feat: discover models

Merge remote-tracking branch 'origin/azure-cli-auth' into azure-cli-auth
remove overengineering
2026-08-20 06:53:27 -04:00 · 2026-08-17 18:23:50 +02:00 · 2026-08-17 17:54:29 +02:00 · 2026-08-17 17:52:14 +02:00 · 2026-08-17 17:09:59 +02:00 · 2026-08-17 14:48:01 +02:00
73 changed files with 542 additions and 7256 deletions
@@ -301,7 +301,7 @@
        "@ai-sdk/deepinfra": "2.0.41",
        "@ai-sdk/gateway": "3.0.104",
        "@ai-sdk/google": "3.0.73",
-        "@ai-sdk/google-vertex": "4.0.181",
+        "@ai-sdk/google-vertex": "4.0.128",
        "@ai-sdk/groq": "3.0.31",
        "@ai-sdk/mistral": "3.0.51",
        "@ai-sdk/openai": "3.0.84",
@@ -576,7 +576,7 @@
        "@ai-sdk/deepinfra": "2.0.41",
        "@ai-sdk/gateway": "3.0.104",
        "@ai-sdk/google": "3.0.73",
-        "@ai-sdk/google-vertex": "4.0.181",
+        "@ai-sdk/google-vertex": "4.0.128",
        "@ai-sdk/groq": "3.0.31",
        "@ai-sdk/mistral": "3.0.51",
        "@ai-sdk/openai": "3.0.84",
@@ -1197,7 +1197,7 @@

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@@ -5691,15 +5691,13 @@

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+    "@ai-sdk/google-vertex/@ai-sdk/anthropic": ["@ai-sdk/anthropic@3.0.77", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ML8C2M1YvPA1ulEx4TiyF0k1xvC2ikEiPBIC1PPQ0a5xELUGrO2lAaEzsTEoJ+eCeDd8PSBuFJjs+r+9yIwQXA=="],

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-
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+    "@ai-sdk/google-vertex/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],

    "@ai-sdk/groq/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],

@@ -6183,6 +6181,8 @@

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+    "ai-gateway-provider/@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@4.0.181", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.110", "@ai-sdk/google": "3.0.108", "@ai-sdk/openai-compatible": "2.0.67", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45", "google-auth-library": "^10.5.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-57b5Qor8V53vubkxCj09tbHWpzpCLUbzmll2FwShuLvyEAsCH6mh3sAowDhiwUWPXnLzU+rC3RVMKCPscqICcg=="],
+
    "ai-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=="],
@@ -6615,8 +6615,6 @@

    "@ai-sdk/google-vertex/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "@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=="],
@@ -7017,6 +7015,12 @@

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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=="],
+
    "ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],

    "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=="],
@@ -7459,6 +7463,10 @@

    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],

+    "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=="],
@@ -1,8 +1,8 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-yQ8EIxxYkzlEWIMY/UiIR+7lbGBuizsoehMPZzFA65Y=",
-    "aarch64-linux": "sha256-JF9VVgnl5QUZ430fqb5Qu8y0kchYJ00LO3FbYcd0lBM=",
-    "aarch64-darwin": "sha256-f3Tu6eu463NWcHgr7dupfD/zUTh26bJ6N2vVXuEyi6c=",
-    "x86_64-darwin": "sha256-miv9Sv4KdhD0UIi2O5LVS1wQOfq29IV+9S+BvIzAvgo="
+    "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="
  }
 }
@@ -145,7 +145,7 @@ function ServerForm(props: ServerFormProps) {
          type="text"
          label={language.t("dialog.server.add.name")}
          placeholder={language.t("dialog.server.add.namePlaceholder")}
-          defaultValue={props.name}
+          value={props.name}
          disabled={props.busy}
          onChange={props.onNameChange}
          onKeyDown={keyDown}
@@ -155,7 +155,7 @@ function ServerForm(props: ServerFormProps) {
            type="text"
            label={language.t("dialog.server.add.username")}
            placeholder={language.t("dialog.server.add.usernamePlaceholder")}
-            defaultValue={props.username}
+            value={props.username}
            disabled={props.busy}
            onChange={props.onUsernameChange}
            onKeyDown={keyDown}
@@ -164,7 +164,7 @@ function ServerForm(props: ServerFormProps) {
            type="password"
            label={language.t("dialog.server.add.password")}
            placeholder={language.t("dialog.server.add.passwordPlaceholder")}
-            defaultValue={props.password}
+            value={props.password}
            disabled={props.busy}
            onChange={props.onPasswordChange}
            onKeyDown={keyDown}
@@ -341,13 +341,10 @@ export const dict = {
  "go.faq.a5.used": "مستخدَمة",
  "go.faq.a5.notUsed": "غير مستخدَمة",
  "go.faq.a5.noAgreement": "لا توجد اتفاقية",
-  "go.faq.a5.notZdr": "ليست ZDR",
  "go.faq.a5.grokRetention":
    "تعطّل ZDR ميزات API مهمة تعتمد على البيانات المخزنة، بما في ذلك Responses API ذات الحالة، وFiles and Collections، وBatch API.",
  "go.faq.a5.gptRetention":
    "تُنشأ سجلات مراقبة إساءة الاستخدام لكل استخدام لميزات API، ويُحتفظ بها لمدة تصل إلى 30 يومًا.",
-  "go.faq.a5.museRetention":
-    "أسعار توكنات مخفّضة للغاية مقابل منح الإذن باستخدام مطالباتك وإكمالات النموذج لتدريب نماذج Meta المستقبلية.",
  "go.faq.a5.learnMore": "اعرف المزيد",
  "go.faq.a5.deepseekRetention": "تُجدَّد اتفاقية ZDR شهريًا. الاتفاقية الحالية سارية حتى 31 أغسطس 2026.",
  "go.faq.a5.beforeExceptions":
@@ -388,9 +385,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "النموذج معطل",
  "zen.api.error.regionNotAllowed":
    "لا يتوفر أحدث إصدار من هذا النموذج إلا مستضافًا في الصين، ويتطلب تفعيلًا صريحًا: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "هذا النموذج غير متاح في بلدك.",
-  "zen.api.error.trainingNotAllowed":
-    "يجمع هذا النموذج بيانات تُستخدم لتحسين جودته، ويتطلب موافقتك الصريحة: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "انتهى العرض المجاني لـ {{model}}. يمكنك مواصلة استخدام النموذج بالاشتراك في OpenCode Go - {{link}}",

@@ -348,13 +348,10 @@ export const dict = {
  "go.faq.a5.used": "Usado",
  "go.faq.a5.notUsed": "Não usado",
  "go.faq.a5.noAgreement": "Sem acordo",
-  "go.faq.a5.notZdr": "Não é ZDR",
  "go.faq.a5.grokRetention":
    "O ZDR desativa recursos importantes da API que dependem de dados armazenados, incluindo a Responses API com estado, Files and Collections e a Batch API.",
  "go.faq.a5.gptRetention":
    "Logs de monitoramento de abuso são gerados para todo uso de recursos da API e retidos por até 30 dias.",
-  "go.faq.a5.museRetention":
-    "Preços de tokens com grandes descontos em troca da permissão para usar seus prompts e respostas geradas para treinar futuros modelos da Meta.",
  "go.faq.a5.learnMore": "Saiba mais",
  "go.faq.a5.deepseekRetention":
    "O acordo de ZDR é renovado mensalmente. O acordo atual é válido até 31 de agosto de 2026.",
@@ -397,9 +394,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "O modelo está desabilitado",
  "zen.api.error.regionNotAllowed":
    "A versão mais recente deste modelo está disponível apenas com hospedagem na China e requer adesão explícita: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Este modelo não está disponível no seu país.",
-  "zen.api.error.trainingNotAllowed":
-    "Este modelo coleta dados usados para melhorar sua qualidade e exige seu consentimento explícito: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "A promoção gratuita do {{model}} terminou. Você pode continuar usando o modelo assinando o OpenCode Go - {{link}}",

@@ -345,13 +345,10 @@ export const dict = {
  "go.faq.a5.used": "Brugt",
  "go.faq.a5.notUsed": "Ikke brugt",
  "go.faq.a5.noAgreement": "Ingen aftale",
-  "go.faq.a5.notZdr": "Ikke ZDR",
  "go.faq.a5.grokRetention":
    "ZDR deaktiverer vigtige API-funktioner, der afhænger af lagrede data, herunder den tilstandsbevarende Responses API, Files and Collections og Batch API.",
  "go.faq.a5.gptRetention":
    "Logfiler til overvågning af misbrug genereres ved al brug af API-funktioner og opbevares i op til 30 dage.",
-  "go.faq.a5.museRetention":
-    "Kraftigt nedsatte tokenpriser til gengæld for tilladelse til at bruge dine prompts og modelsvar til at træne fremtidige Meta-modeller.",
  "go.faq.a5.learnMore": "Læs mere",
  "go.faq.a5.deepseekRetention":
    "ZDR-aftalen fornyes månedligt. Den nuværende aftale er gyldig til og med 31. august 2026.",
@@ -394,9 +391,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Modellen er deaktiveret",
  "zen.api.error.regionNotAllowed":
    "Den nyeste version af denne model er kun tilgængelig som hostet i Kina og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Denne model er ikke tilgængelig i dit land.",
-  "zen.api.error.trainingNotAllowed":
-    "Denne model indsamler data, der bruges til at forbedre dens kvalitet, og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "Den gratis kampagne for {{model}} er afsluttet. Du kan fortsætte med at bruge modellen ved at abonnere på OpenCode Go - {{link}}",

@@ -347,13 +347,10 @@ export const dict = {
  "go.faq.a5.used": "Verwendet",
  "go.faq.a5.notUsed": "Nicht verwendet",
  "go.faq.a5.noAgreement": "Keine Vereinbarung",
-  "go.faq.a5.notZdr": "Kein ZDR",
  "go.faq.a5.grokRetention":
    "ZDR deaktiviert wichtige API-Funktionen, die von gespeicherten Daten abhängen, einschließlich der zustandsbehafteten Responses API, Files and Collections und der Batch API.",
  "go.faq.a5.gptRetention":
    "Für die Nutzung aller API-Funktionen werden Protokolle zur Missbrauchsüberwachung erstellt und bis zu 30 Tage lang aufbewahrt.",
-  "go.faq.a5.museRetention":
-    "Stark vergünstigte Tokenpreise im Gegenzug für die Erlaubnis, deine Prompts und Vervollständigungen zum Trainieren zukünftiger Meta-Modelle zu verwenden.",
  "go.faq.a5.learnMore": "Mehr erfahren",
  "go.faq.a5.deepseekRetention":
    "Die ZDR-Vereinbarung wird monatlich erneuert. Die aktuelle Vereinbarung gilt bis einschließlich 31. August 2026.",
@@ -396,9 +393,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Modell ist deaktiviert",
  "zen.api.error.regionNotAllowed":
    "Die neueste Version dieses Modells ist nur verfügbar, wenn sie in China gehostet wird, und muss ausdrücklich aktiviert werden: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Dieses Modell ist in deinem Land nicht verfügbar.",
-  "zen.api.error.trainingNotAllowed":
-    "Dieses Modell erfasst Daten, die zur Verbesserung seiner Qualität verwendet werden, und erfordert deine ausdrückliche Zustimmung: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "Die kostenlose Aktion für {{model}} ist beendet. Du kannst das Modell weiterhin nutzen, indem du OpenCode Go abonnierst - {{link}}",

@@ -343,13 +343,10 @@ export const dict = {
  "go.faq.a5.used": "Used",
  "go.faq.a5.notUsed": "Not used",
  "go.faq.a5.noAgreement": "No agreement",
-  "go.faq.a5.notZdr": "Not ZDR",
  "go.faq.a5.grokRetention":
    "ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API.",
  "go.faq.a5.gptRetention":
    "Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days.",
-  "go.faq.a5.museRetention":
-    "Heavily discounted token pricing in exchange for permission to use your prompts and completions to train future Meta models.",
  "go.faq.a5.deepseekRetention":
    "ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.",
  "go.faq.a5.learnMore": "Learn more",
@@ -393,9 +390,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Model is disabled",
  "zen.api.error.regionNotAllowed":
    "The latest version of this model is only available hosted in China and requires explicit opt in: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "This model is not available in your country.",
-  "zen.api.error.trainingNotAllowed":
-    "This model collects data used to improve its quality and requires explicit opt in: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "Free promotion has ended for {{model}}. You can continue using the model by subscribing to OpenCode Go - {{link}}",

@@ -677,8 +671,7 @@ export const dict = {
    'Select "OpenCode Go" as the provider in your opencode configuration to use Go models.',
  "workspace.lite.providers.title": "Providers",
  "workspace.lite.providers.description": "Control which providers are used for routing.",
-  "workspace.lite.providers.allowTraining": "Allow models that train on request data",
-  "workspace.lite.providers.useChina": "Allow models hosted in China",
+  "workspace.lite.providers.useChina": "Enable models hosted in China",
  "workspace.lite.black.message":
    "You're currently subscribed to OpenCode Black or on the waitlist. Please unsubscribe first if you'd like to switch to Go.",
  "workspace.lite.other.message":
@@ -348,13 +348,10 @@ export const dict = {
  "go.faq.a5.used": "Utilizado",
  "go.faq.a5.notUsed": "No utilizado",
  "go.faq.a5.noAgreement": "Sin acuerdo",
-  "go.faq.a5.notZdr": "Sin ZDR",
  "go.faq.a5.grokRetention":
    "ZDR deshabilita funciones importantes de la API que dependen de datos almacenados, incluidas la Responses API con estado, Files and Collections y la Batch API.",
  "go.faq.a5.gptRetention":
    "Se generan registros de supervisión de abusos para todo el uso de funciones de la API y se conservan durante un máximo de 30 días.",
-  "go.faq.a5.museRetention":
-    "Precios de tokens muy reducidos a cambio de permitir que tus prompts y las respuestas generadas se utilicen para entrenar futuros modelos de Meta.",
  "go.faq.a5.learnMore": "Más información",
  "go.faq.a5.deepseekRetention":
    "El acuerdo de ZDR se renueva mensualmente. El acuerdo actual es válido hasta el 31 de agosto de 2026.",
@@ -397,9 +394,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "El modelo está deshabilitado",
  "zen.api.error.regionNotAllowed":
    "La versión más reciente de este modelo solo está disponible alojada en China y requiere una aceptación explícita: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Este modelo no está disponible en tu país.",
-  "zen.api.error.trainingNotAllowed":
-    "Este modelo recopila datos que se utilizan para mejorar su calidad y requiere tu consentimiento explícito: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "La promoción gratuita de {{model}} ha finalizado. Puedes seguir usando el modelo suscribiéndote a OpenCode Go - {{link}}",

@@ -349,13 +349,10 @@ export const dict = {
  "go.faq.a5.used": "Utilisé",
  "go.faq.a5.notUsed": "Non utilisé",
  "go.faq.a5.noAgreement": "Aucun accord",
-  "go.faq.a5.notZdr": "Pas de ZDR",
  "go.faq.a5.grokRetention":
    "Le ZDR désactive d'importantes fonctionnalités API qui dépendent des données stockées, notamment Responses API avec état, Files and Collections et Batch API.",
  "go.faq.a5.gptRetention":
    "Des journaux de surveillance des abus sont générés pour toute utilisation des fonctionnalités API et conservés pendant un maximum de 30 jours.",
-  "go.faq.a5.museRetention":
-    "Des tarifs de tokens fortement réduits en échange de l’autorisation d’utiliser vos prompts et vos complétions pour entraîner de futurs modèles Meta.",
  "go.faq.a5.learnMore": "En savoir plus",
  "go.faq.a5.deepseekRetention":
    "L’accord ZDR est renouvelé chaque mois. L’accord actuel est valable jusqu’au 31 août 2026.",
@@ -398,9 +395,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Le modèle est désactivé",
  "zen.api.error.regionNotAllowed":
    "La dernière version de ce modèle est uniquement disponible avec un hébergement en Chine et nécessite votre consentement explicite : {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Ce modèle n’est pas disponible dans votre pays.",
-  "zen.api.error.trainingNotAllowed":
-    "Ce modèle collecte des données utilisées pour améliorer sa qualité et nécessite votre consentement explicite : {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "La promotion gratuite de {{model}} est terminée. Vous pouvez continuer à utiliser le modèle en vous abonnant à OpenCode Go - {{link}}",

@@ -344,7 +344,6 @@ export const dict = {
  "go.faq.a5.used": "Utilizzato",
  "go.faq.a5.notUsed": "Non utilizzato",
  "go.faq.a5.noAgreement": "Nessun accordo",
-  "go.faq.a5.notZdr": "Non ZDR",
  "go.faq.a5.grokRetention":
    "ZDR disabilita importanti funzionalità API che dipendono dai dati archiviati, tra cui la Responses API con stato, Files and Collections e Batch API.",
  "go.faq.a5.gptRetention":
@@ -352,8 +351,6 @@ export const dict = {
  "go.faq.a5.learnMore": "Scopri di più",
  "go.faq.a5.deepseekRetention":
    "L'accordo ZDR viene rinnovato mensilmente. L'accordo attuale è valido fino al 31 agosto 2026.",
-  "go.faq.a5.museRetention":
-    "Prezzi dei token fortemente scontati in cambio dell'autorizzazione a utilizzare i tuoi prompt e completamenti per addestrare futuri modelli Meta.",
  "go.faq.a5.beforeExceptions":
    "I modelli Go sono ospitati negli Stati Uniti. I provider seguono una policy di zero-retention e non usano i tuoi dati per l'addestramento dei modelli, con le",
  "go.faq.a5.exceptionsLink": "seguenti eccezioni",
@@ -393,9 +390,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Il modello è disabilitato",
  "zen.api.error.regionNotAllowed":
    "La versione più recente di questo modello è disponibile solo con hosting in Cina e richiede un consenso esplicito: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Questo modello non è disponibile nel tuo paese.",
-  "zen.api.error.trainingNotAllowed":
-    "Questo modello raccoglie dati utilizzati per migliorarne la qualità e richiede il tuo consenso esplicito: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "La promozione gratuita di {{model}} è terminata. Puoi continuare a usare il modello abbonandoti a OpenCode Go - {{link}}",

@@ -344,12 +344,9 @@ export const dict = {
  "go.faq.a5.used": "使用あり",
  "go.faq.a5.notUsed": "使用なし",
  "go.faq.a5.noAgreement": "契約なし",
-  "go.faq.a5.notZdr": "ZDRではない",
  "go.faq.a5.grokRetention":
    "ZDRでは、保存データに依存する重要なAPI機能（ステートフルなResponses API、Files and Collections、Batch APIなど）が無効になります。",
  "go.faq.a5.gptRetention": "不正使用監視ログはすべてのAPI機能の使用時に生成され、最大30日間保持されます。",
-  "go.faq.a5.museRetention":
-    "将来のMetaモデルのトレーニングにプロンプトと生成結果を使用する許可と引き換えに、トークン料金が大幅に割引されます。",
  "go.faq.a5.learnMore": "詳しく見る",
  "go.faq.a5.deepseekRetention": "ZDR契約は毎月更新されます。現在の契約は2026年8月31日まで有効です。",
  "go.faq.a5.beforeExceptions":
@@ -392,9 +389,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "モデルが無効です",
  "zen.api.error.regionNotAllowed":
    "このモデルの最新バージョンは中国でのみホスト提供されており、利用するには明示的なオプトインが必要です: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "このモデルはお住まいの国では利用できません。",
-  "zen.api.error.trainingNotAllowed":
-    "このモデルは品質向上のためのデータを収集します。利用するには明示的な同意が必要です: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "{{model}} の無料プロモーションは終了しました。OpenCode Go を購読するとモデルを引き続き使用できます - {{link}}",

@@ -340,12 +340,9 @@ export const dict = {
  "go.faq.a5.used": "사용됨",
  "go.faq.a5.notUsed": "사용되지 않음",
  "go.faq.a5.noAgreement": "합의 없음",
-  "go.faq.a5.notZdr": "ZDR 아님",
  "go.faq.a5.grokRetention":
    "ZDR은 저장된 데이터에 의존하는 중요한 API 기능(상태 저장형 Responses API, Files and Collections, Batch API 포함)을 비활성화합니다.",
  "go.faq.a5.gptRetention": "모든 API 기능 사용에 대해 악용 모니터링 로그가 생성되며 최대 30일 동안 보존됩니다.",
-  "go.faq.a5.museRetention":
-    "향후 Meta 모델 학습에 사용자의 프롬프트와 생성 결과를 사용할 수 있도록 허용하는 대신 토큰 가격이 대폭 할인됩니다.",
  "go.faq.a5.learnMore": "자세히 알아보기",
  "go.faq.a5.deepseekRetention": "ZDR 계약은 매월 갱신됩니다. 현재 계약은 2026년 8월 31일까지 유효합니다.",
  "go.faq.a5.beforeExceptions":
@@ -386,9 +383,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "모델이 비활성화되었습니다",
  "zen.api.error.regionNotAllowed":
    "이 모델의 최신 버전은 중국에서 호스팅되는 경우에만 사용할 수 있으며, 명시적으로 사용에 동의해야 합니다: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "이 모델은 거주 국가에서 사용할 수 없습니다.",
-  "zen.api.error.trainingNotAllowed":
-    "이 모델은 품질 개선에 사용되는 데이터를 수집하며, 사용하려면 명시적으로 동의해야 합니다: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "{{model}}의 무료 프로모션이 종료되었습니다. OpenCode Go를 구독하면 모델을 계속 사용할 수 있습니다 - {{link}}",

@@ -345,7 +345,6 @@ export const dict = {
  "go.faq.a5.used": "Brukes",
  "go.faq.a5.notUsed": "Brukes ikke",
  "go.faq.a5.noAgreement": "Ingen avtale",
-  "go.faq.a5.notZdr": "Ikke ZDR",
  "go.faq.a5.grokRetention":
    "ZDR deaktiverer viktige API-funksjoner som er avhengige av lagrede data, inkludert den tilstandsbaserte Responses API, Files and Collections og Batch API.",
  "go.faq.a5.gptRetention":
@@ -353,8 +352,6 @@ export const dict = {
  "go.faq.a5.learnMore": "Les mer",
  "go.faq.a5.deepseekRetention":
    "ZDR-avtalen fornyes månedlig. Den gjeldende avtalen er gyldig til og med 31. august 2026.",
-  "go.faq.a5.museRetention":
-    "Kraftig rabatterte tokenpriser i bytte mot tillatelse til å bruke ledetekstene og fullføringene dine til å trene fremtidige Meta-modeller.",

  "go.faq.a5.beforeExceptions":
    "Go-modeller hostes i USA. Leverandører følger en policy om null oppbevaring og bruker ikke dataene dine til modelltrening, med",
@@ -395,9 +392,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Modellen er deaktivert",
  "zen.api.error.regionNotAllowed":
    "Den nyeste versjonen av denne modellen er bare tilgjengelig som en tjeneste driftet i Kina og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Denne modellen er ikke tilgjengelig i landet ditt.",
-  "zen.api.error.trainingNotAllowed":
-    "Denne modellen samler inn data som brukes til å forbedre modellens kvalitet, og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "Den gratis kampanjen for {{model}} er avsluttet. Du kan fortsette å bruke modellen ved å abonnere på OpenCode Go - {{link}}",

@@ -346,15 +346,12 @@ export const dict = {
  "go.faq.a5.used": "Wykorzystywane",
  "go.faq.a5.notUsed": "Niewykorzystywane",
  "go.faq.a5.noAgreement": "Brak umowy",
-  "go.faq.a5.notZdr": "Nie ZDR",
  "go.faq.a5.grokRetention":
    "ZDR wyłącza ważne funkcje API zależne od przechowywanych danych, w tym stanowy Responses API, Files and Collections oraz Batch API.",
  "go.faq.a5.gptRetention":
    "Dzienniki monitorowania nadużyć są generowane dla każdego użycia funkcji API i przechowywane przez maksymalnie 30 dni.",
  "go.faq.a5.learnMore": "Dowiedz się więcej",
  "go.faq.a5.deepseekRetention": "Umowa ZDR jest odnawiana co miesiąc. Obecna umowa obowiązuje do 31 sierpnia 2026 r.",
-  "go.faq.a5.museRetention":
-    "Znacznie obniżone ceny tokenów w zamian za zgodę na wykorzystanie Twoich promptów i odpowiedzi do trenowania przyszłych modeli Meta.",

  "go.faq.a5.beforeExceptions":
    "Modele Go są hostowane w USA. Dostawcy stosują politykę zerowej retencji i nie używają Twoich danych do trenowania modeli, z",
@@ -395,9 +392,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Model jest wyłączony",
  "zen.api.error.regionNotAllowed":
    "Najnowsza wersja tego modelu jest dostępna wyłącznie jako usługa hostowana w Chinach i wymaga jawnej zgody użytkownika: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Ten model nie jest dostępny w Twoim kraju.",
-  "zen.api.error.trainingNotAllowed":
-    "Ten model zbiera dane wykorzystywane do poprawy jego jakości i wymaga wyraźnej zgody użytkownika: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "Bezpłatna promocja {{model}} dobiegła końca. Możesz dalej korzystać z modelu, subskrybując OpenCode Go - {{link}}",

@@ -350,7 +350,6 @@ export const dict = {
  "go.faq.a5.used": "Используется",
  "go.faq.a5.notUsed": "Не используется",
  "go.faq.a5.noAgreement": "Нет соглашения",
-  "go.faq.a5.notZdr": "Не ZDR",
  "go.faq.a5.grokRetention":
    "ZDR отключает важные функции API, зависящие от сохраненных данных, включая Responses API с сохранением состояния, Files and Collections и Batch API.",
  "go.faq.a5.gptRetention":
@@ -358,8 +357,6 @@ export const dict = {
  "go.faq.a5.learnMore": "Подробнее",
  "go.faq.a5.deepseekRetention":
    "Соглашение ZDR продлевается ежемесячно. Текущее соглашение действует до 31 августа 2026 года.",
-  "go.faq.a5.museRetention":
-    "Значительно сниженная стоимость токенов в обмен на разрешение использовать ваши промпты и ответы для обучения будущих моделей Meta.",

  "go.faq.a5.beforeExceptions":
    "Модели Go размещены в США. Провайдеры следуют политике нулевого хранения и не используют ваши данные для обучения моделей, за",
@@ -400,9 +397,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Модель отключена",
  "zen.api.error.regionNotAllowed":
    "Последняя версия этой модели размещена только в Китае. Чтобы использовать её, необходимо явно подтвердить согласие: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Эта модель недоступна в вашей стране.",
-  "zen.api.error.trainingNotAllowed":
-    "Эта модель собирает данные, которые используются для улучшения её качества, и требует явного согласия: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "Бесплатная акция для {{model}} завершена. Вы можете продолжить использование модели, подписавшись на OpenCode Go - {{link}}",

@@ -342,13 +342,10 @@ export const dict = {
  "go.faq.a5.used": "นำไปใช้",
  "go.faq.a5.notUsed": "ไม่นำไปใช้",
  "go.faq.a5.noAgreement": "ไม่มีข้อตกลง",
-  "go.faq.a5.notZdr": "ไม่ใช่ ZDR",
  "go.faq.a5.grokRetention":
    "ZDR ปิดใช้งานฟีเจอร์ API สำคัญที่ต้องอาศัยข้อมูลที่จัดเก็บไว้ ซึ่งรวมถึง Responses API แบบมีสถานะ, Files and Collections และ Batch API",
  "go.faq.a5.gptRetention":
    "ระบบจะสร้างบันทึกการตรวจสอบการใช้งานในทางที่ผิดสำหรับการใช้งานฟีเจอร์ API ทั้งหมด และเก็บรักษาไว้นานสูงสุด 30 วัน",
-  "go.faq.a5.museRetention":
-    "ราคาของ token ลดลงอย่างมาก โดยแลกกับการอนุญาตให้นำพรอมต์และผลลัพธ์ที่สร้างขึ้นของคุณไปใช้ฝึกโมเดล Meta ในอนาคต",
  "go.faq.a5.learnMore": "ดูข้อมูลเพิ่มเติม",
  "go.faq.a5.deepseekRetention": "ข้อตกลง ZDR จะต่ออายุทุกเดือน ข้อตกลงปัจจุบันมีผลใช้ถึงวันที่ 31 สิงหาคม 2026",

@@ -390,9 +387,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "โมเดลถูกปิดใช้งาน",
  "zen.api.error.regionNotAllowed":
    "โมเดลเวอร์ชันล่าสุดนี้ให้บริการเฉพาะผ่านระบบที่โฮสต์ในประเทศจีน และต้องให้ความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "โมเดลนี้ไม่พร้อมให้บริการในประเทศของคุณ",
-  "zen.api.error.trainingNotAllowed":
-    "โมเดลนี้เก็บรวบรวมข้อมูลที่ใช้เพื่อปรับปรุงคุณภาพของโมเดล และต้องได้รับความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "โปรโมชันฟรีสำหรับ {{model}} สิ้นสุดแล้ว คุณสามารถใช้โมเดลต่อได้โดยสมัครสมาชิก OpenCode Go - {{link}}",

@@ -348,7 +348,6 @@ export const dict = {
  "go.faq.a5.used": "Kullanılır",
  "go.faq.a5.notUsed": "Kullanılmaz",
  "go.faq.a5.noAgreement": "Anlaşma yok",
-  "go.faq.a5.notZdr": "ZDR değil",
  "go.faq.a5.grokRetention":
    "ZDR, durum bilgisi tutan Responses API, Files and Collections ve Batch API dahil olmak üzere saklanan verilere bağlı önemli API özelliklerini devre dışı bırakır.",
  "go.faq.a5.gptRetention":
@@ -356,8 +355,6 @@ export const dict = {
  "go.faq.a5.learnMore": "Daha fazla bilgi",
  "go.faq.a5.deepseekRetention":
    "ZDR anlaşması aylık olarak yenilenir. Mevcut anlaşma 31 Ağustos 2026 tarihine kadar geçerlidir.",
-  "go.faq.a5.museRetention":
-    "İstemlerinizi ve tamamlamalarınızı gelecekteki Meta modellerini eğitmek için kullanma izni karşılığında büyük ölçüde indirimli token fiyatları.",

  "go.faq.a5.beforeExceptions":
    "Go modelleri ABD'de barındırılmaktadır. Sağlayıcılar sıfır saklama politikası izler ve verilerinizi model eğitimi için kullanmaz; şu",
@@ -398,9 +395,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Model devre dışı",
  "zen.api.error.regionNotAllowed":
    "Bu modelin en son sürümü yalnızca Çin'de barındırılıyor ve kullanabilmek için açıkça onay vermeniz gerekiyor: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Bu model ülkenizde kullanılamıyor.",
-  "zen.api.error.trainingNotAllowed":
-    "Bu model, kalitesini artırmak için kullanılan verileri toplar. Modeli kullanabilmek için açıkça onay vermeniz gerekir: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "{{model}} için ücretsiz promosyon sona erdi. OpenCode Go'ya abone olarak modeli kullanmaya devam edebilirsiniz - {{link}}",

@@ -346,15 +346,12 @@ export const dict = {
  "go.faq.a5.used": "Використовується",
  "go.faq.a5.notUsed": "Не використовується",
  "go.faq.a5.noAgreement": "Немає угоди",
-  "go.faq.a5.notZdr": "Не ZDR",
  "go.faq.a5.grokRetention":
    "ZDR вимикає важливі функції API, які залежать від збережених даних, зокрема Responses API зі збереженням стану, Files and Collections та Batch API.",
  "go.faq.a5.gptRetention":
    "Журнали моніторингу зловживань створюються для всіх випадків використання функцій API та зберігаються до 30 днів.",
  "go.faq.a5.learnMore": "Докладніше",
  "go.faq.a5.deepseekRetention": "Угода ZDR поновлюється щомісяця. Поточна угода дійсна до 31 серпня 2026 року.",
-  "go.faq.a5.museRetention":
-    "Значно знижені ціни на токени в обмін на дозвіл використовувати ваші промпти та відповіді для навчання майбутніх моделей Meta.",

  "go.faq.a5.beforeExceptions":
    "Моделі Go розміщені в США. Провайдери дотримуються політики нульового зберігання та не використовують ваші дані для навчання моделей, за",
@@ -394,9 +391,6 @@ export const dict = {
  "zen.api.error.modelDisabled": "Модель вимкнено",
  "zen.api.error.regionNotAllowed":
    "Остання версія цієї моделі доступна лише на серверах у Китаї, і для її використання потрібно надати явну згоду: {{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "Ця модель недоступна у вашій країні.",
-  "zen.api.error.trainingNotAllowed":
-    "Ця модель збирає дані, які використовуються для покращення її якості; для її використання потрібна ваша явна згода: {{consoleGoUrl}}",
  "zen.api.error.trialEnded":
    "Безкоштовна акція для {{model}} закінчилася. Ви можете продовжити використання, підписавшись на OpenCode Go — {{link}}",

@@ -328,11 +328,9 @@ export const dict = {
  "go.faq.a5.used": "使用",
  "go.faq.a5.notUsed": "不使用",
  "go.faq.a5.noAgreement": "无协议",
-  "go.faq.a5.notZdr": "非 ZDR",
  "go.faq.a5.grokRetention":
    "ZDR 会禁用依赖所存储数据的重要 API 功能，包括有状态的 Responses API、Files and Collections 和 Batch API。",
  "go.faq.a5.gptRetention": "所有 API 功能的使用都会生成滥用监控日志，并最多保留 30 天。",
-  "go.faq.a5.museRetention": "以允许使用你的提示词和补全结果训练未来的 Meta 模型为交换，token 价格可获得大幅折扣。",
  "go.faq.a5.learnMore": "了解更多",
  "go.faq.a5.deepseekRetention": "ZDR 协议每月续签。当前协议有效期至 2026 年 8 月 31 日。",
  "go.faq.a5.beforeExceptions": "Go 模型托管在美国。提供商遵循零留存政策，不使用您的数据进行模型训练，",
@@ -370,8 +368,6 @@ export const dict = {
  "zen.api.error.userMonthlyLimitReached": "您已达到每月支出限额 ${{amount}}。请在此处管理您的限额：{{membersUrl}}",
  "zen.api.error.modelDisabled": "模型已禁用",
  "zen.api.error.regionNotAllowed": "该模型的最新版本仅在中国提供托管服务，需明确选择启用：{{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "该模型在你所在的国家或地区不可用。",
-  "zen.api.error.trainingNotAllowed": "该模型会收集用于提升其质量的数据，使用前需要你明确同意：{{consoleGoUrl}}",
  "zen.api.error.trialEnded": "{{model}} 的限免活动已结束。您可以订阅 OpenCode Go 继续使用该模型 - {{link}}",

  "black.meta.title": "OpenCode Black | 访问全球顶尖编程模型",
@@ -328,11 +328,9 @@ export const dict = {
  "go.faq.a5.used": "使用",
  "go.faq.a5.notUsed": "不使用",
  "go.faq.a5.noAgreement": "無協議",
-  "go.faq.a5.notZdr": "非 ZDR",
  "go.faq.a5.grokRetention":
    "ZDR 會停用依賴儲存資料的重要 API 功能，包括具狀態的 Responses API、Files and Collections 與 Batch API。",
  "go.faq.a5.gptRetention": "所有 API 功能的使用都會產生濫用監控日誌，並保留最多 30 天。",
-  "go.faq.a5.museRetention": "以允許使用您的提示詞和生成結果來訓練未來的 Meta 模型為交換，token 價格可享大幅折扣。",
  "go.faq.a5.learnMore": "了解更多",
  "go.faq.a5.deepseekRetention": "ZDR 協議每月續簽。目前的協議有效至 2026 年 8 月 31 日。",
  "go.faq.a5.beforeExceptions": "Go 模型託管在美國。供應商遵循零留存政策，不會將你的資料用於模型訓練，但有",
@@ -370,8 +368,6 @@ export const dict = {
  "zen.api.error.userMonthlyLimitReached": "你已達到每月支出限額 ${{amount}}。請在此處管理你的限額：{{membersUrl}}",
  "zen.api.error.modelDisabled": "模型已停用",
  "zen.api.error.regionNotAllowed": "此模型的最新版本僅於中國託管，且需明確選擇啟用：{{consoleGoUrl}}",
-  "zen.api.error.countryNotAllowed": "此模型無法在你所在的國家或地區使用。",
-  "zen.api.error.trainingNotAllowed": "此模型會收集用於提升其品質的資料，使用前須經你明確同意：{{consoleGoUrl}}",
  "zen.api.error.trialEnded": "{{model}} 的限免活动已結束。您可以訂閱 OpenCode Go 繼續使用該模型 - {{link}}",

  "black.meta.title": "OpenCode Black | 存取全球最佳編碼模型",
@@ -1,74 +1,5 @@
-const MUSE_SPARK_BLOCKED_COUNTRIES = new Set([
-  "AD",
-  "AF",
-  "AT",
-  "AU",
-  "BE",
-  "BG",
-  "BR",
-  "BY",
-  "CA",
-  "CH",
-  "CN",
-  "CU",
-  "CY",
-  "CZ",
-  "DE",
-  "DK",
-  "EE",
-  "EH",
-  "ER",
-  "ES",
-  "ET",
-  "FI",
-  "FR",
-  "GB",
-  "GR",
-  "HK",
-  "HR",
-  "HT",
-  "HU",
-  "IE",
-  "IQ",
-  "IR",
-  "IS",
-  "IT",
-  "KH",
-  "KP",
-  "KR",
-  "LI",
-  "LT",
-  "LU",
-  "LV",
-  "LY",
-  "MC",
-  "MM",
-  "MO",
-  "MT",
-  "NI",
-  "NL",
-  "NO",
-  "PK",
-  "PL",
-  "PT",
-  "RO",
-  "RU",
-  "SE",
-  "SI",
-  "SK",
-  "SM",
-  "SO",
-  "SY",
-  "VA",
-  "VE",
-])
-
 export function countryFromRequest(request: Request | undefined) {
  if (!request) return undefined
  const cloudflareRequest = request as Request & { cf?: { country?: string } }
  return cloudflareRequest.cf?.country ?? request.headers.get("cf-ipcountry") ?? undefined
 }
-
-export function isModelCountryRestricted(model: string, country: string | undefined) {
-  return model === "muse-spark-1.2" && country !== undefined && MUSE_SPARK_BLOCKED_COUNTRIES.has(country.toUpperCase())
-}
@@ -39,7 +39,6 @@ const models = [
  { name: "Qwen3.6 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
  { name: "MiniMax M3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
  { name: "MiniMax M2.7", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
-  { name: "Muse Spark 1.2", 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" },
@@ -74,12 +73,11 @@ 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: "qwen3.7-plus", name: "Qwen3.7 Plus", req: 4300, d: "300ms" },
    { id: "hy3", name: "Hy3", req: 4300, d: "320ms" },
-    { id: "deepseek-v4-flash", name: "DeepSeek V4 Flash", req: 7600, d: "330ms" },
-    { id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, d: "340ms" },
-    { id: "muse-spark-1.2", name: "Muse Spark 1.2", req: 45300, edge: true, d: "360ms" },
+    { id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, edge: true, d: "340ms" },
  ]

  const w = 1040
@@ -507,13 +505,6 @@ export default function Home() {
                      </a>
                      .
                    </p>
-                    <p>
-                      <strong>Muse Spark 1.2:</strong> {i18n.t("go.faq.a5.museRetention")}{" "}
-                      <a href="https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier">
-                        {i18n.t("go.faq.a5.learnMore")}
-                      </a>
-                      .
-                    </p>
                    <p>
                      <strong>DeepSeek V4 Flash:</strong> {i18n.t("go.faq.a5.deepseekRetention")}
                    </p>
@@ -106,7 +106,6 @@

    [data-slot="setting-row"] {
      margin-top: 0;
-      padding-block: var(--space-2);
    }
  }

@@ -39,7 +39,6 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
          timeCreated: LiteTable.timeCreated,
          lite: BillingTable.lite,
          region: WorkspaceTable.region,
-          allowTraining: WorkspaceTable.allow_training,
        })
        .from(BillingTable)
        .innerJoin(LiteTable, eq(LiteTable.workspaceID, BillingTable.workspaceID))
@@ -55,7 +54,6 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
    return {
      mine,
      useBalance: row.lite?.useBalance ?? false,
-      allowTraining: row.allowTraining ?? false,
      region:
        row.region ?? (await Workspace.setDefaultRegion({ country: countryFromRequest(getRequestEvent()?.request) })),
      rollingUsage: Subscription.analyzeRollingUsage({
@@ -156,24 +154,6 @@ const setGoProviderRouting = action(async (form: FormData) => {
  )
 }, "go.providerRouting.set")

-const setGoAllowTraining = action(async (form: FormData) => {
-  "use server"
-  const workspaceID = form.get("workspaceID") as string | null
-  if (!workspaceID) return { error: formError.workspaceRequired }
-  const allowTraining = (form.get("allowTraining") as string | null) === "true"
-
-  return json(
-    await withActor(
-      () =>
-        Workspace.update({ allow_training: allowTraining })
-          .then(() => ({ error: undefined }))
-          .catch((e) => ({ error: e.message as string })),
-      workspaceID,
-    ),
-    { revalidate: queryLiteSubscription.key },
-  )
-}, "go.allowTraining.set")
-
 function LiteUsageItem(props: { label: string; usage: { usagePercent: number; resetInSec: number } }) {
  const i18n = useI18n()

@@ -206,7 +186,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
  const checkoutSubmission = useSubmission(createLiteCheckoutUrl)
  const useBalanceSubmission = useSubmission(setLiteUseBalance)
  const providerRoutingSubmission = useSubmission(setGoProviderRouting)
-  const allowTrainingSubmission = useSubmission(setGoAllowTraining)
  const [store, setStore] = createStore({
    loading: undefined as undefined | "session" | "checkout" | "alipay" | "upi",
    showModal: false,
@@ -285,20 +264,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
                <h3>{i18n.t("workspace.lite.providers.title")}</h3>
                <p>{i18n.t("workspace.lite.providers.description")}</p>
              </div>
-              <form action={setGoAllowTraining} method="post" data-slot="setting-row">
-                <p>{i18n.t("workspace.lite.providers.allowTraining")}</p>
-                <input type="hidden" name="workspaceID" value={params.id} />
-                <input type="hidden" name="allowTraining" value={sub().allowTraining ? "false" : "true"} />
-                <label data-slot="toggle-label">
-                  <input
-                    type="checkbox"
-                    checked={sub().allowTraining}
-                    disabled={allowTrainingSubmission.pending}
-                    onChange={(e) => e.currentTarget.form?.requestSubmit()}
-                  />
-                  <span></span>
-                </label>
-              </form>
              <form action={setGoProviderRouting} method="post" data-slot="setting-row">
                <p>{i18n.t("workspace.lite.providers.useChina")}</p>
                <input type="hidden" name="workspaceID" value={params.id} />
@@ -4,7 +4,6 @@ export class MonthlyLimitError extends Error {}
 export class UserLimitError extends Error {}
 export class ModelError extends Error {}
 export class RegionError extends Error {}
-export class DataPolicyError extends Error {}

 class LimitError extends Error {
  retryAfter?: number
@@ -22,7 +22,6 @@ import {
  UserLimitError,
  ModelError,
  RegionError,
-  DataPolicyError,
  RateLimitError,
  FreeUsageLimitError,
  GoUsageLimitError,
@@ -52,7 +51,7 @@ import { createModelTpsLimiter } from "./modelTpsLimiter"
 import { createProviderBudgetTracker } from "./providerBudgetTracker"
 import { accumulateUsage, HOT_WORKSPACES } from "./usageBatcher"
 import { Workspace } from "@opencode-ai/console-core/workspace.js"
-import { countryFromRequest, isModelCountryRestricted } from "~/lib/request-country"
+import { countryFromRequest } from "~/lib/request-country"

 type ZenData = Awaited<ReturnType<typeof ZenData.list>>
 type RetryOptions = {
@@ -122,8 +121,6 @@ export async function handler(
    })
    const zenData = ZenData.list(opts.modelList)
    const modelInfo = validateModel(zenData, model)
-    const country = countryFromRequest(input.request)
-    if (isModelCountryRestricted(modelInfo.id, country)) throw new RegionError(t("zen.api.error.countryNotAllowed"))
    const trialLimiter = createTrialLimiter(modelInfo.trialProvider, ip)
    const trialProviders = await trialLimiter?.check()
    const rateLimiter = modelInfo.allowAnonymous
@@ -131,18 +128,12 @@ export async function handler(
      : createKeyRateLimiter(modelInfo.id, modelInfo.rateLimit, zenApiKey, input.request)
    await rateLimiter?.check()
    const authInfo = await authenticate(modelInfo, zenApiKey)
-    if (authInfo && opts.modelList === "lite" && modelInfo.id === "muse-spark-1.2" && !authInfo.allowTraining)
-      throw new DataPolicyError(
-        t("zen.api.error.trainingNotAllowed", {
-          consoleGoUrl: `https://opencode.ai/workspace/${authInfo.workspaceID}/go`,
-        }),
-      )
    const allowedRegions = authInfo?.region
      ? authInfo.region
      : await (async () => {
          if (!authInfo) return
          return Actor.provide("system", { workspaceID: authInfo.workspaceID }, () =>
-            Workspace.setDefaultRegion({ country }),
+            Workspace.setDefaultRegion({ country: countryFromRequest(input.request) }),
          )
        })()
    if (
@@ -256,7 +247,7 @@ export async function handler(
            headers.delete("host")
            headers.delete("content-length")
            headers.delete("x-opencode-request")
-            if (!isNewInference) headers.delete("x-opencode-session")
+            headers.delete("x-opencode-session")
            headers.delete("x-opencode-project")
            headers.delete("x-opencode-client")
            return headers
@@ -486,7 +477,7 @@ export async function handler(
      } catch {}
    }

-    if (error instanceof RegionError || error instanceof DataPolicyError)
+    if (error instanceof RegionError)
      return new Response(
        JSON.stringify({
          type: "error",
@@ -717,7 +708,6 @@ export async function handler(
          workspace: {
            id: WorkspaceTable.id,
            region: WorkspaceTable.region,
-            allowTraining: WorkspaceTable.allow_training,
            isBlocked: WorkspaceTable.is_blocked,
            isFlaggedByAnthropic: WorkspaceTable.is_flagged_by_anthropic,
            isFlaggedByOpenAI: WorkspaceTable.is_flagged_by_openai,
@@ -830,7 +820,6 @@ export async function handler(
      apiKeyId: data.apiKey,
      workspaceID: data.workspace.id,
      region: data.workspace.region,
-      allowTraining: data.workspace.allowTraining ?? false,
      billing: data.billing,
      user: data.user,
      black: data.black,
@@ -1 +0,0 @@
-ALTER TABLE `workspace` ADD `allow_non_zdr` boolean;
@@ -1 +0,0 @@
-ALTER TABLE `workspace` RENAME COLUMN `allow_non_zdr` TO `allow_training`;
@@ -53,7 +53,6 @@ export const BillingTable = mysqlTable(
    ...workspaceIndexes(table),
    uniqueIndex("global_customer_id").on(table.customerID),
    uniqueIndex("global_subscription_id").on(table.subscriptionID),
-    uniqueIndex("global_lite_subscription_id").on(table.liteSubscriptionID),
  ],
 )

@@ -1,4 +1,4 @@
-import { bigint, index, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
+import { bigint, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
 import { timestamps, ulid, utc, workspaceColumns } from "../drizzle/types"
 import { workspaceIndexes } from "./workspace.sql"

@@ -31,5 +31,5 @@ export const ReferralRewardTable = mysqlTable(
    amount: bigint("amount", { mode: "number" }).notNull(),
    timeApplied: utc("time_applied"),
  },
-  (table) => [primaryKey({ columns: [table.workspaceID, table.referralID] }), index("referral_id").on(table.referralID)],
+  (table) => [primaryKey({ columns: [table.workspaceID, table.referralID] })],
 )
@@ -8,7 +8,6 @@ export const WorkspaceTable = mysqlTable(
    slug: varchar("slug", { length: 255 }),
    name: varchar("name", { length: 255 }).notNull(),
    region: json("region").$type<("us" | "eu" | "sg" | "cn")[]>(),
-    allow_training: boolean(),
    is_blocked: boolean(),
    is_flagged_by_anthropic: boolean(),
    is_flagged_by_openai: boolean(),
@@ -62,7 +62,6 @@ export namespace Workspace {
    z.object({
      name: z.string().min(1).max(255).optional(),
      region: z.array(Region).min(1).optional(),
-      allow_training: z.boolean().optional(),
    }),
    async (input) => {
      Actor.assertAdmin()
@@ -73,7 +72,6 @@ export namespace Workspace {
          .set({
            ...("name" in input ? { name: input.name } : {}),
            ...("region" in input ? { region: input.region } : {}),
-            ...("allow_training" in input ? { allow_training: input.allow_training } : {}),
          })
          .where(eq(WorkspaceTable.id, workspaceID)),
      )
@@ -70,7 +70,7 @@
    "@ai-sdk/deepinfra": "2.0.41",
    "@ai-sdk/gateway": "3.0.104",
    "@ai-sdk/google": "3.0.73",
-    "@ai-sdk/google-vertex": "4.0.181",
+    "@ai-sdk/google-vertex": "4.0.128",
    "@ai-sdk/groq": "3.0.31",
    "@ai-sdk/mistral": "3.0.51",
    "@ai-sdk/openai": "3.0.84",
@@ -202,7 +202,6 @@ export const make = (dependencies: Dependencies) => {
      .stream(
        LLM.request({
          model: input.model,
-          http: input.request.http,
          messages: [Message.user(summaryPrompt)],
          tools: [],
          generation: { maxTokens: summaryOutput },
@@ -204,13 +204,6 @@ const layer = Layer.effect(
      const promptCacheKey = /^ses_[0-9a-f]{64}$/.test(session.id) ? session.id.slice(4) : session.id
      const request = LLM.request({
        model,
-        http: {
-          headers: {
-            "x-session-affinity": session.id,
-            "X-Session-Id": session.id,
-            ...(session.parentID ? { "x-parent-session-id": session.parentID } : {}),
-          },
-        },
        providerOptions: { openai: { promptCacheKey } },
        system: [agent.info?.system, system.baseline]
          .filter((part): part is string => part !== undefined && part.length > 0)
@@ -1101,16 +1101,6 @@ describe("SessionRunnerLLM", () => {
      yield* session.resume(sessionID)

      expect(requests).toHaveLength(2)
-      expect(requests.map((request) => request.http?.headers)).toEqual([
-        {
-          "x-session-affinity": sessionID,
-          "X-Session-Id": sessionID,
-        },
-        {
-          "x-session-affinity": sessionID,
-          "X-Session-Id": sessionID,
-        },
-      ])
      expect(userTexts(requests[0])[0]).toContain("## Objective")
      expect(userTexts(requests[1])).toHaveLength(1)
      expect(userTexts(requests[1])[0]).toContain("<summary>\n## Objective\n- Preserve the task\n</summary>")
@@ -2518,43 +2508,6 @@ describe("SessionRunnerLLM", () => {
    }),
  )

-  it.effect("adds session correlation headers to model requests", () =>
-    Effect.gen(function* () {
-      yield* setup
-      const session = yield* SessionV2.Service
-      yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run correlated request" }), resume: false })
-
-      requests.length = 0
-      yield* session.resume(sessionID)
-
-      expect(requests[0]?.http?.headers).toEqual({
-        "x-session-affinity": sessionID,
-        "X-Session-Id": sessionID,
-      })
-    }),
-  )
-
-  it.effect("adds the parent session header to child model requests", () =>
-    Effect.gen(function* () {
-      yield* setup
-      const session = yield* SessionV2.Service
-      const parentID = SessionV2.ID.make("ses_runner_parent")
-      const { db } = yield* Database.Service
-      yield* db
-        .update(SessionTable)
-        .set({ parent_id: parentID })
-        .where(eq(SessionTable.id, sessionID))
-        .run()
-        .pipe(Effect.orDie)
-      yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run child request" }), resume: false })
-
-      requests.length = 0
-      yield* session.resume(sessionID)
-
-      expect(requests[0]?.http?.headers?.["x-parent-session-id"]).toBe(parentID)
-    }),
-  )
-
  it.effect("bounds 64-character session prompt cache keys", () =>
    Effect.gen(function* () {
      yield* setup
@@ -64,7 +64,7 @@
    "@ai-sdk/deepinfra": "2.0.41",
    "@ai-sdk/gateway": "3.0.104",
    "@ai-sdk/google": "3.0.73",
-    "@ai-sdk/google-vertex": "4.0.181",
+    "@ai-sdk/google-vertex": "4.0.128",
    "@ai-sdk/groq": "3.0.31",
    "@ai-sdk/mistral": "3.0.51",
    "@ai-sdk/openai": "3.0.84",
@@ -1,6 +1,70 @@
+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({
@@ -12,15 +76,102 @@ export async function AzureAuthPlugin(_input: PluginInput): Promise<Hooks> {
  }

  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
+}
@@ -37,12 +37,10 @@ function base64UrlEncode(buffer: ArrayBuffer): string {

 export interface IdTokenClaims {
  chatgpt_account_id?: string
-  chatgpt_compute_residency?: string
  organizations?: Array<{ id: string }>
  email?: string
  "https://api.openai.com/auth"?: {
    chatgpt_account_id?: string
-    chatgpt_compute_residency?: string
  }
 }

@@ -77,14 +75,6 @@ export function extractAccountId(tokens: TokenResponse): string | undefined {
  return undefined
 }

-export function extractResidency(token: string): string | undefined {
-  const claims = parseJwtClaims(token)
-  const residency =
-    claims?.["https://api.openai.com/auth"]?.chatgpt_compute_residency ?? claims?.chatgpt_compute_residency
-  if (!residency || residency === "no_constraint") return undefined
-  return residency
-}
-
 function buildAuthorizeUrl(redirectUri: string, pkce: PkceCodes, state: string): string {
  const params = new URLSearchParams({
    response_type: "code",
@@ -416,12 +406,10 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
              requestInput instanceof URL
                ? requestInput
                : new URL(typeof requestInput === "string" ? requestInput : requestInput.url)
-            const rewrite = parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
-            const url = rewrite ? new URL(codexApiEndpoint) : parsed
-            if (rewrite) {
-              const residency = extractResidency(currentAuth.access)
-              if (residency) headers.set("x-openai-internal-codex-residency", residency)
-            }
+            const url =
+              parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
+                ? new URL(codexApiEndpoint)
+                : parsed

            const requestInit = {
              ...init,
@@ -110,11 +110,10 @@ export function createWebSocketFetch(options?: CreateWebSocketFetchOptions) {
            invalidate(entry)
          }
        },
-        onConnectionInvalid: (_error, closeCode) => {
+        onConnectionInvalid: (error) => {
          entry.busy = false
          entry.lastUsedAt = Date.now()
-          if (closeCode === OpenAIWebSocket.MESSAGE_TOO_BIG_CLOSE_CODE) entry.fallback = true
-          else if (!entry.fallback) recordStreamFailure(entry)
+          if (!entry.fallback) recordStreamFailure(entry)
          invalidate(entry)
          resolveFirstEvent(false)
        },
@@ -9,7 +9,6 @@ import { ProxyEnv } from "@/util/proxy-env"
 import { isRecord } from "@/util/record"

 export const PROTOCOL_HEADER = "responses_websockets=2026-02-06"
-export const MESSAGE_TOO_BIG_CLOSE_CODE = 1009

 export interface ConnectResponsesWebSocketOptions {
  url: string
@@ -27,7 +26,7 @@ export interface StreamResponsesWebSocketOptions {
  onComplete?: (event: Record<string, unknown>) => void
  onTerminal?: (event: Record<string, unknown>) => void
  onRetryableTerminal?: (event: Record<string, unknown>) => Promise<WebSocket | undefined>
-  onConnectionInvalid?: (error: ProviderError.ResponseStreamError, closeCode?: number) => void
+  onConnectionInvalid?: (error: ProviderError.ResponseStreamError) => void
  onAbort?: (error: Error) => void
 }

@@ -163,11 +162,11 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
    controller?.close()
  }

-  function invalidate(error: ProviderError.ResponseStreamError, closeCode?: number) {
+  function invalidate(error: ProviderError.ResponseStreamError) {
    if (completed) return
    completed = true
    cleanup()
-    options.onConnectionInvalid?.(error, closeCode)
+    options.onConnectionInvalid?.(error)
    controller?.error(error)
  }

@@ -275,7 +274,6 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
    if (completed) return
    invalidate(
      new ProviderError.ResponseStreamError(closeMessage("WebSocket closed before response.completed", code, reason)),
-      code,
    )
  }

@@ -375,7 +373,7 @@ function abortError(signal: AbortSignal | undefined) {

 function closeMessage(message: string, code: number, reason: Buffer) {
  const details = [`code ${code}`]
-  if (code === MESSAGE_TOO_BIG_CLOSE_CODE) details.push("message too big")
+  if (code === 1009) details.push("message too big")
  if (reason.length > 0) details.push(reason.toString())
  return `${message} (${details.join(": ")})`
 }
@@ -244,6 +244,7 @@ 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() !== "")
      })
@@ -528,6 +528,7 @@ const GEMINI_MODELS_WITH_SAMPLING_DEFAULTS = [
 export function temperature(model: Provider.Model) {
  const id = model.api.id.toLowerCase()
  if (id.includes("north-mini-code")) return 1.0
+  if (id.includes("qwen")) return 0.55
  if (id.includes("claude")) return undefined
  if (id.includes("gemini"))
    return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 1.0 : undefined
@@ -546,6 +547,7 @@ export function temperature(model: Provider.Model) {

 export function topP(model: Provider.Model) {
  const id = model.api.id.toLowerCase()
+  if (id.includes("qwen")) return 1
  if (id.includes("gemini"))
    return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 0.95 : undefined
  if (["minimax-m2", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
@@ -2,7 +2,6 @@ import { ProviderAuth } from "@/provider/auth"
 import { Config } from "@/config/config"
 import { ModelsDev } from "@opencode-ai/core/models-dev"
 import { Provider } from "@/provider/provider"
-import { Auth } from "@/auth"

 import { mapValues } from "remeda"
 import { Effect, Schema } from "effect"
@@ -37,7 +36,6 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
    const cfg = yield* Config.Service
    const provider = yield* Provider.Service
    const svc = yield* ProviderAuth.Service
-    const authStore = yield* Auth.Service

    const list = Effect.fn("ProviderHttpApi.list")(function* () {
      const config = yield* cfg.get()
@@ -49,7 +47,6 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
        if ((enabled ? enabled.has(key) : true) && !disabled.has(key)) filtered[key] = value
      }
      const connected = yield* provider.list()
-      const credentials = yield* authStore.all().pipe(Effect.orDie)
      const providers = Object.assign(
        mapValues(filtered, (item) => Provider.fromModelsDevProvider(item)),
        connected,
@@ -57,7 +54,7 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
      return {
        all: Object.values(providers).map(Provider.toPublicInfo),
        default: Provider.defaultModelIDs(providers),
-        connected: Object.keys(providers).filter((id) => id in connected || credentials[id]),
+        connected: Object.keys(connected),
      }
    })

@@ -336,8 +336,10 @@ export function plan(input: { slug: string; time: { created: number } }, instanc
 }

 export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?: ProviderMetadata }) => {
-  const finite = (value: number) => (Number.isFinite(value) ? value : 0)
-  const safe = (value: number) => Math.max(0, finite(value))
+  const safe = (value: number) => {
+    if (!Number.isFinite(value)) return 0
+    return Math.max(0, value)
+  }
  const inputTokens = safe(input.usage.inputTokens ?? 0)
  const outputTokens = safe(input.usage.outputTokens ?? 0)
  const reasoningTokens = safe(input.usage.reasoningTokens ?? 0)
@@ -391,13 +393,13 @@ export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?
        ? new Decimal(totalNanoAiu).div(100_000_000_000).toNumber()
        : safe(
            new Decimal(0)
-              .add(new Decimal(tokens.input).mul(finite(costInfo?.input ?? 0)).div(1_000_000))
-              .add(new Decimal(tokens.output).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
-              .add(new Decimal(tokens.cache.read).mul(finite(costInfo?.cache?.read ?? 0)).div(1_000_000))
-              .add(new Decimal(tokens.cache.write).mul(finite(costInfo?.cache?.write ?? 0)).div(1_000_000))
+              .add(new Decimal(tokens.input).mul(costInfo?.input ?? 0).div(1_000_000))
+              .add(new Decimal(tokens.output).mul(costInfo?.output ?? 0).div(1_000_000))
+              .add(new Decimal(tokens.cache.read).mul(costInfo?.cache?.read ?? 0).div(1_000_000))
+              .add(new Decimal(tokens.cache.write).mul(costInfo?.cache?.write ?? 0).div(1_000_000))
              // TODO: update models.dev to have better pricing model, for now:
              // charge reasoning tokens at the same rate as output tokens
-              .add(new Decimal(tokens.reasoning).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
+              .add(new Decimal(tokens.reasoning).mul(costInfo?.output ?? 0).div(1_000_000))
              .toNumber(),
          ),
    tokens,
@@ -0,0 +1,259 @@
+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)
+  })
+})
@@ -1,13 +1,9 @@
 import { describe, expect, test } from "bun:test"
-import { createServer, type IncomingMessage } from "node:http"
-import { type AddressInfo } from "node:net"
-import { WebSocketServer } from "ws"
 import {
  CodexAuthPlugin,
  parseJwtClaims,
  extractAccountIdFromClaims,
  extractAccountId,
-  extractResidency,
  renderOAuthError,
  type IdTokenClaims,
 } from "../../src/plugin/openai/codex"
@@ -135,69 +131,6 @@ describe("plugin.codex", () => {
    })
  })

-  describe("extractResidency", () => {
-    test("extracts compute residency from the namespaced auth claims", () => {
-      expect(
-        extractResidency(
-          createTestJwt({
-            "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
-          }),
-        ),
-      ).toBe("eu")
-    })
-
-    test("falls back to a root compute residency claim", () => {
-      expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "us" }))).toBe("us")
-    })
-
-    test("supports compute residency values without maintaining a region list", () => {
-      expect(
-        extractResidency(
-          createTestJwt({
-            "https://api.openai.com/auth": { chatgpt_compute_residency: "ae" },
-          }),
-        ),
-      ).toBe("ae")
-      expect(
-        extractResidency(
-          createTestJwt({
-            "https://api.openai.com/auth": { chatgpt_compute_residency: "future-region_1" },
-          }),
-        ),
-      ).toBe("future-region_1")
-    })
-
-    test("ignores unconstrained and data residency values", () => {
-      expect(
-        extractResidency(
-          createTestJwt({
-            "https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
-          }),
-        ),
-      ).toBeUndefined()
-      expect(
-        extractResidency(
-          createTestJwt({
-            "https://api.openai.com/auth": { chatgpt_data_residency: "gb" },
-          }),
-        ),
-      ).toBeUndefined()
-      expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "" }))).toBeUndefined()
-      expect(extractResidency("not-a-jwt")).toBeUndefined()
-    })
-
-    test("prefers a namespaced unconstrained value over a root residency", () => {
-      expect(
-        extractResidency(
-          createTestJwt({
-            chatgpt_compute_residency: "eu",
-            "https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
-          }),
-        ),
-      ).toBeUndefined()
-    })
-  })
-
  test("installs websocket transport only when experimental websockets are enabled", async () => {
    const disabled = await CodexAuthPlugin({} as never)
    const enabled = await CodexAuthPlugin({} as never, { experimentalWebSockets: true })
@@ -216,73 +149,6 @@ describe("plugin.codex", () => {
    await enabled.dispose?.()
  })

-  test("sends token residency only to the ChatGPT Codex backend", async () => {
-    const requests: Array<{ path: string; residency: string | null }> = []
-    using server = Bun.serve({
-      port: 0,
-      fetch(request) {
-        requests.push({
-          path: new URL(request.url).pathname,
-          residency: request.headers.get("x-openai-internal-codex-residency"),
-        })
-        return new Response("{}")
-      },
-    })
-    const hooks = await CodexAuthPlugin({} as never, {
-      codexApiEndpoint: new URL("/backend-api/codex/responses", server.url).toString(),
-    })
-    const loaded = await hooks.auth!.loader!(
-      async () =>
-        ({
-          type: "oauth",
-          refresh: "refresh",
-          access: createTestJwt({
-            "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
-          }),
-          expires: Date.now() + 60_000,
-        }) as never,
-      {} as never,
-    )
-
-    await loaded.fetch!("https://api.openai.com/v1/responses")
-    await loaded.fetch!(new URL("/other", server.url))
-
-    expect(requests).toEqual([
-      { path: "/backend-api/codex/responses", residency: "eu" },
-      { path: "/other", residency: null },
-    ])
-  })
-
-  test("sends token residency through the WebSocket transport", async () => {
-    await using server = await createCodexWebSocketServer()
-    const hooks = await CodexAuthPlugin({} as never, {
-      codexApiEndpoint: server.url,
-      experimentalWebSockets: true,
-    })
-    const loaded = await hooks.auth!.loader!(
-      async () =>
-        ({
-          type: "oauth",
-          refresh: "refresh",
-          access: createTestJwt({
-            "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
-          }),
-          expires: Date.now() + 60_000,
-        }) as never,
-      {} as never,
-    )
-
-    const response = await loaded.fetch!("https://api.openai.com/v1/responses", {
-      method: "POST",
-      headers: { "session-id": "session-1" },
-      body: JSON.stringify({ stream: true, input: "hi" }),
-    })
-
-    expect(await response.text()).toContain("data: [DONE]")
-    expect(server.headers()?.["x-openai-internal-codex-residency"]).toBe("eu")
-    await hooks.dispose?.()
-  })
-
  test("filters unsupported modes and uses Codex context limits for OAuth GPT models", async () => {
    const hooks = await CodexAuthPlugin({} as never)
    const limit = { context: 1_050_000, input: 922_000, output: 128_000 }
@@ -327,9 +193,6 @@ describe("plugin.codex", () => {
  })

  test("deduplicates concurrent Codex token refreshes", async () => {
-    const refreshedAccess = createTestJwt({
-      "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
-    })
    let auth = {
      type: "oauth" as const,
      refresh: "refresh-old",
@@ -344,7 +207,7 @@ describe("plugin.codex", () => {
      resolveRefresh = resolve
    })
    let refreshRequests = 0
-    const apiRequests: { authorization: string | null; accountId: string | null; residency: string | null }[] = []
+    const apiRequests: { authorization: string | null; accountId: string | null }[] = []

    using server = Bun.serve({
      port: 0,
@@ -356,7 +219,7 @@ describe("plugin.codex", () => {
          await refreshReady
          return Response.json({
            id_token: createTestJwt({ chatgpt_account_id: "acc-123" }),
-            access_token: refreshedAccess,
+            access_token: "access-new",
            refresh_token: "refresh-new",
            expires_in: 3600,
          })
@@ -366,7 +229,6 @@ describe("plugin.codex", () => {
          apiRequests.push({
            authorization: request.headers.get("authorization"),
            accountId: request.headers.get("ChatGPT-Account-Id"),
-            residency: request.headers.get("x-openai-internal-codex-residency"),
          })
          return new Response("{}", { status: 200 })
        }
@@ -419,11 +281,11 @@ describe("plugin.codex", () => {
    expect(refreshRequests).toBe(1)
    expect(authUpdates).toHaveLength(1)
    expect(authUpdates[0]?.body.refresh).toBe("refresh-new")
-    expect(authUpdates[0]?.body.access).toBe(refreshedAccess)
+    expect(authUpdates[0]?.body.access).toBe("access-new")
    expect(authUpdates[0]?.body.accountId).toBe("acc-123")
    expect(apiRequests).toEqual([
-      { authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
-      { authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
+      { authorization: "Bearer access-new", accountId: "acc-123" },
+      { authorization: "Bearer access-new", accountId: "acc-123" },
    ])
  })
 })
@@ -435,29 +297,3 @@ async function waitFor(predicate: () => boolean) {
    await new Promise((resolve) => setTimeout(resolve, 1))
  }
 }
-
-async function createCodexWebSocketServer() {
-  let headers: IncomingMessage["headers"] | undefined
-  const server = createServer()
-  const sockets = new WebSocketServer({ server })
-  sockets.on("connection", (socket, request) => {
-    headers = request.headers
-    socket.once("message", () => {
-      socket.send(JSON.stringify({ type: "response.completed", response: { id: "resp_123" } }))
-    })
-  })
-  await new Promise<void>((resolve, reject) => {
-    server.once("error", reject)
-    server.listen(0, "127.0.0.1", resolve)
-  })
-  const address = server.address() as AddressInfo
-  return {
-    url: `http://127.0.0.1:${address.port}/backend-api/codex/responses`,
-    headers: () => headers,
-    async [Symbol.asyncDispose]() {
-      for (const socket of sockets.clients) socket.terminate()
-      sockets.close()
-      server.close()
-    },
-  }
-}
@@ -17,18 +17,13 @@ describe("plugin.openai.ws", () => {

    const socket = await OpenAIWebSocket.connectResponsesWebSocket({
      url: server.wsUrl,
-      headers: {
-        authorization: "Bearer test",
-        "content-length": "123",
-        "x-openai-internal-codex-residency": "eu",
-      },
+      headers: { authorization: "Bearer test", "content-length": "123" },
    })

    expect(OpenAIWebSocket.toWebSocketUrl("http://example.com/v1/responses")).toBe("ws://example.com/v1/responses")
    expect(OpenAIWebSocket.toWebSocketUrl("https://example.com/v1/responses")).toBe("wss://example.com/v1/responses")
    expect(headers?.authorization).toBe("Bearer test")
    expect(headers?.["openai-beta"]).toBe(OpenAIWebSocket.PROTOCOL_HEADER)
-    expect(headers?.["x-openai-internal-codex-residency"]).toBe("eu")
    expect(headers?.["content-length"]).toBeUndefined()
    socket.terminate()
  })
@@ -237,26 +232,6 @@ describe("plugin.openai.ws-pool", () => {
    fetch.close()
  })

-  test("falls back immediately to HTTP when a websocket request is too large", async () => {
-    let connections = 0
-    await using server = await createWebSocketServer((socket) => {
-      connections += 1
-      socket.once("message", () => socket.close(1009, "payload too large"))
-    })
-    const fetch = OpenAIWebSocketPool.createWebSocketFetch({
-      url: server.url,
-    })
-
-    const first = await fetch(server.url, streamRequest())
-    const second = await fetch(server.url, streamRequest())
-
-    expect(await first.text()).toBe("http")
-    expect(await second.text()).toBe("http")
-    expect(connections).toBe(1)
-    expect(server.httpRequests).toHaveLength(2)
-    fetch.close()
-  })
-
  test("removes HTTP fallback when its session is deleted", async () => {
    let websocketAttempts = 0
    await using server = await createRejectingWebSocketServer(() => websocketAttempts++)
@@ -3215,19 +3215,6 @@ describe("ProviderTransform.temperature - Cohere North", () => {
  })
 })

-describe("ProviderTransform sampling defaults - Qwen", () => {
-  test.each(["Qwen3.8-27B", "qwen3-coder-30b-a3b-instruct"])('leaves sampling unset for "%s"', (id) => {
-    const model = {
-      id: `custom/${id}`,
-      api: { id },
-    } as any
-
-    expect(ProviderTransform.temperature(model)).toBeUndefined()
-    expect(ProviderTransform.topP(model)).toBeUndefined()
-    expect(ProviderTransform.topK(model)).toBeUndefined()
-  })
-})
-
 describe("ProviderTransform sampling defaults - Gemini", () => {
  const model = (id: string) =>
    ({
@@ -1782,22 +1782,6 @@ describe("SessionNs.getUsage", () => {
    expect(Number.isNaN(result.cost)).toBe(false)
  })

-  test("ignores malformed cost fields", () => {
-    const model = createModel({
-      context: 100_000,
-      output: 32_000,
-      cost: { input: 3, output: 15, cache: { read: 0.3, write: 3.75 } },
-    })
-    Object.assign(model.cost, { input: {} })
-
-    const result = SessionNs.getUsage({
-      model,
-      usage: usage({ inputTokens: 1_000_000, outputTokens: 100_000, totalTokens: 1_100_000 }),
-    })
-
-    expect(result.cost).toBe(1.5)
-  })
-
  test("calculates cost correctly", () => {
    const model = createModel({
      context: 100_000,
@@ -61,7 +61,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | 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    | 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           |
+| DeepSeek V4 Flash | 3,800               | 9,450              | 18,900           |
 | Hy3               | 4,300               | 10,750             | 21,500           |

 تستند التقديرات إلى أنماط الطلبات المرصودة:
@@ -120,7 +118,6 @@ 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 — ‏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
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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          | -               | $30       |
-| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32   | $0.014          | -               | $30       |
+| DeepSeek V4 Flash (Off-Peak) | $0.22   | $0.66   | $0.007          | -               | $15       |
+| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32   | $0.014          | -               | $15       |
 | 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/).
@@ -211,7 +207,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | غير مستخدَمة  | 0 أيام             |
 | MiniMax M3        | غير مستخدَمة  | 0 أيام             |
 | MiniMax M2.7      | غير مستخدَمة  | 0 أيام             |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -71,7 +71,6 @@ Trenutna lista modela uključuje:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -110,13 +109,12 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
 | 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    | 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            |
+| DeepSeek V4 Flash | 3,800              | 9,450             | 18,900            |
 | Hy3               | 4,300              | 10,750            | 21,500            |

 Procjene se zasnivaju na zapaženim obrascima zahtjeva:
@@ -130,7 +128,6 @@ 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 — 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
@@ -157,7 +154,6 @@ 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               | $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       |
@@ -166,8 +162,8 @@ 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      | -            | $30       |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30       |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15       |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15       |
 | 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/).
@@ -223,7 +219,6 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
 | 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    | muse-spark-1.2    | `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`         |
@@ -266,14 +261,12 @@ https://opencode.ai/zen/go/v1/models
 | 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    | 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:** 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.

 ---
@@ -71,7 +71,6 @@ Den nuværende liste over modeller inkluderer:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -110,13 +109,12 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
 | 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    | 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                |
+| DeepSeek V4 Flash | 3,800                   | 9,450               | 18,900                |
 | Hy3               | 4,300                   | 10,750              | 21,500                |

 Estimaterne er baseret på observerede anmodningsmønstre:
@@ -130,7 +128,6 @@ 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 — 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
@@ -157,7 +154,6 @@ 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               | $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     |
@@ -166,8 +162,8 @@ 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      | -            | $30     |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30     |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15     |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15     |
 | 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/).
@@ -223,7 +219,6 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
 | 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    | muse-spark-1.2    | `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`         |
@@ -266,14 +261,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Ikke brugt   | 0 dage         |
 | MiniMax M3        | Ikke brugt   | 0 dage         |
 | MiniMax M2.7      | Ikke brugt   | 0 dage         |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -63,7 +63,6 @@ Die aktuelle Liste der Modelle umfasst:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -102,13 +101,12 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
 | 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    | 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             |
+| DeepSeek V4 Flash | 3,800                  | 9,450              | 18,900             |
 | Hy3               | 4,300                  | 10,750             | 21,500             |

 Die Schätzungen basieren auf beobachteten Anfragemustern:
@@ -122,7 +120,6 @@ 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 — 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
@@ -149,7 +146,6 @@ 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               | $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     |
@@ -158,8 +154,8 @@ 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      | -            | $30     |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30     |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15     |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15     |
 | 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/).
@@ -213,7 +209,6 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
 | 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    | muse-spark-1.2    | `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`         |
@@ -254,14 +249,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Nicht verwendet | 0 Tage            |
 | MiniMax M3        | Nicht verwendet | 0 Tage            |
 | MiniMax M2.7      | Nicht verwendet | 0 Tage            |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -71,7 +71,6 @@ La lista actual de modelos incluye:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -110,13 +109,12 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
 | 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    | 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             |
+| DeepSeek V4 Flash | 3,800                  | 9,450                 | 18,900             |
 | Hy3               | 4,300                  | 10,750                | 21,500             |

 Las estimaciones se basan en los patrones de peticiones observados:
@@ -130,7 +128,6 @@ 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 — 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
@@ -157,7 +154,6 @@ 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               | $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 |
@@ -166,8 +162,8 @@ 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           | -                  | $30 |
-| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32  | $0.014           | -                  | $30 |
+| DeepSeek V4 Flash (Off-Peak) | $0.22   | $0.66  | $0.007           | -                  | $15 |
+| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32  | $0.014           | -                  | $15 |
 | 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/).
@@ -223,7 +219,6 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
 | 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    | muse-spark-1.2    | `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`         |
@@ -266,14 +261,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | No utilizado             | 0 días             |
 | MiniMax M3        | No utilizado             | 0 días             |
 | MiniMax M2.7      | No utilizado             | 0 días             |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -61,7 +61,6 @@ La liste actuelle des modèles comprend :
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
 | 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    | 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            |
+| DeepSeek V4 Flash | 3,800                 | 9,450                | 18,900            |
 | Hy3               | 4,300                 | 10,750               | 21,500            |

 Les estimations sont basées sur les schémas de requêtes observés :
@@ -120,7 +118,6 @@ 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 — 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
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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      | -            | $30         |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30         |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15         |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15         |
 | 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/).
@@ -211,7 +207,6 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Non utilisé              | 0 jour                   |
 | MiniMax M3        | Non utilisé              | 0 jour                   |
 | MiniMax M2.7      | Non utilisé              | 0 jour                   |
-| Muse Spark 1.2    | 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 d’importantes fonctionnalités API qui dépendent des données stockées, notamment Responses API avec état, Files and Collections et Batch API. [En savoir plus](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
 - **GPT 5.6 Luna:** Des journaux de surveillance des abus sont générés pour toute utilisation des fonctionnalités API et conservés pendant un maximum de 30 jours. [En savoir plus](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **Muse Spark 1.2:** Des tarifs de tokens fortement réduits en échange de l’autorisation d’utiliser vos prompts et vos complétions pour entraîner de futurs modèles Meta. [En savoir plus](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
 - **DeepSeek V4 Flash:** L’accord ZDR est renouvelé chaque mois. L’accord actuel est valable jusqu’au 31 août 2026.

 ---
@@ -71,7 +71,6 @@ The current list of models includes:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -110,13 +109,12 @@ The table below provides an estimated request count based on typical Go usage pa
 | 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    | 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             |
+| DeepSeek V4 Flash | 3,800               | 9,450             | 18,900             |
 | Hy3               | 4,300               | 10,750            | 21,500             |

 The estimates are based on observed request patterns:
@@ -130,7 +128,6 @@ 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 — 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
@@ -157,7 +154,6 @@ 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               | $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   |
@@ -166,8 +162,8 @@ 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      | -            | $30   |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30   |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15   |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15   |
 | 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/).
@@ -223,7 +219,6 @@ You can also access Go models through the following API endpoints.
 | 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    | muse-spark-1.2    | `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`         |
@@ -266,14 +261,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Not used       | 0 days         |
 | MiniMax M3        | Not used       | 0 days         |
 | MiniMax M2.7      | Not used       | 0 days         |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -69,7 +69,6 @@ L'elenco attuale dei modelli include:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -108,13 +107,12 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
 | 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    | 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            |
+| DeepSeek V4 Flash | 3,800                | 9,450                 | 18,900            |
 | Hy3               | 4,300                | 10,750                | 21,500            |

 Le stime si basano sui pattern di richieste osservati:
@@ -128,7 +126,6 @@ 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 — 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
@@ -155,7 +152,6 @@ 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               | $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      |
@@ -164,8 +160,8 @@ 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      | -            | $30      |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30      |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15      |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15      |
 | 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/).
@@ -221,7 +217,6 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
 | 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    | muse-spark-1.2    | `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`         |
@@ -264,14 +259,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Non utilizzato            | 0 giorni               |
 | MiniMax M3        | Non utilizzato            | 0 giorni               |
 | MiniMax M2.7      | Non utilizzato            | 0 giorni               |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -61,7 +61,6 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ OpenCode Goには以下の制限が含まれています：
 | 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    | 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           |
+| DeepSeek V4 Flash | 3,800                     | 9,450            | 18,900           |
 | 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：
@@ -120,7 +118,6 @@ 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 — 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
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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      | -            | $30   |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30   |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15   |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15   |
 | 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/)。
@@ -211,7 +207,6 @@ 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
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | 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    | 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:** 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。

 ---
@@ -61,7 +61,6 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
 | 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    | 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         |
+| DeepSeek V4 Flash | 3,800             | 9,450          | 18,900         |
 | Hy3               | 4,300             | 10,750         | 21,500         |

 이 예상치는 관찰된 요청 패턴을 기준으로 합니다.
@@ -120,7 +118,6 @@ 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 — 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
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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      | -            | $30   |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30   |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15   |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15   |
 | 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/).
@@ -211,7 +207,6 @@ Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | 사용되지 않음 | 0일         |
 | MiniMax M3        | 사용되지 않음 | 0일         |
 | MiniMax M2.7      | 사용되지 않음 | 0일         |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -71,7 +71,6 @@ Den nåværende listen over modeller inkluderer:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -110,13 +109,12 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
 | 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    | 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                 |
+| DeepSeek V4 Flash | 3,800                    | 9,450                | 18,900                 |
 | Hy3               | 4,300                    | 10,750               | 21,500                 |

 Estimatene er basert på observerte forespørselsmønstre:
@@ -130,7 +128,6 @@ 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 — 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
@@ -157,7 +154,6 @@ 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               | $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  |
@@ -166,8 +162,8 @@ 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      | -            | $30  |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30  |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15  |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15  |
 | 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/).
@@ -223,7 +219,6 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
 | 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    | muse-spark-1.2    | `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`         |
@@ -266,14 +261,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Brukes ikke   | 0 dager         |
 | MiniMax M3        | Brukes ikke   | 0 dager         |
 | MiniMax M2.7      | Brukes ikke   | 0 dager         |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -65,7 +65,6 @@ Obecna lista modeli obejmuje:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -104,13 +103,12 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
 | 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    | 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             |
+| DeepSeek V4 Flash | 3,800               | 9,450              | 18,900             |
 | Hy3               | 4,300               | 10,750             | 21,500             |

 Szacunki te opierają się na zaobserwowanych wzorcach żądań:
@@ -124,7 +122,6 @@ 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 — 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
@@ -151,7 +148,6 @@ 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               | $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 +156,8 @@ 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         | -              | $30    |
-| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32   | $0.014         | -              | $30    |
+| DeepSeek V4 Flash (Off-Peak) | $0.22   | $0.66   | $0.007         | -              | $15    |
+| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32   | $0.014         | -              | $15    |
 | 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/).
@@ -215,7 +211,6 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
 | 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    | muse-spark-1.2    | `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`         |
@@ -258,14 +253,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Niewykorzystywane | 0 dni           |
 | MiniMax M3        | Niewykorzystywane | 0 dni           |
 | MiniMax M2.7      | Niewykorzystywane | 0 dni           |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -457,6 +457,14 @@ 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
@@ -1718,10 +1726,6 @@ 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.
@@ -71,7 +71,6 @@ A lista atual de modelos inclui:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -110,13 +109,12 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
 | 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    | 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              |
+| DeepSeek V4 Flash | 3,800                   | 9,450                  | 18,900              |
 | Hy3               | 4,300                   | 10,750                 | 21,500              |

 As estimativas se baseiam nos padrões de requisições observados:
@@ -130,7 +128,6 @@ 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 — 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
@@ -157,7 +154,6 @@ 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               | $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 |
@@ -166,8 +162,8 @@ 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           | -                | $30 |
-| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32  | $0.014           | -                | $30 |
+| DeepSeek V4 Flash (Off-Peak) | $0.22   | $0.66  | $0.007           | -                | $15 |
+| DeepSeek V4 Flash (Peak)     | $0.44   | $1.32  | $0.014           | -                | $15 |
 | 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/).
@@ -223,7 +219,6 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
 | 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    | muse-spark-1.2    | `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`         |
@@ -266,14 +261,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Não usado              | 0 dias            |
 | MiniMax M3        | Não usado              | 0 dias            |
 | MiniMax M2.7      | Não usado              | 0 dias            |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -71,7 +71,6 @@ OpenCode Go работает так же, как и любой другой пр
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -110,13 +109,12 @@ OpenCode Go включает следующие лимиты:
 | 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    | 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           |
+| DeepSeek V4 Flash | 3,800               | 9,450             | 18,900           |
 | Hy3               | 4,300               | 10,750            | 21,500           |

 Эти оценки основаны на наблюдаемых показателях запросов:
@@ -130,7 +128,6 @@ 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 — 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
@@ -157,7 +154,6 @@ 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               | $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           |
@@ -166,8 +162,8 @@ 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      | -            | $30           |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30           |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15           |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15           |
 | 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/).
@@ -223,7 +219,6 @@ OpenCode Go включает следующие лимиты:
 | 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    | muse-spark-1.2    | `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`         |
@@ -266,14 +261,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Не используется  | 0 дней          |
 | MiniMax M3        | Не используется  | 0 дней          |
 | MiniMax M2.7      | Не используется  | 0 дней          |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -61,7 +61,6 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 | 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    | 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            |
+| DeepSeek V4 Flash | 3,800                  | 9,450               | 18,900            |
 | Hy3               | 4,300                  | 10,750              | 21,500            |

 การประมาณการนี้อ้างอิงจากรูปแบบการใช้งาน request ที่สังเกตพบ:
@@ -120,7 +118,6 @@ 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 — 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
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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      | -            | $30   |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30   |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15   |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15   |
 | 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/)
@@ -211,7 +207,6 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | ไม่นำไปใช้  | 0 วัน              |
 | MiniMax M3        | ไม่นำไปใช้  | 0 วัน              |
 | MiniMax M2.7      | ไม่นำไปใช้  | 0 วัน              |
-| Muse Spark 1.2    | 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:** 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

 ---
@@ -61,7 +61,6 @@ Mevcut model listesi şunları içerir:
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
- **Muse Spark 1.2**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
 | 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    | 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      |
+| DeepSeek V4 Flash | 3,800              | 9,450          | 18,900      |
 | Hy3               | 4,300              | 10,750         | 21,500      |

 Tahminler, gözlemlenen istek modellerine dayanır:
@@ -120,7 +118,6 @@ 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 — 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
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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      | -            | $30      |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $30      |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007      | -            | $15      |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014      | -            | $15      |
 | 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/).
@@ -211,7 +207,6 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | Qwen3.6 Plus      | Kullanılmaz   | 0 gün        |
 | MiniMax M3        | Kullanılmaz   | 0 gün        |
 | MiniMax M2.7      | Kullanılmaz   | 0 gün        |
-| Muse Spark 1.2    | 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:** 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.

 ---
@@ -61,7 +61,6 @@ 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**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ OpenCode Go 包含以下限制：
 | 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    | 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     |
+| DeepSeek V4 Flash | 3,800           | 9,450      | 18,900     |
 | Hy3               | 4,300           | 10,750     | 21,500     |

 预估值基于观察到的请求模式：
@@ -122,7 +120,6 @@ OpenCode Go 包含以下限制：
 - MiMo-V2.5-Pro — 每次请求 790 个输入 token，86,000 个缓存 token，305 个输出 token
 - MiniMax M3 — 每次请求 510 个输入 token，56,000 个缓存 token，190 个输出 token
 - MiniMax M2.7 — 每次请求 300 个输入 token，55,000 个缓存 token，125 个输出 token
- Muse Spark 1.2 — 每次请求 620 个输入 token，71,400 个缓存 token，300 个输出 token
 - Qwen3.8 Max — 每次请求 420 个输入 token，66,000 个缓存 token，200 个输出 token
 - Qwen3.7 Max — 每次请求 420 个输入 token，66,000 个缓存 token，200 个输出 token
 - Qwen3.7 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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    | -        | $30      |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014    | -        | $30      |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007    | -        | $15      |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014    | -        | $15      |
 | 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/)。
@@ -211,7 +207,6 @@ OpenCode Go 包含以下限制：
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | 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    | 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:** 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。

 ---
@@ -61,7 +61,6 @@ 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**
 - **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
@@ -100,13 +99,12 @@ OpenCode Go 包含以下限制：
 | 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    | 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     |
+| DeepSeek V4 Flash | 3,800           | 9,450      | 18,900     |
 | Hy3               | 4,300           | 10,750     | 21,500     |

 這些預估值是基於觀察到的請求模式：
@@ -120,7 +118,6 @@ 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 — 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
@@ -147,7 +144,6 @@ 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               | $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 +152,8 @@ 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    | -        | $30    |
-| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014    | -        | $30    |
+| DeepSeek V4 Flash (Off-Peak) | $0.22  | $0.66  | $0.007    | -        | $15    |
+| DeepSeek V4 Flash (Peak)     | $0.44  | $1.32  | $0.014    | -        | $15    |
 | 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/)。
@@ -211,7 +207,6 @@ OpenCode Go 包含以下限制：
 | 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    | muse-spark-1.2    | `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`         |
@@ -252,14 +247,12 @@ https://opencode.ai/zen/go/v1/models
 | 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    | 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:** 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。

 ---
@@ -38,6 +38,9 @@ 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`
Author	SHA1	Message	Date
Filip Hejmowski	4fdb104bb5	feat: discover models	2026-08-17 18:23:50 +02:00
Filip Hejmowski	b02419621b	Merge remote-tracking branch 'origin/azure-cli-auth' into azure-cli-auth	2026-08-17 17:54:29 +02:00
Filip Hejmowski	95f098a721	remove overengineering	2026-08-17 17:52:14 +02:00
Filip Hejmowski	8c39e13b77	wip	2026-08-17 17:09:59 +02:00
Filip	ed11c895c6	Merge branch 'dev' into azure-cli-auth	2026-08-17 14:48:01 +02:00
Filip Hejmowski	8bc87d3c6a	better listing	2026-08-17 14:33:37 +02:00
Filip Hejmowski	1ec78c705a	clean uppp	2026-08-17 13:41:54 +02:00
Filip Hejmowski	ede6c4f1a6	remove unnecessary maunal resource / sub id handling	2026-08-17 13:10:51 +02:00
Filip Hejmowski	c34171845e	refactor	2026-08-17 12:50:57 +02:00
Filip Hejmowski	4a7a497597	proper model filtering for azure	2026-08-17 12:38:41 +02:00
Filip Hejmowski	b7f72b1bd4	feat: azure oauth	2026-08-17 12:09:11 +02:00
Aiden Cline	cff8ba313a	Merge branch 'dev' into feat/azure-oauth	2026-08-17 00:01:12 -05:00
OpeOginni	836fcfb742	Merge branch 'dev' into feat/azure-oauth	2026-08-07 12:13:56 +02:00
OpeOginni	03d1099933	Merge branch 'dev' into feat/azure-oauth	2026-07-30 19:08:05 +02:00
OpeOginni	e41e416beb	chore: merge dev into azure oauth	2026-07-20 17:30:37 +02:00
OpeOginni	2d16759723	Merge branch 'dev' into feat/azure-oauth	2026-07-10 11:06:33 +02:00
OpeOginni	a41ed1cdf2	Merge branch 'dev' into feat/azure-oauth	2026-07-08 08:12:52 +02:00
OpeOginni	24479e2df9	fix: run az cli command/check before storing during azure provider connection	2026-07-08 08:06:41 +02:00
OpeOginni	365a95c91b	chore: improve comment v2 & moved delete of azureOpenAICompatibleBaseURL	2026-06-29 14:03:09 +02:00
OpeOginni	49ca92621d	chore: improve comment	2026-06-29 14:02:35 +02:00
OpeOginni	92aa12a609	fix(provider): preserve cognitive model endpoints in Oauth connection	2026-06-29 13:53:15 +02:00
OpeOginni	484b662665	Merge branch 'dev' into feat/azure-oauth	2026-06-26 17:13:33 +02:00
OpeOginni	e8d955a40c	fix(provider): resolve azure cognitive services oauth endpoints	2026-06-26 17:13:03 +02:00
OpeOginni	7adfe50b9a	fix(provider): resolve azure cognitive services resource vars	2026-06-23 00:14:44 +02:00
OpeOginni	5613ebb514	docs: fixed description of azure oauth	2026-06-22 17:24:03 +02:00
OpeOginni	c0ecd5da0e	fix: validate azure cli token expiry parsing	2026-06-22 17:17:14 +02:00
OpeOginni	be5f5dbc29	fix: prefer azure cli expires_on for token cache	2026-06-22 17:13:47 +02:00
OpeOginni	3cf9cfb6f3	docs: display to use the Foundry inference role for Cognitive Services	2026-06-22 17:11:41 +02:00
OpeOginni	fcc21f3dc5	fix: Remove the Anthropic API-key header when using bearer authentication	2026-06-22 17:08:36 +02:00
OpeOginni	fa40659b7f	fix: Preserve model-specific endpoints for Azure Cognitive Services OAuth	2026-06-22 17:07:38 +02:00
OpeOginni	fdf14a8462	chore: improved azure oauth method name and ran format	2026-06-16 16:34:13 +02:00
OpeOginni	db43ee0b05	docs: revert localized provider updates	2026-06-16 16:00:21 +02:00
OpeOginni	2b53cf0f4a	Merge branch 'dev' into feat/azure-oauth	2026-06-16 15:55:55 +02:00
OpeOginni	dffa1045d3	Merge branch 'dev' into feat/azure-oauth	2026-06-08 14:02:33 +02:00
OpeOginni	d862d02d0e	docs: added more docs on new methods to connect azure and az cognitive	2026-06-08 13:24:28 +02:00
OpeOginni	4abac2a431	feat(opencode): added oauth to azure through MS Entra ID and az cli	2026-06-08 13:23:59 +02:00
				`@@ -1 +0,0 @@`
				ALTER TABLE `workspace` ADD `allow_non_zdr` boolean;
				`@@ -1 +0,0 @@`
				ALTER TABLE `workspace` RENAME COLUMN `allow_non_zdr` TO `allow_training`;