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go: kimi 2.7 code

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2026-06-12 15:57:13 -04:00
parent 6c36b585c3
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24
packages/web/src/content/docs/ar/go.mdx
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@@ -49,18 +49,17 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
تشمل قائمة النماذج الحالية:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -84,13 +83,12 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| ----------------- | ------------------- | ------------------ | ---------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,11 +98,11 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
تستند التقديرات إلى متوسط أنماط الطلبات المرصودة:
- GLM-5/5.1 — ‏700 input، و52,000 cached، و150 output tokens لكل طلب
- Kimi K2.5/K2.6 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
- Kimi K2.7/K2.6 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
- DeepSeek V4 Pro — ‏750 input، و82,000 cached، و290 output tokens لكل طلب
- DeepSeek V4 Flash — ‏790 input، و68,000 cached، و280 output tokens لكل طلب
- MiniMax M3 — ‏510 input، و56,000 cached، و190 output tokens لكل طلب
- MiniMax M2.7/M2.5 — ‏300 input، و55,000 cached، و125 output tokens لكل طلب
- MiniMax M2.7 — ‏300 input، و55,000 cached، و125 output tokens لكل طلب
- Qwen3.7 Max — ‏420 input، و66,000 cached، و200 output tokens لكل طلب
- Qwen3.7 Plus — ‏500 input، و57,000 cached، و190 output tokens لكل طلب
- Qwen3.6 Plus — ‏500 input، و57,000 cached، و190 output tokens لكل طلب
@@ -117,8 +115,8 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| ---------------------------- | ------- | ------- | --------------- | --------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K2.6، ستستخدم `opencode-go/kimi-k2.6` في إعداداتك.
يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K2.7 Code، ستستخدم `opencode-go/kimi-k2.7-code` في إعداداتك.
---

26
packages/web/src/content/docs/bs/go.mdx
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@@ -59,18 +59,17 @@ Samo jedan član po radnom prostoru (workspace) može se pretplatiti na OpenCode
Trenutna lista modela uključuje:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -94,13 +93,12 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
| ----------------- | ------------------ | ----------------- | ----------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,11 +108,11 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
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/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
- Kimi K2.7/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
- DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
- MiniMax M2.7/M2.5 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- MiniMax M2.7 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- Qwen3.7 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
- Qwen3.7 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
- Qwen3.6 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
@@ -127,8 +125,8 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -168,7 +166,7 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -182,8 +180,8 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
[Model id](/docs/config/#models) u vašoj OpenCode konfiguraciji
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K2.6, koristili biste
`opencode-go/kimi-k2.6` u svojoj konfiguraciji.
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K2.7 Code, koristili biste
`opencode-go/kimi-k2.7-code` u svojoj konfiguraciji.
---

26
packages/web/src/content/docs/da/go.mdx
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@@ -59,18 +59,17 @@ Kun ét medlem per arbejdsområde kan abonnere på OpenCode Go.
Den nuværende liste over modeller inkluderer:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -94,13 +93,12 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
| ----------------- | ----------------------- | ------------------- | --------------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,11 +108,11 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
- GLM-5/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
- Kimi K2.5/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
- Kimi K2.7/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
- DeepSeek V4 Pro — 750 input, 82.000 cachelagrede, 290 output-tokens pr. anmodning
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
- MiniMax M2.7/M2.5 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- MiniMax M2.7 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- Qwen3.7 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
- Qwen3.7 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
- Qwen3.6 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
@@ -127,8 +125,8 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -168,7 +166,7 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -182,8 +180,8 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
Dit [model id](/docs/config/#models) i din OpenCode config
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K2.6, vil du
bruge `opencode-go/kimi-k2.6` i din config.
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K2.7 Code, vil du
bruge `opencode-go/kimi-k2.7-code` i din config.
---

24
packages/web/src/content/docs/de/go.mdx
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@@ -51,18 +51,17 @@ Nur ein Mitglied pro Workspace kann OpenCode Go abonnieren.
Die aktuelle Liste der Modelle umfasst:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -86,13 +85,12 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
| ----------------- | ---------------------- | ------------------ | ------------------ |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -102,11 +100,11 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
- GLM-5/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
- Kimi K2.5/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
- Kimi K2.7/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
- DeepSeek V4 Pro — 750 Input-, 82.000 Cached-, 290 Output-Tokens pro Anfrage
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
- MiniMax M2.7/M2.5 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- MiniMax M2.7 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- Qwen3.7 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
- Qwen3.7 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
- Qwen3.6 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
@@ -119,8 +117,8 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -158,7 +156,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -171,7 +169,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K2.6 würdest du beispielsweise `opencode-go/kimi-k2.6` in deiner Config verwenden.
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K2.7 Code würdest du beispielsweise `opencode-go/kimi-k2.7-code` in deiner Config verwenden.
---

26
packages/web/src/content/docs/es/go.mdx
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@@ -59,18 +59,17 @@ Solo un miembro por espacio de trabajo puede suscribirse a OpenCode Go.
La lista actual de modelos incluye:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -94,13 +93,12 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
| ----------------- | ---------------------- | --------------------- | ------------------ |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,11 +108,11 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
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/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
- Kimi K2.7/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
- DeepSeek V4 Pro — 750 tokens de entrada, 82,000 en caché, 290 tokens de salida por petición
- DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
- MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- MiniMax M2.7 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- Qwen3.7 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
- Qwen3.7 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
- Qwen3.6 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
@@ -127,8 +125,8 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens:
| ---------------------------- | ------- | ------ | ---------------- | ------------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -168,7 +166,7 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -182,8 +180,8 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
El [ID del modelo](/docs/config/#models) en tu configuración de OpenCode
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K2.6, usarías
`opencode-go/kimi-k2.6` en tu configuración.
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K2.7 Code, usarías
`opencode-go/kimi-k2.7-code` en tu configuración.
---

24
packages/web/src/content/docs/fr/go.mdx
View File

@@ -49,18 +49,17 @@ Un seul membre par espace de travail peut s'abonner à OpenCode Go.
La liste actuelle des modèles comprend :
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -84,13 +83,12 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
| ----------------- | --------------------- | -------------------- | ----------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,11 +98,11 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
Les estimations sont basées sur les schémas 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/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
- Kimi K2.7/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
- DeepSeek V4 Pro — 750 tokens en entrée, 82,000 en cache, 290 tokens en sortie par requête
- DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
- MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
- MiniMax M2.7/M2.5 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- MiniMax M2.7 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- Qwen3.7 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
- Qwen3.7 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
- Qwen3.6 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
@@ -117,8 +115,8 @@ Les estimations sont également basées sur les prix suivants par 1M tokens :
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K2.6, vous utiliseriez `opencode-go/kimi-k2.6` dans votre configuration.
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K2.7 Code, vous utiliseriez `opencode-go/kimi-k2.7-code` dans votre configuration.
---

26
packages/web/src/content/docs/go.mdx
View File

@@ -59,18 +59,17 @@ Only one member per workspace can subscribe to OpenCode Go.
The current list of models includes:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -94,13 +93,12 @@ The table below provides an estimated request count based on typical Go usage pa
| ----------------- | ------------------- | ----------------- | ------------------ |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,11 +108,11 @@ The table below provides an estimated request count based on typical Go usage pa
The estimates are based on observed average request patterns:
- GLM-5/5.1 — 700 input, 52,000 cached, 150 output tokens per request
- Kimi K2.5/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
- Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens per request
@@ -127,8 +125,8 @@ The estimates are also based on the following prices per 1M tokens:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -168,7 +166,7 @@ You can also access Go models through the following API endpoints.
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -182,8 +180,8 @@ You can also access Go models through the following API endpoints.
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
The [model id](/docs/config/#models) in your OpenCode config
uses the format `opencode-go/<model-id>`. For example, for Kimi K2.6, you would
use `opencode-go/kimi-k2.6` in your config.
uses the format `opencode-go/<model-id>`. For example, for Kimi K2.7 Code, you would
use `opencode-go/kimi-k2.7-code` in your config.
---

26
packages/web/src/content/docs/it/go.mdx
View File

@@ -57,18 +57,17 @@ Solo un membro per workspace può abbonarsi a OpenCode Go.
L'elenco attuale dei modelli include:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -92,13 +91,12 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
| ----------------- | -------------------- | --------------------- | ----------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -108,11 +106,11 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
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/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
- Kimi K2.7/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
- DeepSeek V4 Pro — 750 di input, 82.000 in cache, 290 token di output per richiesta
- DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
- MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
- MiniMax M2.7/M2.5 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- MiniMax M2.7 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- Qwen3.7 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
- Qwen3.7 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
- Qwen3.6 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
@@ -125,8 +123,8 @@ Le stime si basano anche sui seguenti prezzi per 1M token:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -166,7 +164,7 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -180,8 +178,8 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
Il [model id](/docs/config/#models) nella tua OpenCode config
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K2.6, useresti
`opencode-go/kimi-k2.6` nella tua configurazione.
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K2.7 Code, useresti
`opencode-go/kimi-k2.7-code` nella tua configurazione.
---

24
packages/web/src/content/docs/ja/go.mdx
View File

@@ -49,18 +49,17 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
現在のモデルリストには以下が含まれます：
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -84,13 +83,12 @@ OpenCode Goには以下の制限が含まれています：
| ----------------- | ------------------------- | ---------------- | ---------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,11 +98,11 @@ OpenCode Goには以下の制限が含まれています：
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/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
- Kimi K2.7/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
- DeepSeek V4 Pro — リクエストあたり 入力 750トークン、キャッシュ 82,000トークン、出力 290トークン
- DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
- MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
- MiniMax M2.7/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
- MiniMax M2.7 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
- Qwen3.7 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
- Qwen3.7 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
- Qwen3.6 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
@@ -117,8 +115,8 @@ OpenCode Goには以下の制限が含まれています：
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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 K2.6の場合は、設定で`opencode-go/kimi-k2.6`を使用します。
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 K2.7 Codeの場合は、設定で`opencode-go/kimi-k2.7-code`を使用します。
---

24
packages/web/src/content/docs/ko/go.mdx
View File

@@ -49,18 +49,17 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
현재 모델 목록에는 다음이 포함됩니다.
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -84,13 +83,12 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| ----------------- | ----------------- | -------------- | -------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,11 +98,11 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
이 예상치는 관찰된 평균 요청 패턴을 기준으로 합니다.
- GLM-5/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
- Kimi K2.5/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
- Kimi K2.7/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
- DeepSeek V4 Pro — 요청당 입력 750, 캐시 82,000, 출력 토큰 290
- DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
- MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
- MiniMax M2.7/M2.5 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- MiniMax M2.7 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.7 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
@@ -117,8 +115,8 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K2.6의 경우 config에서 `opencode-go/kimi-k2.6`를 사용하면 됩니다.
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K2.7 Code의 경우 config에서 `opencode-go/kimi-k2.7-code`를 사용하면 됩니다.
---

26
packages/web/src/content/docs/nb/go.mdx
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@@ -59,18 +59,17 @@ Kun ett medlem per arbeidsområde kan abonnere på OpenCode Go.
Den nåværende listen over modeller inkluderer:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -94,13 +93,12 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
| ----------------- | ------------------------ | -------------------- | ---------------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,11 +108,11 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
- GLM-5/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
- Kimi K2.5/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
- Kimi K2.7/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
- DeepSeek V4 Pro — 750 input, 82 000 bufret, 290 output-tokens per forespørsel
- DeepSeek V4 Flash — 790 input, 68 000 bufret, 280 output-tokens per forespørsel
- MiniMax M3 — 510 input, 56 000 bufret, 190 output-tokens per forespørsel
- MiniMax M2.7/M2.5 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- MiniMax M2.7 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- Qwen3.7 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
- Qwen3.7 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
- Qwen3.6 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
@@ -127,8 +125,8 @@ Estimatene er også basert på følgende priser per 1M tokens:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -168,7 +166,7 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -182,8 +180,8 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
[Modell-ID-en](/docs/config/#models) i din OpenCode-konfigurasjon
bruker formatet `opencode-go/<model-id>`. For eksempel, for Kimi K2.6, vil du
bruke `opencode-go/kimi-k2.6` i konfigurasjonen din.
bruker formatet `opencode-go/<model-id>`. For eksempel, for Kimi K2.7 Code, vil du
bruke `opencode-go/kimi-k2.7-code` i konfigurasjonen din.
---

26
packages/web/src/content/docs/pl/go.mdx
View File

@@ -53,18 +53,17 @@ Tylko jeden członek na obszar roboczy (workspace) może zasubskrybować OpenCod
Obecna lista modeli obejmuje:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,13 +87,12 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
| ----------------- | ------------------- | ------------------ | ------------------ |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -104,11 +102,11 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
Szacunki te 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/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Kimi K2.7/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- DeepSeek V4 Pro — 750 tokenów wejściowych, 82 000 w pamięci podręcznej, 290 tokenów wyjściowych na żądanie
- DeepSeek V4 Flash — 790 tokenów wejściowych, 68 000 w pamięci podręcznej, 280 tokenów wyjściowych na żądanie
- MiniMax M3 — 510 tokenów wejściowych, 56 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
- MiniMax M2.7/M2.5 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- MiniMax M2.7 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- Qwen3.7 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Qwen3.7 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
- Qwen3.6 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
@@ -121,8 +119,8 @@ Szacunki opierają się również na następujących cenach za 1M tokenów:
| ---------------------------- | ------- | ------- | -------------- | -------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -160,7 +158,7 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -174,8 +172,8 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode
używa formatu `opencode-go/<model-id>`. Na przykład dla Kimi K2.6 należy użyć
`opencode-go/kimi-k2.6` w swojej konfiguracji.
używa formatu `opencode-go/<model-id>`. Na przykład dla Kimi K2.7 Code należy użyć
`opencode-go/kimi-k2.7-code` w swojej konfiguracji.
---

26
packages/web/src/content/docs/pt-br/go.mdx
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@@ -59,18 +59,17 @@ Apenas um membro por workspace pode assinar o OpenCode Go.
A lista atual de modelos inclui:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -94,13 +93,12 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
| ----------------- | ----------------------- | ---------------------- | ------------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,11 +108,11 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
As estimativas se baseiam 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/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
- Kimi K2.7/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
- DeepSeek V4 Pro — 750 tokens de entrada, 82.000 em cache, 290 tokens de saída por requisição
- DeepSeek V4 Flash — 790 tokens de entrada, 68.000 em cache, 280 tokens de saída por requisição
- MiniMax M3 — 510 tokens de entrada, 56.000 em cache, 190 tokens de saída por requisição
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- MiniMax M2.7 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- Qwen3.7 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
- Qwen3.7 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
- Qwen3.6 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
@@ -127,8 +125,8 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens:
| ---------------------------- | ------- | ----- | ---------------- | ---------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -168,7 +166,7 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -182,8 +180,8 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
O [ID do modelo](/docs/config/#models) na sua configuração do OpenCode
usa o formato `opencode-go/<model-id>`. Por exemplo, para o Kimi K2.6, você usaria
`opencode-go/kimi-k2.6` na sua configuração.
usa o formato `opencode-go/<model-id>`. Por exemplo, para o Kimi K2.7 Code, você usaria
`opencode-go/kimi-k2.7-code` na sua configuração.
---

26
packages/web/src/content/docs/ru/go.mdx
View File

@@ -59,18 +59,17 @@ OpenCode Go работает так же, как и любой другой пр
Текущий список моделей включает:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -94,13 +93,12 @@ OpenCode Go включает следующие лимиты:
| ----------------- | ------------------- | ----------------- | ---------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,11 +108,11 @@ OpenCode Go включает следующие лимиты:
Эти оценки основаны на наблюдаемых средних показателях запросов:
- GLM-5/5.1 — 700 входных, 52,000 кешированных, 150 выходных токенов на запрос
- Kimi K2.5/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
- Kimi K2.7/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
- DeepSeek V4 Pro — 750 входных, 82,000 кешированных, 290 выходных токенов на запрос
- DeepSeek V4 Flash — 790 входных, 68,000 кешированных, 280 выходных токенов на запрос
- MiniMax M3 — 510 входных, 56,000 кешированных, 190 выходных токенов на запрос
- MiniMax M2.7/M2.5 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- MiniMax M2.7 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- Qwen3.7 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
- Qwen3.7 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
- Qwen3.6 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
@@ -127,8 +125,8 @@ OpenCode Go включает следующие лимиты:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -168,7 +166,7 @@ OpenCode Go включает следующие лимиты:
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -182,8 +180,8 @@ OpenCode Go включает следующие лимиты:
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
[ID модели](/docs/config/#models) в вашем конфиге OpenCode
использует формат `opencode-go/<model-id>`. Например, для Kimi K2.6 вам нужно
использовать `opencode-go/kimi-k2.6` в вашем конфиге.
использует формат `opencode-go/<model-id>`. Например, для Kimi K2.7 Code вам нужно
использовать `opencode-go/kimi-k2.7-code` в вашем конфиге.
---

24
packages/web/src/content/docs/th/go.mdx
View File

@@ -49,18 +49,17 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
รายชื่อโมเดลในปัจจุบันประกอบด้วย:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -84,13 +83,12 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| ----------------- | ---------------------- | ------------------- | ----------------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,11 +98,11 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
การประมาณการนี้อ้างอิงจากรูปแบบการใช้งาน request โดยเฉลี่ยที่สังเกตพบ:
- GLM-5/5.1 — 700 input, 52,000 cached, 150 output tokens ต่อ request
- Kimi K2.5/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
- Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens ต่อ request
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens ต่อ request
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens ต่อ request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
@@ -117,8 +115,8 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณจะใช้รูปแบบ `opencode-go/<model-id>` ตัวอย่างเช่น สำหรับ Kimi K2.6 คุณจะใช้ `opencode-go/kimi-k2.6` ใน config ของคุณ
[model id](/docs/config/#models) ใน OpenCode config ของคุณจะใช้รูปแบบ `opencode-go/<model-id>` ตัวอย่างเช่น สำหรับ Kimi K2.7 Code คุณจะใช้ `opencode-go/kimi-k2.7-code` ใน config ของคุณ
---

24
packages/web/src/content/docs/tr/go.mdx
View File

@@ -49,18 +49,17 @@ Her çalışma alanından yalnızca bir üye OpenCode Go'ya abone olabilir.
Mevcut model listesi şunları içerir:
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -84,13 +83,12 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
| ----------------- | ------------------ | -------------- | ----------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,11 +98,11 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
Tahminler, gözlemlenen ortalama istek modellerine dayanır:
- GLM-5/5.1 — İstek başına 700 girdi, 52.000 önbelleğe alınmış, 150 çıktı token'ı
- Kimi K2.5/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
- Kimi K2.7/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
- DeepSeek V4 Pro — İstek başına 750 girdi, 82.000 önbelleğe alınmış, 290 çıktı token'ı
- DeepSeek V4 Flash — İstek başına 790 girdi, 68.000 önbelleğe alınmış, 280 çıktı token'ı
- MiniMax M3 — İstek başına 510 girdi, 56.000 önbelleğe alınmış, 190 çıktı token'ı
- MiniMax M2.7/M2.5 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- MiniMax M2.7 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- Qwen3.7 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
- Qwen3.7 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
- Qwen3.6 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
@@ -117,8 +115,8 @@ Tahminler ayrıca 1M token başına aşağıdaki fiyatlara da dayanır:
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) formatı `opencode-go/<model-id>` şeklindedir. Örneğin, Kimi K2.6 için yapılandırmanızda `opencode-go/kimi-k2.6` kullanmalısınız.
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) formatı `opencode-go/<model-id>` şeklindedir. Örneğin, Kimi K2.7 Code için yapılandırmanızda `opencode-go/kimi-k2.7-code` kullanmalısınız.
---

24
packages/web/src/content/docs/zh-cn/go.mdx
View File

@@ -49,18 +49,17 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
当前支持的模型列表包括：
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -85,12 +84,11 @@ OpenCode Go 包含以下限制：
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,13 +98,13 @@ OpenCode Go 包含以下限制：
预估值基于观察到的平均请求模式：
- GLM-5/5.1 — 每次请求 700 个输入 token，52,000 个缓存 token，150 个输出 token
- Kimi K2.5/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
- Kimi K2.7/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
- DeepSeek V4 Pro — 每次请求 750 个输入 token，82,000 个缓存 token，290 个输出 token
- DeepSeek V4 Flash — 每次请求 790 个输入 token，68,000 个缓存 token，280 个输出 token
- MiMo-V2.5 — 每次请求 830 个输入 token，71,500 个缓存 token，295 个输出 token
- MiMo-V2.5-Pro — 每次请求 790 个输入 token，86,000 个缓存 token，305 个输出 token
- MiniMax M3 — 每次请求 510 个输入 token，56,000 个缓存 token，190 个输出 token
- MiniMax M2.7/M2.5 — 每次请求 300 个输入 token，55,000 个缓存 token，125 个输出 token
- MiniMax M2.7 — 每次请求 300 个输入 token，55,000 个缓存 token，125 个输出 token
- Qwen3.7 Max — 每次请求 420 个输入 token，66,000 个缓存 token，200 个输出 token
- Qwen3.7 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
- Qwen3.6 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
@@ -117,8 +115,8 @@ OpenCode Go 包含以下限制：
| ---------------------------- | ----- | ----- | -------- | -------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ OpenCode Go 包含以下限制：
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ OpenCode Go 包含以下限制：
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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 K2.6，你将在配置中使用 `opencode-go/kimi-k2.6`。
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 K2.7 Code，你将在配置中使用 `opencode-go/kimi-k2.7-code`。
---

24
packages/web/src/content/docs/zh-tw/go.mdx
View File

@@ -49,18 +49,17 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
目前的模型清單包括：
- **GLM-5**
- **GLM-5.1**
- **Kimi K2.5**
- **GLM-5**
- **Kimi K2.7 Code**
- **Kimi K2.6**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -84,13 +83,12 @@ OpenCode Go 包含以下限制：
| ----------------- | --------------- | ---------- | ---------- |
| 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 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -100,11 +98,11 @@ OpenCode Go 包含以下限制：
這些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/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
- Kimi K2.7/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
- DeepSeek V4 Pro — 每次請求 750 個輸入 token、82,000 個快取 token、290 個輸出 token
- DeepSeek V4 Flash — 每次請求 790 個輸入 token、68,000 個快取 token、280 個輸出 token
- MiniMax M3 — 每次請求 510 個輸入 token、56,000 個快取 token、190 個輸出 token
- MiniMax M2.7/M2.5 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- MiniMax M2.7 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- Qwen3.7 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
- Qwen3.7 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
- Qwen3.6 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
@@ -117,8 +115,8 @@ OpenCode Go 包含以下限制：
| ---------------------------- | ----- | ----- | -------- | -------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
@@ -156,7 +154,7 @@ OpenCode Go 包含以下限制：
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -169,7 +167,7 @@ OpenCode Go 包含以下限制：
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
您的 OpenCode 設定中的 [model id](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，Kimi K2.6 在設定中應使用 `opencode-go/kimi-k2.6`。
您的 OpenCode 設定中的 [model id](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，Kimi K2.7 Code 在設定中應使用 `opencode-go/kimi-k2.7-code`。
---