DeepSeek V3.2
Chat model by DeepSeek.
DeepSeek-V3.2 is an open-weights Mixture-of-Experts language model featuring DeepSeek Sparse Attention for efficient long-context reasoning. It offers extended context handling and structured tool calling for complex conversational and agentic workflows.
Specifications
Context window, ranked against other chat models
Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.
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chat
Benchmarks
Pricing
Rates are read live
Pricing for deepseek-v3.2 is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.
Availability
Not enough data yet
We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.
How DeepSeek V3.2 is billed
Billed at the provider's list price, with no per-token markup.
- Exact list price
- Tokens settle at the published rate of the model that served your call.
- Cache discounts passed through
- Provider prompt-caching discounts reach your balance with no added fee.
- Cost on every response
- Each response carries the
x-nr-request-costheader, so you can reconcile spend per request.
More from DeepSeek
Start building with deepseek-v3.2
One API key, three steps. Choose your tool to begin.
Get a key
Create API keySet your API key
export NROUTER_API_KEY="<YOUR_API_KEY>"Configure Claude Code
Choose a tool, then copy its setup from the panel.
FAQs
What is DeepSeek V3.2?
DeepSeek-V3.2 is an open-weights Mixture-of-Experts language model featuring DeepSeek Sparse Attention for efficient long-context reasoning. It offers extended context handling and structured tool calling for complex conversational and agentic workflows.
How much does DeepSeek V3.2 cost?
DeepSeek V3.2 is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.
Does DeepSeek V3.2 support tool calling and structured outputs?
Yes. DeepSeek V3.2 supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.
What inputs and outputs does DeepSeek V3.2 support?
DeepSeek V3.2 takes text as input and returns text as output.
How do I use DeepSeek V3.2 via nRouter?
Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "dashscope/deepseek-v3.2". The quick-start panel above has a copy-paste curl command for this model.
When was DeepSeek V3.2 released?
DeepSeek V3.2 was released on December 1, 2025.
Where is the DeepSeek V3.2 documentation?
Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.
What other text models does DeepSeek have?
Other DeepSeek text models on nRouter include DeepSeek V4.1 Flash (nrouter.ai/models/deepseek-ai-deepseek-v4.1-flash), DeepSeek V4 Flash Vision Exp (nrouter.ai/models/deepseek-ai-deepseek-v4-flash-vision-exp), DeepSeek V4 Pro (nrouter.ai/models/deepseek-v4-pro), DeepSeek V4 Flash (nrouter.ai/models/deepseek-ai-deepseek-v4-flash).