GPT-4.1 Mini
/v1/responsesGPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints.
Request body
Parameters supported by the OpenAI Responses API. Values, defaults, and limits are read from the model registry.
Input text or structured content for the response.
Maximum number of tokens the model may generate in the response.
Maximum: 32768
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.
Seed used to make sampling more reproducible when the provider supports it.
Response Schema
Fields returned by the OpenAI Responses API.
Unique response identifier.
Response object type.
Response lifecycle status.
Model that generated the response.
Generated response output items.
Token usage when available.
Model capabilities
Capabilities declared by the model registry.
Default: chat, vision, structured_output, function_calling
Maximum context window accepted by this model.
Default: 1047576 tokens
Execution mode declared by the model registry.
Default: sync