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zen: deepseek v4 pro
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@@ -75,6 +75,8 @@ The current list of models includes:
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- **MiniMax M2.7**
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- **Qwen3.5 Plus**
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- **Qwen3.6 Plus**
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- **DeepSeek V4 Pro**
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- **DeepSeek V4 Flash**
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The list of models may change as we test and add new ones.
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@@ -92,25 +94,28 @@ Limits are defined in dollar value. This means your actual request count depends
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The table below provides an estimated request count based on typical Go usage patterns:
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| Model | requests per 5 hour | requests per week | requests per month |
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| ------------- | ------------------- | ----------------- | ------------------ |
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| GLM-5.1 | 880 | 2,150 | 4,300 |
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| GLM-5 | 1,150 | 2,880 | 5,750 |
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| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
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| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
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| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
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| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
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| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
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| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
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| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
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| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
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| Model | requests per 5 hour | requests per week | requests per month |
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| ----------------- | ------------------- | ----------------- | ------------------ |
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| GLM-5.1 | 880 | 2,150 | 4,300 |
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| GLM-5 | 1,150 | 2,880 | 5,750 |
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| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
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| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
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| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
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| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
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| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
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| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
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| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
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| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
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| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
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| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
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Estimates are based on observed average request patterns:
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- GLM-5/5.1 — 700 input, 52,000 cached, 150 output tokens per request
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- Kimi K2.5/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
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- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
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- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
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- MiMo-V2-Pro — 350 input, 41,000 cached, 250 output tokens per request
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- MiMo-V2-Omni — 1000 input, 60,000 cached, 140 output tokens per request
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@@ -141,20 +146,22 @@ after you've reached your usage limits instead of blocking requests.
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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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| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.5 | kimi-k2.5 | `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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| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
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| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
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| Model | Model ID | Endpoint | AI SDK Package |
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| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
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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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| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.5 | kimi-k2.5 | `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/messages` | `@ai-sdk/anthropic` |
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| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
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| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
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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 K2.6, you would
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