go: grok 4.5 and kimi k3
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@ -59,8 +59,10 @@ Only one member per workspace can subscribe to OpenCode Go.
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The current list of models includes:
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- **Grok 4.5**
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- **GLM-5.2**
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- **GLM-5.1**
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- **Kimi K3**
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- **Kimi K2.7 Code**
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- **Kimi K2.6**
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- **MiMo-V2.5**
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@ -91,10 +93,12 @@ The table below provides an estimated request count based on typical Go usage pa
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| Model | requests per 5 hour | requests per week | requests per month |
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| ----------------- | ------------------- | ----------------- | ------------------ |
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| Grok 4.5 | 80 | 190 | 380 |
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| GLM-5.2 | 880 | 2,150 | 4,300 |
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| GLM-5.1 | 880 | 2,150 | 4,300 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| Kimi K3 | 140 | 340 | 680 |
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| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
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| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
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| MiniMax M3 | 3,200 | 8,000 | 16,000 |
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@ -107,8 +111,9 @@ The table below provides an estimated request count based on typical Go usage pa
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The estimates are based on observed average request patterns:
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- Grok 4.5 — 1,100 input, 71,500 cached, 220 output tokens per request
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- GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
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- Kimi K2.7 Code/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
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- Kimi K3/K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
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- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
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- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
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- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
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@ -119,26 +124,28 @@ The estimates are based on observed average request patterns:
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- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens per request
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- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
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The estimates are also based on the following prices per 1M tokens:
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The estimates are also based on the following prices per 1M tokens and the monthly usage included with each model:
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| Model | Input | Output | Cached Read | Cached Write |
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| ---------------------------- | ----- | ------ | ----------- | ------------ |
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| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
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| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
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| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
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| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
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| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
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| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
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| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
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| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
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| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
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| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
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| Model | Input | Output | Cached Read | Cached Write | Usage |
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| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
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| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
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| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
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| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
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| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
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| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
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| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
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| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
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| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
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| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
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| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
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| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
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| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
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You can track your current usage in the **<a href={console}>console</a>**.
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@ -158,14 +165,28 @@ after you've reached your usage limits instead of blocking requests.
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---
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### Why some models have lower usage
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With Go, you pay $10/month and we aim to give you 6x that in usage.
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For most models, we make this work through bulk discounts and reserved GPU capacity. We then pass those savings on to you through the 6x multiplier.
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For some models, we haven't had the opportunity to negotiate a discount or host them at a lower cost, either because the model is new or because their public pricing is already discounted.
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For these models, you still get a little more than if you paid the model providers directly; this is why their usage mulitplier is lower in the table above.
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---
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## Endpoints
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You can also access Go models through the following API endpoints.
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| Model | Model ID | Endpoint | AI SDK Package |
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| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
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| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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@ -180,8 +201,8 @@ You can also access Go models through the following API endpoints.
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| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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The [model id](/docs/config/#models) in your OpenCode config
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uses the format `opencode-go/<model-id>`. For example, for Kimi K2.7 Code, you would
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use `opencode-go/kimi-k2.7-code` in your config.
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uses the format `opencode-go/<model-id>`. For example, for Kimi K3, you would
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use `opencode-go/kimi-k3` in your config.
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---
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