GPT-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...
vision
MODALITIES
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INPUT PRICE
$2.50
OUTPUT PRICE
$2
CONTEXT
400K
RELEASED
Oct 16, 2025
| Provider | Cache | Uptime | Chat | |||
|---|---|---|---|---|---|---|
| — | $2.5 | $2 | Cache read$0.25 |
Capabilities
Input modalities
fileimagetext
Output modalities
imagetext
Features
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetop_logprobstop_p
1
Get your API key
Create an API key from the Keys page, then set it as an environment variable:
export ONLIST_API_KEY=sk-...2
Make your first request
Endpoints
POST
https://onlist.io/v1/images/generationsRequest Headers
Authorization:Bearer $ONLIST_API_KEY
Content-Type:application/json
Model:openai/gpt-5-image-mini
Code samples
curl https://onlist.io/v1/images/generations \
-H "Authorization: Bearer $ONLIST_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5-image-mini",
"prompt": "A white siamese cat",
"n": 1,
"size": "1024x1024"
}'Replace $ONLIST_API_KEY with the API key from your Keys page.
Authentication
All requests must include an Authorization: Bearer <TOKEN> header. Generate keys from the Keys page; keys can be scoped to specific models, groups, IP ranges, and rate limits.
Supported parameters
| Name | Type | Description |
|---|---|---|
frequency_penalty | number | Penalizes new tokens based on their existing frequency in the text (-2.0 to 2.0). |
include_reasoning | ||
logit_bias | ||
logprobs | boolean | Whether to return log probabilities of the output tokens. |
max_tokens | integer | Maximum number of tokens to generate in the completion. |
presence_penalty | number | Penalizes new tokens based on whether they appear in the text so far (-2.0 to 2.0). |
reasoning | ||
response_format | object | Specifies the output format. Use {"type": "json_object"} for JSON mode. |
seed | integer | If specified, the system will attempt deterministic sampling for reproducible results. |
stop | string | array | Up to 4 sequences where the API will stop generating tokens. |
structured_outputs | ||
temperature | number | Sampling temperature between 0 and 2. Higher values make output more random. |
top_logprobs | integer | Number of most likely tokens to return at each position (0-20). Requires logprobs: true. |
top_p | number | Nucleus sampling. The model considers tokens with top_p probability mass. |
These are the request parameters this model accepts. Parameter semantics follow the OpenAI Chat Completions specification.