deepseek-v3.2-think · DeepSeek
DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.
DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.
DeepSeek V3.2 Thinking has a 128,000 token context window.
On AIHubMix, DeepSeek V3.2 Thinking costs $0.302 per million input tokens and $0.453 per million output tokens. Cached input reads are billed at $0.03 per million tokens.
DeepSeek V3.2 Thinking accepts text input.
DeepSeek V3.2 Thinking supports tool calling, function calling, structured outputs and thinking. Per-protocol parameter support is listed in the capability table on this page.
DeepSeek V3.2 Thinking is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to deepseek-v3.2-think — no other code changes needed.
DeepSeek V3.2 Thinking is developed by DeepSeek. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use DeepSeek V3.2 Thinking via the AIHubMix unified API — one interface for every major LLM.