DeepSeek V4.1 Flash
/v1/chat/completionsDeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on output from a 552B-parameter backbone, an asymmetric split that keeps per-token compute low relative to the model's total size. Image understanding is native to the architecture, with visual and text embeddings trained jointly from the start of pre-training rather than added afterward as in the earlier experimental V4 Flash Vision Exp.
Request body
Parameters supported by this model. Values, defaults, and limits are read from the model registry.
Model identifier. Set to deepseek/deepseek-v4.1-flash.
Default: deepseek/deepseek-v4.1-flash
Conversation messages in system, user, or assistant order.
Maximum number of tokens the model may generate in the response.
Maximum: 943718
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
Tool definitions that the model may call during the response.
Controls whether the model may call a tool and, when supported, which tool it must call.
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.
Minimum: 0
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, function_calling
Maximum context window accepted by this model.
Default: 1048576 tokens
Execution mode declared by the model registry.
Default: sync