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doc: qwen3.5 & 3.6

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16
packages/web/src/content/docs/ar/go.mdx
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@@ -59,6 +59,8 @@ OpenCode Go حاليًا في المرحلة التجريبية.
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
قد تتغير قائمة النماذج مع استمرارنا في اختبار نماذج جديدة وإضافتها.
@@ -77,17 +79,19 @@ OpenCode Go حاليًا في المرحلة التجريبية.
يوضح الجدول أدناه عددًا تقديريًا للطلبات بناءً على أنماط استخدام Go المعتادة:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| الطلبات لكل 5 ساعات | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| الطلبات في الأسبوع | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| الطلبات في الشهر | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| الطلبات لكل 5 ساعات | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| الطلبات في الأسبوع | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| الطلبات في الشهر | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
تستند التقديرات إلى متوسطات أنماط الطلبات المرصودة:
- GLM-5/5.1 — ‏700 input، و52,000 cached، و150 output tokens لكل طلب
- Kimi K2.5 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
- MiniMax M2.7/M2.5 — ‏300 input، و55,000 cached، و125 output tokens لكل طلب
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — ‏350 input، و41,000 cached، و250 output tokens لكل طلب
- MiMo-V2-Omni — ‏1000 input، و60,000 cached، و140 output tokens لكل طلب
@@ -120,6 +124,8 @@ OpenCode Go حاليًا في المرحلة التجريبية.
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K2.5، ستستخدم `opencode-go/kimi-k2.5` في إعداداتك.

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packages/web/src/content/docs/ar/zen.mdx
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@@ -84,6 +84,8 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -92,7 +94,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.3 Codex، ستستخدم `opencode/gpt-5.3-codex` في إعداداتك.
@@ -118,7 +119,8 @@ https://opencode.ai/zen/v1/models
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -166,7 +168,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- MiMo V2 Pro Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- MiMo V2 Omni Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- Qwen3.6 Plus Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- Nemotron 3 Super Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- Big Pickle نموذج خفي ومتاح مجانا على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
@@ -212,7 +213,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
- MiMo V2 Pro Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
- MiMo V2 Omni Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
- Qwen3.6 Plus Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
- Nemotron 3 Super Free (نقاط نهاية NVIDIA المجانية): يُقدَّم بموجب [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). للاستخدام التجريبي فقط، وليس للإنتاج أو البيانات الحساسة. تقوم NVIDIA بتسجيل المطالبات والمخرجات لتحسين نماذجها وخدماتها. لا ترسل بيانات شخصية أو سرية.
- OpenAI APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -69,6 +69,8 @@ Trenutna lista modela uključuje:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
Lista modela se može mijenjati dok testiramo i dodajemo nove.
@@ -87,17 +89,19 @@ Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni br
Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca korištenja Go pretplate:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------ | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| zahtjeva na 5 sati | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| zahtjeva sedmično | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| zahtjeva mjesečno | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ------------------ | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| zahtjeva na 5 sati | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| zahtjeva sedmično | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| zahtjeva mjesečno | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
- GLM-5/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
- Kimi K2.5 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
- MiniMax M2.7/M2.5 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 ulaznih, 41,000 keširanih, 250 izlaznih tokena po zahtjevu
- MiMo-V2-Omni — 1000 ulaznih, 60,000 keširanih, 140 izlaznih tokena po zahtjevu
@@ -132,6 +136,8 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[Model id](/docs/config/#models) u vašoj OpenCode konfiguraciji
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K2.5, koristili biste

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@@ -89,6 +89,8 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -97,7 +99,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) u vašoj OpenCode konfiguraciji koristi format
@@ -125,7 +126,8 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -173,7 +175,6 @@ Besplatni modeli:
- MiniMax M2.5 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- MiMo V2 Pro Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- MiMo V2 Omni Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- Qwen3.6 Plus Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- Nemotron 3 Super Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- Big Pickle je stealth model koji je besplatan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
@@ -224,7 +225,6 @@ i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
- MiniMax M2.5 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
- MiMo V2 Pro Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
- MiMo V2 Omni Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
- Qwen3.6 Plus Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
- Nemotron 3 Super Free (besplatni NVIDIA endpointi): Dostupan je prema [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Samo za probnu upotrebu, nije za produkciju niti osjetljive podatke. NVIDIA bilježi promptove i izlaze radi poboljšanja svojih modela i usluga. Nemojte slati lične ili povjerljive podatke.
- OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -69,6 +69,8 @@ Den nuværende liste over modeller inkluderer:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
Listen over modeller kan ændre sig, efterhånden som vi tester og tilføjer nye.
@@ -87,17 +89,19 @@ Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmod
Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-forbrugsmønstre:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ----------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| anmodninger pr. 5 timer | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 |
| anmodninger pr. uge | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 |
| anmodninger pr. måned | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ----------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| anmodninger pr. 5 timer | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 | 3,300 | 10,200 |
| anmodninger pr. uge | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 | 8,200 | 25,200 |
| anmodninger pr. måned | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 | 20,500 | 50,500 |
Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
- GLM-5/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
- Kimi K2.5 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
- MiniMax M2.7/M2.5 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 input, 41.000 cachelagrede, 250 output-tokens pr. anmodning
- MiMo-V2-Omni — 1000 input, 60.000 cachelagrede, 140 output-tokens pr. anmodning
@@ -132,6 +136,8 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
Dit [model id](/docs/config/#models) i din OpenCode config
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K2.5, vil du

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@@ -89,6 +89,8 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -97,7 +99,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) i din OpenCode-konfiguration
@@ -125,7 +126,8 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -173,7 +175,6 @@ De gratis modeller:
- MiniMax M2.5 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- MiMo V2 Pro Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- MiMo V2 Omni Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- Qwen3.6 Plus Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- Nemotron 3 Super Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- Big Pickle er en stealth-model, som er gratis på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
@@ -222,7 +223,6 @@ Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspoliti
- MiniMax M2.5 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
- MiMo V2 Pro Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
- MiMo V2 Omni Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
- Qwen3.6 Plus Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
- Nemotron 3 Super Free (gratis NVIDIA-endpoints): Leveres under [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Kun til prøvebrug, ikke til produktion eller følsomme data. Prompts og outputs logges af NVIDIA for at forbedre deres modeller og tjenester. Indsend ikke personlige eller fortrolige data.
- OpenAI APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

16
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@@ -61,6 +61,8 @@ Die aktuelle Liste der Modelle umfasst:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
Die Liste der Modelle kann sich ändern, während wir neue testen und hinzufügen.
@@ -79,17 +81,19 @@ Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anza
Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf typischen Go-Nutzungsmustern:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ---------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| Anfragen pro 5 Stunden | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 |
| Anfragen pro Woche | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 |
| Anfragen pro Monat | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ---------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| Anfragen pro 5 Stunden | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 | 3,300 | 10,200 |
| Anfragen pro Woche | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 | 8,200 | 25,200 |
| Anfragen pro Monat | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 | 20,500 | 50,500 |
Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
- GLM-5/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
- Kimi K2.5 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
- MiniMax M2.7/M2.5 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 Input-, 41.000 Cached-, 250 Output-Tokens pro Anfrage
- MiMo-V2-Omni — 1.000 Input-, 60.000 Cached-, 140 Output-Tokens pro Anfrage
@@ -122,6 +126,8 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K2.5 würdest du beispielsweise `opencode-go/kimi-k2.5` in deiner Config verwenden.

8
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@@ -80,6 +80,8 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -88,7 +90,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/<model-id>`. Für GPT 5.3 Codex würdest du zum Beispiel `opencode/gpt-5.3-codex` in deiner Konfiguration verwenden.
@@ -114,7 +115,8 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -162,7 +164,6 @@ Die kostenlosen Modelle:
- MiniMax M2.5 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- MiMo V2 Pro Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- MiMo V2 Omni Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- Qwen3.6 Plus Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- Nemotron 3 Super Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- Big Pickle ist ein Stealth-Modell, das für begrenzte Zeit kostenlos auf OpenCode verfügbar ist. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
@@ -208,7 +209,6 @@ Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zer
- MiniMax M2.5 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
- MiMo V2 Pro Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
- MiMo V2 Omni Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
- Qwen3.6 Plus Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
- Nemotron 3 Super Free (kostenlose NVIDIA-Endpunkte): Bereitgestellt gemäß den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Nur für Testzwecke, nicht für Produktion oder sensible Daten. Eingaben und Ausgaben werden von NVIDIA protokolliert, um seine Modelle und Dienste zu verbessern. Übermitteln Sie keine personenbezogenen oder vertraulichen Daten.
- OpenAI APIs: Anfragen werden in Übereinstimmung mit [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 30 Tage lang gespeichert.
- Anthropic APIs: Anfragen werden in Übereinstimmung mit [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 30 Tage lang gespeichert.

16
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@@ -69,6 +69,8 @@ La lista actual de modelos incluye:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
La lista de modelos puede cambiar a medida que probamos y agregamos otros nuevos.
@@ -87,17 +89,19 @@ Los límites se definen en valor en dólares. Esto significa que tu cantidad rea
La siguiente tabla proporciona una cantidad estimada de peticiones basada en los patrones típicos de uso de Go:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ---------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| peticiones por 5 horas | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| peticiones por semana | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| peticiones por mes | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ---------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------------ | ------------ |
| peticiones por 5 horas | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| peticiones por semana | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| peticiones por mes | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
Las estimaciones se basan en los patrones de peticiones promedio observados:
- GLM-5/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
- Kimi K2.5 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 tokens de entrada, 41,000 en caché, 250 tokens de salida por petición
- MiMo-V2-Omni — 1000 tokens de entrada, 60,000 en caché, 140 tokens de salida por petición
@@ -132,6 +136,8 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
El [ID del modelo](/docs/config/#models) en tu configuración de OpenCode
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K2.5, usarías

8
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@@ -89,6 +89,8 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -97,7 +99,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
El [identificador del modelo](/docs/config/#models) en tu configuración de OpenCode
@@ -125,7 +126,8 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -173,7 +175,6 @@ Los modelos gratuitos:
- MiniMax M2.5 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- MiMo V2 Pro Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- MiMo V2 Omni Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- Qwen3.6 Plus Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- Nemotron 3 Super Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- Big Pickle es un modelo stealth que es gratuito en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
@@ -222,7 +223,6 @@ Todos nuestros modelos están alojados en US. Nuestros proveedores siguen una po
- MiniMax M2.5 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
- MiMo V2 Pro Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
- MiMo V2 Omni Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
- Qwen3.6 Plus Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
- Nemotron 3 Super Free (endpoints gratuitos de NVIDIA): Se ofrece bajo los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Solo para uso de prueba, no para producción ni datos sensibles. NVIDIA registra los prompts y las salidas para mejorar sus modelos y servicios. No envíes datos personales ni confidenciales.
- OpenAI APIs: Las solicitudes se conservan durante 30 días de acuerdo con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Las solicitudes se conservan durante 30 días de acuerdo con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -59,6 +59,8 @@ La liste actuelle des modèles comprend :
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
La liste des modèles peut changer au fur et à mesure que nous en testons et en ajoutons de nouveaux.
@@ -77,17 +79,19 @@ Les limites sont définies en valeur monétaire (dollars). Cela signifie que vot
Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur des modèles d'utilisation typiques de Go :
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| --------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| requêtes par 5 heures | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| requêtes par semaine | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| requêtes par mois | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| --------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| requêtes par 5 heures | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| requêtes par semaine | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| requêtes par mois | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
Les estimations sont basées sur les modèles de requêtes moyens observés :
- GLM-5/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
- Kimi K2.5 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
- MiniMax M2.7/M2.5 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 tokens en entrée, 41,000 en cache, 250 tokens en sortie par requête
- MiMo-V2-Omni — 1000 tokens en entrée, 60,000 en cache, 140 tokens en sortie par requête
@@ -120,6 +124,8 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K2.5, vous utiliseriez `opencode-go/kimi-k2.5` dans votre configuration.

8
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@@ -80,6 +80,8 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -88,7 +90,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/<model-id>`. Par exemple, pour GPT 5.3 Codex, vous utiliseriez `opencode/gpt-5.3-codex` dans votre configuration.
@@ -114,7 +115,8 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -162,7 +164,6 @@ Les modèles gratuits :
- MiniMax M2.5 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- MiMo V2 Pro Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- MiMo V2 Omni Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- Qwen3.6 Plus Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- Nemotron 3 Super Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- Big Pickle est un modèle stealth gratuit sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
@@ -208,7 +209,6 @@ Tous nos modèles sont hébergés aux US. Nos fournisseurs suivent une politique
- MiniMax M2.5 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
- MiMo V2 Pro Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
- MiMo V2 Omni Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
- Qwen3.6 Plus Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
- Nemotron 3 Super Free (endpoints NVIDIA gratuits) : Fourni dans le cadre des [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Réservé à un usage d'essai, pas à la production ni aux données sensibles. Les prompts et les sorties sont journalisés par NVIDIA pour améliorer ses modèles et services. N'envoyez pas de données personnelles ou confidentielles.
- OpenAI APIs : Les requêtes sont conservées pendant 30 jours conformément à [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs : Les requêtes sont conservées pendant 30 jours conformément à [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -70,6 +70,8 @@ The current list of models includes:
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
The list of models may change as we test and add new ones.
@@ -83,15 +85,21 @@ OpenCode Go includes the following limits:
- **Weekly limit** — $30 of usage
- **Monthly limit** — $60 of usage
Limits are defined in dollar value. This means your actual request count depends on the model you use. Cheaper models like MiniMax M2.5 allow for more requests, while higher-cost models like GLM-5.1 allow for fewer.
Limits are defined in dollar value. This means your actual request count depends on the model you use. Cheaper models like Qwen3.5 Plus allow for more requests, while higher-cost models like GLM-5.1 allow for fewer.
The table below provides an estimated request count based on typical Go usage patterns:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| requests per 5 hour | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| requests per week | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| requests per month | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| Model | requests per 5 hour | requests per week | requests per month |
| ------------ | ------------------- | ----------------- | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
Estimates are based on observed average request patterns:
@@ -100,6 +108,8 @@ Estimates are based on observed average request patterns:
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
- MiMo-V2-Pro — 350 input, 41,000 cached, 250 output tokens per request
- MiMo-V2-Omni — 1000 input, 60,000 cached, 140 output tokens per request
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
You can track your current usage in the **<a href={console}>console</a>**.
@@ -132,6 +142,8 @@ You can also access Go models through the following API endpoints.
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
The [model id](/docs/config/#models) in your OpenCode config
uses the format `opencode-go/<model-id>`. For example, for Kimi K2.5, you would

16
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@@ -67,6 +67,8 @@ L'elenco attuale dei modelli include:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
L'elenco dei modelli potrebbe cambiare man mano che ne testiamo e aggiungiamo di nuovi.
@@ -85,17 +87,19 @@ I limiti sono definiti in valore in dollari. Questo significa che il conteggio e
La tabella seguente fornisce una stima del conteggio delle richieste in base a pattern di utilizzo tipici di Go:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| --------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| richieste ogni 5 ore | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 |
| richieste a settimana | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 |
| richieste al mese | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| --------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| richieste ogni 5 ore | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 | 3,300 | 10,200 |
| richieste a settimana | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 | 8,200 | 25,200 |
| richieste al mese | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 | 20,500 | 50,500 |
Le stime si basano sui pattern medi di richieste osservati:
- GLM-5/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
- Kimi K2.5 — 870 di input, 55.000 in cache, 200 token di output per richiesta
- MiniMax M2.7/M2.5 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 di input, 41.000 in cache, 250 token di output per richiesta
- MiMo-V2-Omni — 1000 di input, 60.000 in cache, 140 token di output per richiesta
@@ -130,6 +134,8 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
Il [model id](/docs/config/#models) nella tua OpenCode config
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K2.5, useresti

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@@ -89,6 +89,8 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -97,7 +99,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Il [model id](/docs/config/#models) nella config di OpenCode
@@ -125,7 +126,8 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -173,7 +175,6 @@ I modelli gratuiti:
- MiniMax M2.5 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- MiMo V2 Pro Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- MiMo V2 Omni Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- Qwen3.6 Plus Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- Nemotron 3 Super Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- Big Pickle è un modello stealth che è gratuito su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
@@ -222,7 +223,6 @@ Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una pol
- MiniMax M2.5 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
- MiMo V2 Pro Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
- MiMo V2 Omni Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
- Qwen3.6 Plus Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
- Nemotron 3 Super Free (endpoint NVIDIA gratuiti): fornito secondo i [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Solo per uso di prova, non per produzione o dati sensibili. NVIDIA registra prompt e output per migliorare i propri modelli e servizi. Non inviare dati personali o riservati.
- OpenAI APIs: le richieste vengono conservate per 30 giorni in conformità con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: le richieste vengono conservate per 30 giorni in conformità con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -59,6 +59,8 @@ 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-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
新しいモデルをテストして追加するにつれて、モデルのリストは変更される場合があります。
@@ -77,17 +79,19 @@ OpenCode Goには以下の制限が含まれています：
以下の表は、一般的なGoの利用パターンに基づいた推定リクエスト数を示しています：
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| 5時間あたりのリクエスト数 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| 週間リクエスト数 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| 月間リクエスト数 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ------------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| 5時間あたりのリクエスト数 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| 週間リクエスト数 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| 月間リクエスト数 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
推定値は、観測された平均的なリクエストパターンに基づいています：
- GLM-5/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
- Kimi K2.5 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
- MiniMax M2.7/M2.5 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — リクエストあたり 入力 350トークン、キャッシュ 41,000トークン、出力 250トークン
- MiMo-V2-Omni — リクエストあたり 入力 1000トークン、キャッシュ 60,000トークン、出力 140トークン
@@ -120,6 +124,8 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
OpenCode設定の[model id](/docs/config/#models)は、`opencode-go/<model-id>`という形式を使用します。たとえば、Kimi K2.5の場合は、設定で`opencode-go/kimi-k2.5`を使用します。

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@@ -80,6 +80,8 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -88,7 +90,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/<model-id>` 形式です。たとえば、GPT 5.3 Codex では設定に `opencode/gpt-5.3-codex` を使用します。
@@ -114,7 +115,8 @@ https://opencode.ai/zen/v1/models
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -162,7 +164,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- MiMo V2 Pro Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- MiMo V2 Omni Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- Qwen3.6 Plus Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- Nemotron 3 Super Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- Big Pickle はステルスモデルで、期間限定で OpenCode で無料提供されています。チームはこの期間中にフィードバックを集め、モデルを改善しています。
@@ -208,7 +209,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
- MiMo V2 Pro Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
- MiMo V2 Omni Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
- Qwen3.6 Plus Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
- Nemotron 3 Super Free（NVIDIA の無料エンドポイント）: [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に基づいて提供されます。試用専用であり、本番環境や機密性の高いデータには使用しないでください。プロンプトと出力は、NVIDIA が自社のモデルとサービスを改善するために記録します。個人情報や機密データは送信しないでください。
- OpenAI APIs: リクエストは [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) に従って 30 日間保持されます。
- Anthropic APIs: リクエストは [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) に従って 30 日間保持されます。

16
packages/web/src/content/docs/ko/go.mdx
View File

@@ -59,6 +59,8 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
새로운 모델을 테스트하고 추가함에 따라 이 목록은 변경될 수 있습니다.
@@ -77,17 +79,19 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
아래 표는 일반적인 Go 사용 패턴을 기준으로 한 예상 요청 횟수를 보여줍니다.
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ----------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| 5시간당 요청 횟수 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| 주간 요청 횟수 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| 월간 요청 횟수 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ----------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| 5시간당 요청 횟수 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| 주간 요청 횟수 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| 월간 요청 횟수 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
예상치는 관찰된 평균 요청 패턴을 기준으로 합니다.
- GLM-5/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
- Kimi K2.5 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
- MiniMax M2.7/M2.5 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 요청당 입력 350, 캐시 41,000, 출력 토큰 250
- MiMo-V2-Omni — 요청당 입력 1000, 캐시 60,000, 출력 토큰 140
@@ -120,6 +124,8 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K2.5의 경우 config에서 `opencode-go/kimi-k2.5`를 사용하면 됩니다.

8
packages/web/src/content/docs/ko/zen.mdx
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@@ -80,6 +80,8 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -88,7 +90,6 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode config에서 사용하는 [모델 ID](/docs/config/#models)는 `opencode/<model-id>` 형식입니다. 예를 들어 GPT 5.3 Codex를 사용하려면 config에서 `opencode/gpt-5.3-codex`를 사용하면 됩니다.
@@ -114,7 +115,8 @@ https://opencode.ai/zen/v1/models
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -162,7 +164,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- MiMo V2 Pro Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- MiMo V2 Omni Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- Qwen3.6 Plus Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- Nemotron 3 Super Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- Big Pickle은 한정된 기간 동안 OpenCode에서 무료로 제공되는 stealth model입니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
@@ -208,7 +209,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
- MiMo V2 Pro Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
- MiMo V2 Omni Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
- Qwen3.6 Plus Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
- Nemotron 3 Super Free(NVIDIA 무료 엔드포인트): [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)에 따라 제공됩니다. 평가판 전용이며 프로덕션 환경이나 민감한 데이터에는 사용할 수 없습니다. NVIDIA는 자사 모델과 서비스를 개선하기 위해 프롬프트와 출력을 기록합니다. 개인 정보나 기밀 데이터는 제출하지 마세요.
- OpenAI APIs: 요청은 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data)에 따라 30일 동안 보관됩니다.
- Anthropic APIs: 요청은 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage)에 따라 30일 동안 보관됩니다.

16
packages/web/src/content/docs/nb/go.mdx
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@@ -69,6 +69,8 @@ Den nåværende listen over modeller inkluderer:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
Listen over modeller kan endres etter hvert som vi tester og legger til nye.
@@ -87,17 +89,19 @@ Grensene er definert i dollarverdi. Dette betyr at ditt faktiske antall forespø
Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksmønstre for Go:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------------ | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| forespørsler per 5 timer | 880 | 1 150 | 1 850 | 1 290 | 2 150 | 14 000 | 20 000 |
| forespørsler per uke | 2 150 | 2 880 | 4 630 | 3 225 | 5 450 | 35 000 | 50 000 |
| forespørsler per måned | 4 300 | 5 750 | 9 250 | 6 450 | 10 900 | 70 000 | 100 000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ------------------------ | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| forespørsler per 5 timer | 880 | 1 150 | 1 850 | 1 290 | 2 150 | 14 000 | 20 000 | 3,300 | 10,200 |
| forespørsler per uke | 2 150 | 2 880 | 4 630 | 3 225 | 5 450 | 35 000 | 50 000 | 8,200 | 25,200 |
| forespørsler per måned | 4 300 | 5 750 | 9 250 | 6 450 | 10 900 | 70 000 | 100 000 | 20,500 | 50,500 |
Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
- GLM-5/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
- Kimi K2.5 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
- MiniMax M2.7/M2.5 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 input, 41 000 bufret, 250 output-tokens per forespørsel
- MiMo-V2-Omni — 1000 input, 60 000 bufret, 140 output-tokens per forespørsel
@@ -132,6 +136,8 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[Modell-ID-en](/docs/config/#models) i din OpenCode-konfigurasjon
bruker formatet `opencode-go/<model-id>`. For eksempel, for Kimi K2.5, vil du

8
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@@ -89,6 +89,8 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -97,7 +99,6 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[modell-id](/docs/config/#models) i OpenCode-konfigurasjonen din
@@ -125,7 +126,8 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -173,7 +175,6 @@ Gratis-modellene:
- MiniMax M2.5 Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- MiMo V2 Pro Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- MiMo V2 Omni Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- Qwen3.6 Plus Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- Nemotron 3 Super Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- Big Pickle er en stealth-modell som er gratis på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
@@ -222,7 +223,6 @@ Alle modellene våre hostes i US. Leverandørene våre følger en policy for zer
- MiniMax M2.5 Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
- MiMo V2 Pro Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
- MiMo V2 Omni Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
- Qwen3.6 Plus Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
- Nemotron 3 Super Free (gratis NVIDIA-endepunkter): Leveres under [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Kun for prøvebruk, ikke for produksjon eller sensitive data. Prompter og svar logges av NVIDIA for å forbedre modellene og tjenestene deres. Ikke send inn personopplysninger eller konfidensielle data.
- OpenAI APIs: Forespørsler lagres i 30 dager i samsvar med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Forespørsler lagres i 30 dager i samsvar med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -63,6 +63,8 @@ Obecna lista modeli obejmuje:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
Lista modeli może ulec zmianie w miarę testowania i dodawania nowych.
@@ -81,17 +83,19 @@ Limity są zdefiniowane w wartości w dolarach. Oznacza to, że rzeczywista licz
Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych wzorców korzystania z Go:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| żądania na 5 godzin | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| żądania na tydzień | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| żądania na miesiąc | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| żądania na 5 godzin | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| żądania na tydzień | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| żądania na miesiąc | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
Szacunki opierają się na zaobserwowanych średnich wzorcach żądań:
- GLM-5/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
- Kimi K2.5 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- MiniMax M2.7/M2.5 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 tokenów wejściowych, 41 000 w pamięci podręcznej, 250 tokenów wyjściowych na żądanie
- MiMo-V2-Omni — 1000 tokenów wejściowych, 60 000 w pamięci podręcznej, 140 tokenów wyjściowych na żądanie
@@ -124,6 +128,8 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode
używa formatu `opencode-go/<model-id>`. Na przykład dla Kimi K2.5 należy użyć

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@@ -89,6 +89,8 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -97,7 +99,6 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode używa formatu
@@ -125,7 +126,8 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -174,7 +176,6 @@ Darmowe modele:
- MiniMax M2.5 Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- MiMo V2 Pro Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- MiMo V2 Omni Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- Qwen3.6 Plus Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- Nemotron 3 Super Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- Big Pickle to stealth model, który jest darmowy w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
@@ -223,7 +224,6 @@ Wszystkie nasze modele są hostowane w US. Nasi dostawcy stosują politykę zero
- MiniMax M2.5 Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
- MiMo V2 Pro Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
- MiMo V2 Omni Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
- Qwen3.6 Plus Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
- Nemotron 3 Super Free (darmowe endpointy NVIDIA): Udostępniany zgodnie z [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Tylko do użytku próbnego, nie do produkcji ani danych wrażliwych. NVIDIA rejestruje prompty i odpowiedzi, aby ulepszać swoje modele i usługi. Nie przesyłaj danych osobowych ani poufnych.
- OpenAI APIs: Żądania są przechowywane przez 30 dni zgodnie z [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Żądania są przechowywane przez 30 dni zgodnie z [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -69,6 +69,8 @@ A lista atual de modelos inclui:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
A lista de modelos pode mudar conforme testamos e adicionamos novos.
@@ -87,17 +89,19 @@ Os limites são definidos em valor em dólares. Isso significa que a sua contage
A tabela abaixo fornece uma contagem estimada de requisições com base nos padrões típicos de uso do Go:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ----------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| requisições por 5 horas | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 |
| requisições por semana | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 |
| requisições por mês | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ----------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| requisições por 5 horas | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 | 3,300 | 10,200 |
| requisições por semana | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 | 8,200 | 25,200 |
| requisições por mês | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 | 20,500 | 50,500 |
As estimativas baseiam-se nos padrões médios de requisições observados:
- GLM-5/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
- Kimi K2.5 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 tokens de entrada, 41.000 em cache, 250 tokens de saída por requisição
- MiMo-V2-Omni — 1000 tokens de entrada, 60.000 em cache, 140 tokens de saída por requisição
@@ -132,6 +136,8 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
O [ID do modelo](/docs/config/#models) na sua configuração do OpenCode
usa o formato `opencode-go/<model-id>`. Por exemplo, para o Kimi K2.5, você usaria

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@@ -80,6 +80,8 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -88,7 +90,6 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
O [model id](/docs/config/#models) na sua configuração do OpenCode usa o formato `opencode/<model-id>`. Por exemplo, para GPT 5.3 Codex, você usaria `opencode/gpt-5.3-codex` na sua configuração.
@@ -114,7 +115,8 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -162,7 +164,6 @@ Os modelos gratuitos:
- MiniMax M2.5 Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- MiMo V2 Pro Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- MiMo V2 Omni Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- Qwen3.6 Plus Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- Nemotron 3 Super Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- Big Pickle é um modelo stealth que está gratuito no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
@@ -208,7 +209,6 @@ Todos os nossos modelos são hospedados nos US. Nossos provedores seguem uma pol
- MiniMax M2.5 Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
- MiMo V2 Pro Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
- MiMo V2 Omni Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
- Qwen3.6 Plus Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
- Nemotron 3 Super Free (endpoints gratuitos da NVIDIA): Fornecido sob os [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Apenas para uso de avaliação, não para produção nem dados sensíveis. A NVIDIA registra prompts e saídas para melhorar seus modelos e serviços. Não envie dados pessoais ou confidenciais.
- OpenAI APIs: As solicitações são retidas por 30 dias de acordo com [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: As solicitações são retidas por 30 dias de acordo com [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

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@@ -69,6 +69,8 @@ OpenCode Go работает так же, как и любой другой пр
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
Список моделей может меняться по мере того, как мы тестируем и добавляем новые.
@@ -87,17 +89,19 @@ OpenCode Go включает следующие лимиты:
В таблице ниже приведено примерное количество запросов на основе типичных сценариев использования Go:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| запросов за 5 часов | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| запросов в неделю | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| запросов в месяц | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| запросов за 5 часов | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| запросов в неделю | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| запросов в месяц | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
Оценки основаны на наблюдаемых средних показателях запросов:
- GLM-5/5.1 — 700 входных, 52,000 кешированных, 150 выходных токенов на запрос
- Kimi K2.5 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
- MiniMax M2.7/M2.5 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 входных, 41,000 кешированных, 250 выходных токенов на запрос
- MiMo-V2-Omni — 1000 входных, 60,000 кешированных, 140 выходных токенов на запрос
@@ -132,6 +136,8 @@ OpenCode Go включает следующие лимиты:
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[ID модели](/docs/config/#models) в вашем конфиге OpenCode
использует формат `opencode-go/<model-id>`. Например, для Kimi K2.5 вам нужно

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@@ -89,6 +89,8 @@ OpenCode Zen работает как любой другой провайдер
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -97,7 +99,6 @@ OpenCode Zen работает как любой другой провайдер
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[идентификатор модели](/docs/config/#models) в вашей конфигурации OpenCode
@@ -125,7 +126,8 @@ https://opencode.ai/zen/v1/models
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -173,7 +175,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- MiMo V2 Pro Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- MiMo V2 Omni Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- Qwen3.6 Plus Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- Nemotron 3 Super Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- Big Pickle — это скрытая модель, которая доступна бесплатно в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
@@ -222,7 +223,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
- MiMo V2 Pro Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
- MiMo V2 Omni Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
- Qwen3.6 Plus Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
- Nemotron 3 Super Free (бесплатные эндпоинты NVIDIA): предоставляется в соответствии с [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Только для пробного использования, не для продакшена и не для чувствительных данных. NVIDIA логирует запросы и ответы, чтобы улучшать свои модели и сервисы. Не отправляйте персональные или конфиденциальные данные.
- OpenAI APIs: запросы хранятся 30 дней в соответствии с [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: запросы хранятся 30 дней в соответствии с [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

16
packages/web/src/content/docs/th/go.mdx
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@@ -59,6 +59,8 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
รายชื่อโมเดลอาจมีการเปลี่ยนแปลงเมื่อเราทำการทดสอบและเพิ่มโมเดลใหม่ๆ
@@ -77,17 +79,19 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
ตารางด้านล่างแสดงจำนวน request โดยประมาณตามรูปแบบการใช้งานปกติของ Go:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ---------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| requests ต่อ 5 ชั่วโมง | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| requests ต่อสัปดาห์ | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| requests ต่อเดือน | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ---------------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| requests ต่อ 5 ชั่วโมง | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| requests ต่อสัปดาห์ | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| requests ต่อเดือน | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
การประมาณการอ้างอิงจากรูปแบบการใช้งาน request โดยเฉลี่ยที่สังเกตพบ:
- GLM-5/5.1 — 700 input, 52,000 cached, 150 output tokens ต่อ request
- Kimi K2.5 — 870 input, 55,000 cached, 200 output tokens ต่อ request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 350 input, 41,000 cached, 250 output tokens ต่อ request
- MiMo-V2-Omni — 1000 input, 60,000 cached, 140 output tokens ต่อ request
@@ -120,6 +124,8 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณจะใช้รูปแบบ `opencode-go/<model-id>` ตัวอย่างเช่น สำหรับ Kimi K2.5 คุณจะใช้ `opencode-go/kimi-k2.5` ใน config ของคุณ

8
packages/web/src/content/docs/th/zen.mdx
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@@ -82,6 +82,8 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -90,7 +92,6 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณใช้รูปแบบ `opencode/<model-id>` ตัวอย่างเช่น สำหรับ GPT 5.3 Codex คุณจะใช้ `opencode/gpt-5.3-codex` ใน config ของคุณ
@@ -116,7 +117,8 @@ https://opencode.ai/zen/v1/models
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -164,7 +166,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- MiMo V2 Pro Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- MiMo V2 Omni Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- Qwen3.6 Plus Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- Nemotron 3 Super Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- Big Pickle เป็น stealth model ที่ใช้งานฟรีบน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
@@ -210,7 +211,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
- MiMo V2 Pro Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
- MiMo V2 Omni Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
- Qwen3.6 Plus Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
- Nemotron 3 Super Free (endpoint ฟรีของ NVIDIA): ให้บริการภายใต้ [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) ใช้สำหรับการทดลองเท่านั้น ไม่เหมาะสำหรับ production หรือข้อมูลที่อ่อนไหว NVIDIA จะบันทึก prompt และ output เพื่อนำไปปรับปรุงโมเดลและบริการของตน โปรดอย่าส่งข้อมูลส่วนบุคคลหรือข้อมูลลับ.
- OpenAI APIs: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

16
packages/web/src/content/docs/tr/go.mdx
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@@ -59,6 +59,8 @@ Mevcut model listesi şunları içerir:
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
Test edip yenilerini ekledikçe model listesi değişebilir.
@@ -77,17 +79,19 @@ Limitler dolar değeri üzerinden belirlenmiştir. Bu, gerçek istek sayınızı
Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek sayısı sunmaktadır:
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| ------------------ | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| 5 saatte bir istek | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 |
| haftalık istek | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 |
| aylık istek | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| ------------------ | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| 5 saatte bir istek | 880 | 1.150 | 1.850 | 1.290 | 2.150 | 14.000 | 20.000 | 3,300 | 10,200 |
| haftalık istek | 2.150 | 2.880 | 4.630 | 3.225 | 5.450 | 35.000 | 50.000 | 8,200 | 25,200 |
| aylık istek | 4.300 | 5.750 | 9.250 | 6.450 | 10.900 | 70.000 | 100.000 | 20,500 | 50,500 |
Tahminler, gözlemlenen ortalama istek modellerine dayanmaktadır:
- GLM-5/5.1 — İstek başına 700 girdi, 52.000 önbelleğe alınmış, 150 çıktı token'ı
- Kimi K2.5 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
- MiniMax M2.7/M2.5 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — İstek başına 350 girdi, 41.000 önbelleğe alınmış, 250 çıktı token'ı
- MiMo-V2-Omni — İstek başına 1000 girdi, 60.000 önbelleğe alınmış, 140 çıktı token'ı
@@ -120,6 +124,8 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) formatı `opencode-go/<model-id>` şeklindedir. Örneğin, Kimi K2.5 için yapılandırmanızda `opencode-go/kimi-k2.5` kullanmalısınız.

8
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@@ -80,6 +80,8 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -88,7 +90,6 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) `opencode/<model-id>` biçimini kullanır. Örneğin, GPT 5.3 Codex için yapılandırmanızda `opencode/gpt-5.3-codex` kullanırsınız.
@@ -114,7 +115,8 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -162,7 +164,6 @@ Kredi kartı ücretleri maliyet üzerinden yansıtılır (%4.4 + işlem başına
- MiniMax M2.5 Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- MiMo V2 Pro Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- MiMo V2 Omni Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- Qwen3.6 Plus Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- Nemotron 3 Super Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- Big Pickle, sınırlı bir süre için OpenCode'da ücretsiz olan gizli bir modeldir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
@@ -208,7 +209,6 @@ Tüm modellerimiz US'de barındırılıyor. Sağlayıcılarımız zero-retention
- MiniMax M2.5 Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
- MiMo V2 Pro Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
- MiMo V2 Omni Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
- Qwen3.6 Plus Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
- Nemotron 3 Super Free (ücretsiz NVIDIA uç noktaları): [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) kapsamında sunulur. Yalnızca deneme amaçlıdır; üretim veya hassas veriler için uygun değildir. NVIDIA, modellerini ve hizmetlerini geliştirmek için promptları ve çıktıları kaydeder. Kişisel veya gizli veri göndermeyin.
- OpenAI APIs: İstekler [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) uyarınca 30 gün boyunca saklanır.
- Anthropic APIs: İstekler [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) uyarınca 30 gün boyunca saklanır.

9
packages/web/src/content/docs/zen.mdx
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@@ -89,13 +89,14 @@ You can also access our models through the following API endpoints.
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
The [model id](/docs/config/#models) in your OpenCode config
@@ -121,14 +122,14 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
| Model | Input | Output | Cached Read | Cached Write |
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| GLM 5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Claude Opus 4.6 | $5.00 | $25.00 | $0.50 | $6.25 |
| Claude Opus 4.5 | $5.00 | $25.00 | $0.50 | $6.25 |
| Claude Opus 4.1 | $15.00 | $75.00 | $1.50 | $18.75 |
@@ -167,7 +168,6 @@ Credit card fees are passed along at cost (4.4% + $0.30 per transaction); we don
The free models:
- MiniMax M2.5 Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
- Qwen3.6 Plus Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
- Nemotron 3 Super Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
- Big Pickle is a stealth model that's free on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
@@ -214,7 +214,6 @@ All our models are hosted in the US. Our providers follow a zero-retention polic
- Big Pickle: During its free period, collected data may be used to improve the model.
- MiniMax M2.5 Free: During its free period, collected data may be used to improve the model.
- Qwen3.6 Plus Free: During its free period, collected data may be used to improve the model.
- Nemotron 3 Super Free (NVIDIA free endpoints): Provided under the [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Trial use only — not for production or sensitive data. Prompts and outputs are logged by NVIDIA to improve its models and services. Do not submit personal or confidential data.
- OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).

16
packages/web/src/content/docs/zh-cn/go.mdx
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@@ -59,6 +59,8 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
随着我们进行测试和添加新模型，该列表可能会发生变化。
@@ -77,11 +79,11 @@ OpenCode Go 包含以下限制：
下表提供了基于典型 Go 使用模式的预估请求数：
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| --------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| 每 5 小时请求数 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| 每周请求数 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| 每月请求数 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| --------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| 每 5 小时请求数 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| 每周请求数 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| 每月请求数 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
预估值基于观察到的平均请求模式：
@@ -90,6 +92,8 @@ OpenCode Go 包含以下限制：
- MiMo-V2-Pro — 每次请求 350 个输入 token，41,000 个缓存 token，250 个输出 token
- MiMo-V2-Omni — 每次请求 1000 个输入 token，60,000 个缓存 token，140 个输出 token
- MiniMax M2.7/M2.5 — 每次请求 300 个输入 token，55,000 个缓存 token，125 个输出 token
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
你可以在 **<a href={console}>控制台</a>** 中跟踪你当前的使用情况。
@@ -120,6 +124,8 @@ OpenCode Go 包含以下限制：
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
你 OpenCode 配置中的 [模型 ID](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，对于 Kimi K2.5，你将在配置中使用 `opencode-go/kimi-k2.5`。

8
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@@ -80,6 +80,8 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -88,7 +90,6 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
在你的 OpenCode 配置中，[模型 ID](/docs/config/#models) 使用 `opencode/<model-id>` 格式。例如，对于 GPT 5.3 Codex，你需要在配置中使用 `opencode/gpt-5.3-codex`。
@@ -114,7 +115,8 @@ https://opencode.ai/zen/v1/models
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -162,7 +164,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- MiMo V2 Pro Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- MiMo V2 Omni Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- Qwen3.6 Plus Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- Nemotron 3 Super Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- Big Pickle 是一个隐身模型，目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
@@ -208,7 +209,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free：在免费期间，收集的数据可能会被用于改进模型。
- MiMo V2 Pro Free：在免费期间，收集的数据可能会被用于改进模型。
- MiMo V2 Omni Free：在免费期间，收集的数据可能会被用于改进模型。
- Qwen3.6 Plus Free：在免费期间，收集的数据可能会被用于改进模型。
- Nemotron 3 Super Free（NVIDIA 免费端点）：根据 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) 提供。仅供试用，不适用于生产环境或敏感数据。NVIDIA 会记录提示词和输出内容，以改进其模型和服务。请勿提交个人或机密数据。
- OpenAI APIs：请求会根据 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 保留 30 天。
- Anthropic APIs：请求会根据 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 保留 30 天。

16
packages/web/src/content/docs/zh-tw/go.mdx
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@@ -59,6 +59,8 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
隨著我們測試並加入新模型，模型清單可能會有所變動。
@@ -77,17 +79,19 @@ OpenCode Go 包含以下限制：
下表提供了基於典型 Go 使用模式的預估請求次數：
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 |
| --------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ |
| 每 5 小時請求數 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 |
| 每週請求數 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 |
| 每月請求數 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 |
| | GLM-5.1 | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | Qwen3.6 Plus | Qwen3.5 Plus |
| --------------- | ------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | ------- | ------- |
| 每 5 小時請求數 | 880 | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | 3,300 | 10,200 |
| 每週請求數 | 2,150 | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | 8,200 | 25,200 |
| 每月請求數 | 4,300 | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | 20,500 | 50,500 |
預估值是基於觀察到的平均請求模式：
- GLM-5/5.1 — 每次請求 700 個輸入 token、52,000 個快取 token、150 個輸出 token
- Kimi K2.5 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
- MiniMax M2.7/M2.5 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- MiMo-V2-Pro — 每次請求 350 個輸入 token、41,000 個快取 token、250 個輸出 token
- MiMo-V2-Omni — 每次請求 1000 個輸入 token、60,000 個快取 token、140 個輸出 token
@@ -120,6 +124,8 @@ OpenCode Go 包含以下限制：
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
您的 OpenCode 設定中的 [model id](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，Kimi K2.5 在設定中應使用 `opencode-go/kimi-k2.5`。

8
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@@ -84,6 +84,8 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/alibaba` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -92,7 +94,6 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Pro Free | mimo-v2-pro-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo V2 Omni Free | mimo-v2-omni-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Qwen3.6 Plus Free | qwen3.6-plus-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定中的 [模型 ID](/docs/config/#models) 會使用 `opencode/<model-id>`
@@ -119,7 +120,8 @@ https://opencode.ai/zen/v1/models
| Big Pickle | Free | Free | Free | - |
| MiMo V2 Pro Free | Free | Free | Free | - |
| MiMo V2 Omni Free | Free | Free | Free | - |
| Qwen3.6 Plus Free | Free | Free | Free | - |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.5 Free | Free | Free | Free | - |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -168,7 +170,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- MiMo V2 Pro Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- MiMo V2 Omni Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- Qwen3.6 Plus Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- Nemotron 3 Super Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- Big Pickle 是一個隱身模型，在 OpenCode 上限時免費提供。團隊正在利用這段時間收集回饋並改進模型。
@@ -215,7 +216,6 @@ https://opencode.ai/zen/v1/models
- MiniMax M2.5 Free: 在免費期間，收集到的資料可能會用於改進模型。
- MiMo V2 Pro Free: 在免費期間，收集到的資料可能會用於改進模型。
- MiMo V2 Omni Free: 在免費期間，收集到的資料可能會用於改進模型。
- Qwen3.6 Plus Free: 在免費期間，收集到的資料可能會用於改進模型。
- Nemotron 3 Super Free（NVIDIA 免費端點）：依據 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) 提供。僅供試用，不適用於正式環境或敏感資料。NVIDIA 會記錄提示詞與輸出內容，以改進其模型與服務。請勿提交個人或機密資料。
- OpenAI APIs: 請求會依據 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 保留 30 天。
- Anthropic APIs: 請求會依據 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 保留 30 天。