GPT-5 Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user e...
vision
MODALITIES
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INPUT PRICE
$10
OUTPUT PRICE
$10
CONTEXT
400K
RELEASED
Oct 14, 2025
| Provider | Chat | ||||
|---|---|---|---|---|---|
| $10 | $10 | Hit rate— Cache read$1.25 | 100.0% |
Capabilities
Input modalities
fileimagetext
Output modalities
imagetext
Features
include_reasoninglogprobsmax_tokensreasoningresponse_formatseedstructured_outputstemperaturetop_logprobstop_pverbosity
1
Get 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
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",
"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 |
|---|---|---|
include_reasoning | ||
logprobs | boolean | Whether to return log probabilities of the output tokens. |
max_tokens | integer | Maximum number of tokens to generate in the completion. |
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. |
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. |
verbosity |
These are the request parameters this model accepts. Parameter semantics follow the OpenAI Chat Completions specification.
