StepFun: Step 3.7 Flash
/v1/chat/completionsStep 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters per token. The model supports a 256K context window and exposes selectable reasoning levels (high/medium/low), letting callers trade off speed, cost, and depth of reasoning.
Request body
Parameters supported by this model. Values, defaults, and limits are read from the model registry.
Model identifier. Set to stepfun/step-3.7-flash.
Default: stepfun/step-3.7-flash
Conversation messages in system, user, or assistant order.
Maximum number of tokens the model may generate in the response.
Range: −∞ to 256000
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 repeated tokens, reducing repetition in the generated response.
Range: -2 to 2
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, vision, reasoning, structured_output, function_calling
Maximum context window accepted by this model.
Default: 256000 tokens
Execution mode declared by the model registry.
Default: sync

