------------- | ------------------------------------------------ | --------------------------- |
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
您的 OpenCode 設定中的 [model id](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如,Kimi K3 在設定中應使用 `opencode-go/kimi-k3`。
@@ -229,30 +234,32 @@ https://opencode.ai/zen/go/v1/models
## 隱私權
| 模型 | 模型訓練 | 資料保留 |
| ----------------- | -------- | -------- |
| Grok 4.5 | 不使用 | 30 天 |
| GPT 5.6 Luna | 不使用 | 30 天 |
| GLM-5.3 | 不使用 | 0 天 |
| GLM-5.2 | 不使用 | 0 天 |
| GLM-5.1 | 不使用 | 0 天 |
| Kimi K3 | 不使用 | 0 天 |
| Kimi K2.7 Code | 不使用 | 0 天 |
| Kimi K2.6 | 不使用 | 0 天 |
| MiMo-V2.5-Pro | 不使用 | 0 天 |
| MiMo-V2.5 | 不使用 | 0 天 |
| Qwen3.8 Max | 不使用 | 0 天 |
| Qwen3.7 Max | 不使用 | 0 天 |
| Qwen3.7 Plus | 不使用 | 0 天 |
| Qwen3.6 Plus | 不使用 | 0 天 |
| MiniMax M3 | 不使用 | 0 天 |
| MiniMax M2.7 | 不使用 | 0 天 |
| DeepSeek V4 Pro | 不使用 | 0 天 |
| DeepSeek V4 Flash | 不使用 | 0 天 |
| Hy3 | 不使用 | 0 天 |
| 模型 | 模型訓練 | 資料保留 |
| -------------------------- | -------- | -------- |
| Grok 4.5 | 不使用 | 30 天 |
| GPT 5.6 Luna | 不使用 | 30 天 |
| GLM-5.3 | 不使用 | 0 天 |
| GLM-5.2 | 不使用 | 0 天 |
| GLM-5.1 | 不使用 | 0 天 |
| Kimi K3 | 不使用 | 0 天 |
| Kimi K2.7 Code | 不使用 | 0 天 |
| Kimi K2.6 | 不使用 | 0 天 |
| MiMo-V2.5-Pro | 不使用 | 0 天 |
| MiMo-V2.5 | 不使用 | 0 天 |
| Qwen3.8 Max | 不使用 | 0 天 |
| Qwen3.7 Max | 不使用 | 0 天 |
| Qwen3.7 Plus | 不使用 | 0 天 |
| Qwen3.6 Plus | 不使用 | 0 天 |
| MiniMax M3 | 不使用 | 0 天 |
| MiniMax M2.7 | 不使用 | 0 天 |
| Muse Spark 1.2 Contributor | 是 | 非 ZDR |
| DeepSeek V4 Pro | 不使用 | 0 天 |
| DeepSeek V4 Flash | 不使用 | 0 天 |
| Hy3 | 不使用 | 0 天 |
- **Grok 4.5:** ZDR 會停用依賴儲存資料的重要 API 功能,包括具狀態的 Responses API、Files and Collections 與 Batch API。[了解更多](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr)。
- **GPT 5.6 Luna:** 所有 API 功能的使用都會產生濫用監控日誌,並保留最多 30 天。[了解更多](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring)。
- **Muse Spark 1.2 Contributor:** 以允許使用您的提示詞和生成結果來訓練未來的 Meta 模型為交換,token 價格可享大幅折扣。[了解更多](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier)。
- **DeepSeek V4 Flash:** ZDR 協議每月續簽。目前的協議有效至 2026 年 8 月 31 日。
---
-3
View File
@@ -38,9 +38,6 @@ await prepareReleaseFiles()
console.log("\n=== cli ===\n")
await $`bun ./packages/opencode/script/publish.ts`
console.log("\n=== preview cli ===\n")
await $`bun ./packages/cli/script/publish.ts`
console.log("\n=== sdk ===\n")
await $`bun ./packages/sdk/js/script/publish.ts`