deepseek-v3.2-exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Capabilities
Modalities
Quick stats
Performance
Supported parameters
| Parameter | Always | Default |
|---|---|---|
| frequency_penalty | (do not send) | |
| include_reasoning | - | |
| logit_bias | - | - |
| max_tokens | - | |
| min_p | - | - |
| presence_penalty | - | - |
| reasoning | - | |
| repetition_penalty | - | - |
| response_format | - | |
| seed | - | - |
| stop | - | - |
| structured_outputs | - | |
| temperature | 0.6 | |
| tool_choice | - | |
| tools | - | |
| top_k | - | |
| top_p | 0.95 |
Pricing
| Input price | $0.60 · 1M tokens |
| Output price | $0.90 · 1M tokens |
| Context window | 131.1K tokens |
| Compatible endpoints | openai |
| Vendor | DeepSeek |
Call deepseek-v3.2-exp from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v3.2-exp",
"messages": [{"role": "user", "content": "Hello!"}]
}'Frequently asked questions
How much does deepseek-v3.2-exp cost per 1M tokens?
Input is priced at $0.60 per 1M tokens, output at $0.90 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access deepseek-v3.2-exp via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=deepseek-v3.2-exp. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of deepseek-v3.2-exp?
deepseek-v3.2-exp supports a context window of 131.1K tokens, shared between your prompt and the model's response.
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Try deepseek-v3.2-exp now
Create an API key and start making requests in under a minute.