openai/gpt-image-2.5-flare/text-to-image

Text to Image

OpenAI GPT Image 2.5 Flare is OpenAI's everyday image model, fast and high quality with natural lighting, rich textures and complex layouts. Render crisp text, transparent backgrounds and up to 10 images per call, with six quality levels from low to max and seven size presets.

Try it Get API keyOpenAPI llms.txt

Prompt *

373 / 32,000

Image size

More settings (5)

Background

Number of Images

Output Compression

Output Format

Quality

ResultExampleSign in to try

Billed per token · about $0.037 per image at default settings · $0.0366 reserved per request

GPT Image 2.5 Flare Text to Image example

Example — generated from this input

A cozy kitchen flat lay on a light wood table: a cream recipe card titled "LEMON RICOTTA PANCAKES" with three short handwritten lines beneath reading "2 eggs", "1 cup ricotta" and "zest of 1 lemon", next to a stack of fluffy pancakes topped with blueberries, a halved lemon and a small glass jug of maple syrup. Soft morning light, realistic photo, crisp legible lettering.

Pricing

Text input /M: $5.00
Image input /M: $8.00
Image output /M: $30.00
Cache read /M: $2.00

About $0.037 per image at default settings (high quality, 1024×768, 1 image); higher quality, larger sizes and more images use more tokens.

Each request temporarily reserves $0.0366; you are charged for actual usage, usually within a minute: any unused amount is released and any usage above it is charged to your balance, even if that takes it below zero; while your balance is below zero, new requests are paused until a top-up covers it.

Failed generations are not charged.

API

Submit generation requests with this model ID.

POST/v1/model-tasks

openai/gpt-image-2.5-flare/text-to-image

Request body

{
  "model": "openai/gpt-image-2.5-flare/text-to-image",
  "input": {
    "prompt": "A cozy kitchen flat lay on a light wood table: a cream recipe card titled \"LEMON RICOTTA PANCAKES\" with three short handwritten lines beneath reading \"2 eggs\", \"1 cup ricotta\" and \"zest of 1 lemon\", next to a stack of fluffy pancakes topped with blueberries, a halved lemon and a small glass jug of maple syrup. Soft morning light, realistic photo, crisp legible lettering.",
    "background": "auto",
    "image_size": "landscape_4_3",
    "num_images": 1,
    "output_format": "png",
    "quality": "high"
  }
}

Input schema

Parameter	Type	Requirement	Default
prompt	string	Required	—
background	string	Optional	auto
image_size	object \| string	Optional	landscape_4_3
num_images	integer	Optional	1
output_compression	integer	Optional	—
output_format	string	Optional	png
quality	string	Optional	high

Response

The API returns a result or a pollable asynchronous task. See the examples and Schema below for the response mode and result fields.

Asynchronous task

Submit response

HTTP 202

/v1/model-tasksapplication/json

{
  "id": "task_example",
  "model": "openai/gpt-image-2.5-flare/text-to-image",
  "status": "queued"
}

Status response

HTTP 200

/v1/model-tasks/{id}application/json

{
  "id": "task_example",
  "model": "openai/gpt-image-2.5-flare/text-to-image",
  "status": "completed",
  "output": {
    "images": [
      {
        "url": "https://api.musespan.com/v1/model-tasks/task_example/artifacts/0"
      }
    ]
  }
}

File download

HTTP 200

/v1/model-tasks/{id}/artifacts/{index}Generated image (e.g. image/png)

When the task completes, file URLs in output point to this endpoint, numbered from 0. Send the same API key (Authorization header) when downloading.

Error response

HTTP 400

/v1/model-tasksapplication/json

{
  "error": {
    "code": "invalid_input",
    "message": "The input does not match this model's input schema. Check the model's API documentation.",
    "type": "invalid_request_error"
  }
}

Code examples

Async submission returns a task ID. Poll until status is completed, then retrieve the generated content from the result. Get your API key in the console.

# Use a new directory for each new generation. Rerunning here continues this task.
set -eu
test -s model-task-id.txt || python3 -c "import uuid; print(uuid.uuid4())" > model-task-id.txt
REQUEST_ID=$(cat model-task-id.txt)
# Idempotent: resending the same bytes with the same ID never charges twice.
curl --fail-with-body --retry 3 --retry-connrefused --request POST 'https://api.musespan.com/v1/model-tasks' \
  --header "Authorization: Bearer $MUSESPAN_API_KEY" \
  --header "X-Request-Id: $REQUEST_ID" \
  --header "Content-Type: application/json" \
  --data '{"model":"openai/gpt-image-2.5-flare/text-to-image","input":{"prompt":"A cozy kitchen flat lay on a light wood table: a cream recipe card titled \"LEMON RICOTTA PANCAKES\" with three short handwritten lines beneath reading \"2 eggs\", \"1 cup ricotta\" and \"zest of 1 lemon\", next to a stack of fluffy pancakes topped with blueberries, a halved lemon and a small glass jug of maple syrup. Soft morning light, realistic photo, crisp legible lettering.","background":"auto","image_size":"landscape_4_3","num_images":1,"output_format":"png","quality":"high"}}'
# Poll every 5 seconds for up to 25 minutes until status is completed or failed.
# Still queued (with queue_position) 5 minutes after submission: failed with queue_timeout, not charged.
# No result 15 minutes after acceptance (or no confirmation 15 minutes after submission): failed with generation_timeout, not charged.
# Any failure is final: generate again in a new directory (a new X-Request-Id).
# A 404 means the POST did not arrive: rerun this script to resend it with the same ID.
curl --fail-with-body 'https://api.musespan.com/v1/model-tasks/'"$REQUEST_ID"'' --header "Authorization: Bearer $MUSESPAN_API_KEY"