GPT-5 Image Mini
/v1/responsesGPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by GPT-5 Mini, with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text rendering, and detailed image editing with reduced latency and cost. It excels at high-quality visual creation while maintaining strong text understanding, making it ideal for applications that require both efficient image generation and text processing at scale.
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: 128000
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.
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, reasoning, structured_output
Maximum context window accepted by this model.
Default: 400000 tokens
Execution mode declared by the model registry.
Default: sync