OpenAI: GPT-5 Image

openai/gpt-5-image

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
→
INPUT PRICE
$10per 1M
OUTPUT PRICE
$10per 1M
CONTEXT
400K
RELEASED
Oct 14, 2025
ProviderChat
$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

POSThttps://onlist.io/v1/images/generations
Request 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

NameTypeDescription
include_reasoning
logprobsbooleanWhether to return log probabilities of the output tokens.
max_tokensintegerMaximum number of tokens to generate in the completion.
reasoning
response_formatobjectSpecifies the output format. Use {"type": "json_object"} for JSON mode.
seedintegerIf specified, the system will attempt deterministic sampling for reproducible results.
structured_outputs
temperaturenumberSampling temperature between 0 and 2. Higher values make output more random.
top_logprobsintegerNumber of most likely tokens to return at each position (0-20). Requires logprobs: true.
top_pnumberNucleus 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.