DeepSeek: deepseek-v3.2:free
DeepSeek-V3.2 is the definitive "Reasoning-First" multimodal foundation model, utilizing the third-generation Multi-head Latent Attention (MLA) and DeepSeek-MoE architecture. This version introduces the "Dynamic Token Pruning" technology, which reduces inference latency by 40% compared to V3.0 while maintaining top-tier coding and mathematical reasoning capabilities. V3.2 is natively multimodal, capable of processing interleaved text, high-resolution images, and long-form video inputs without separate vision encoders. In 2026, it is widely recognized as the most cost-effective "GPT-5 Class" model, offering open-source weights for researchers and a highly scalable API for global developers.
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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 | Some providers | Not sent by default |
| include_reasoning | All providers | - |
| logit_bias | Some providers | - |
| logprobs | Some providers | - |
| max_tokens | All providers | - |
| min_p | Some providers | - |
| presence_penalty | Some providers | Not sent by default |
| reasoning | All providers | - |
| repetition_penalty | Some providers | Not sent by default |
| response_format | Some providers | - |
| seed | Some providers | - |
| stop | Some providers | - |
| structured_outputs | Some providers | - |
| temperature | All providers | 1 |
| tool_choice | Some providers | - |
| tools | Some providers | - |
| top_k | Some providers | Not sent by default |
| top_logprobs | Some providers | - |
| top_p | All providers | 0.95 |
Frequently asked questions
How much does deepseek-v3.2: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-v3.2:free via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=deepseek-v3.2:free. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of deepseek-v3.2:free?
deepseek-v3.2:free supports a context window of 65.5K tokens, shared between your prompt and the model's response.
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