DeepSeek V3.2 Speciale
/v1/chat/completionsDeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning to push capability beyond the base model. Reported evaluations place Speciale ahead of GPT-5 on difficult reasoning workloads, with proficiency comparable to Gemini-3.0-Pro, while retaining strong coding and tool-use reliability. Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.
Request body
Parameters supported by this model. Values, defaults, and limits are read from the model registry.
Model identifier. Set to deepseek/deepseek-v3.2-speciale.
Default: deepseek/deepseek-v3.2-speciale
Conversation messages in system, user, or assistant order.
Maximum number of tokens the model may generate in the response.
Range: −∞ to 163840
Sampling temperature. Lower values are more deterministic; higher values are more creative.
Range: 0 to 2
Default: 1
Nucleus sampling threshold. Use this or temperature, but usually not both.
Range: 0 to 1
When true, returns incremental Server-Sent Events instead of one completed response.
Default: false
Controls the response format, including JSON mode or structured JSON output when supported.
Sequences that stop generation when the model produces one of them.
Penalizes tokens that already appeared, encouraging the model to introduce new topics.
Range: -2 to 2
Penalizes repeated tokens, reducing repetition in the generated response.
Range: -2 to 2
Seed used to make sampling more reproducible when the provider supports it.
Request parameter supported by this model.
Range: 0 to ∞
Response Schema
Fields returned by this model API response.
Generated completion choices.
Unique chat completion identifier.
Model that generated the response.
Token usage when available.
Model capabilities
Capabilities declared by the model registry.
Default: chat, reasoning, structured_output
Maximum context window accepted by this model.
Default: 163840 tokens
Execution mode declared by the model registry.
Default: sync

