DeepSeek: deepseek-v3.1:free
A hybrid-inference flagship MoE model (671B total, 37B active). It bridges the gap between speed and logic by supporting both Thinking and Non-Thinking modes in a single model, featuring enhanced tool-calling and a 128k context window.
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Every upstream provider has hit its rate limit. The model comes back automatically once limits lift, usually within hours. Try again in a little while or switch to another model.
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Quick stats
Performance
Supported parameters
All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.
| Parameter | Providers | Default |
|---|---|---|
| frequency_penalty | All providers | Not sent by default |
| include_reasoning | All providers | - |
| logit_bias | Some providers | - |
| max_tokens | All providers | - |
| min_p | Some providers | - |
| presence_penalty | Some providers | - |
| reasoning | All providers | - |
| repetition_penalty | Some providers | - |
| response_format | Some providers | - |
| seed | Some providers | - |
| stop | Some providers | - |
| structured_outputs | All providers | - |
| temperature | All providers | Not sent by default |
| tool_choice | Some providers | - |
| tools | Some providers | - |
| top_k | Some providers | - |
| top_p | All providers | Not sent by default |
Frequently asked questions
How much does deepseek-v3.1:free cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access deepseek-v3.1:free via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=deepseek-v3.1:free. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of deepseek-v3.1:free?
deepseek-v3.1:free supports a context window of 131.1K tokens, shared between your prompt and the model's response.
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