GPT-5 Image Mini

OpenAI Generally Available

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction fo

Context
400K
tokens
Input
$2.50
per MTok
Output
$2.00
per MTok

About

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...

Modalities

Input
file Vision Text
Output
Vision Text

Code Examples

curl https://api.openai.com/v1/chat/completions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5-image-mini",
    "messages": [
      { "role": "user", "content": "Explain quantum entanglement in one sentence." }
    ]
  }'

API Parameters

Name Type Description
frequency_penalty number Penalize tokens by their frequency so far. Positive values reduce repetition.
include_reasoning boolean Include the model's internal reasoning trace in the response.
logit_bias object Map of token-id to bias (-100…100) added to the logit before sampling.
logprobs boolean Return log probabilities for each output token.
max_tokens deprecated integer Deprecated. Use max_completion_tokens.
presence_penalty number Penalize tokens that have appeared at all so far. Positive values encourage new topics.
reasoning object Configuration for extended-thinking / reasoning mode.
response_format one of Constrain output to a JSON schema or an enum (structured outputs).
seed integer Deterministic seed for sampling. Same seed + same prompt produces identical output.
stop array Up to 4 sequences where the API will stop generating tokens.
structured_outputs boolean Enable JSON-schema-constrained output.
temperature number Sampling temperature; higher values produce more random output. 0 is deterministic.
top_logprobs integer Return the top-N most likely tokens at each step (requires logprobs: true).
top_p number Nucleus sampling: consider only tokens whose cumulative probability ≥ top_p.

Standard OpenAI-compatible parameters. Consult the provider docs for model-specific behaviour.