GPT Image 2.5 Flare Economy
GPT Images 2.5 Flare is OpenAI's speed-optimized, high-throughput foundation model engineered for rapid image synthesis and editing. Serving as the default model for production API integration, Flare cuts generation latency by up to 50% and delivers 2–4× faster throughput compared to GPT Image 2 while maintaining superior visual fidelity. Processing up to 16 reference images, it preserves strict character identity, product textures, and brand styles across multi-turn edit sequences. Featuring integrated Sketch-to-Image control, native transparent background output, and crisp typography rendering up to 4K resolution, GPT Images 2.5 Flare efficiently powers high-volume e-commerce marketing assets, social media ad campaigns, rapidly iterated UI prototypes, and dynamic content pipelines.
GPT Image 2.5 Flare Economy
OpenAI's GPT Image 2.5 Flare Economy model generates high-quality images from natural-language prompts. It provides a ready-to-use REST inference API with excellent performance, no cold starts, and affordable pricing.
Base URL
https://api.icreat.aiAuthentication
All API requests must be authenticated using an API key. You can obtain an API key from the console.
export ICREAT_API_KEY="your-api-key-here"HTTP Request Headers
import os
API_KEY = os.environ.get("ICREAT_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer " + API_KEY,
}Protect Your API Key
Never expose your API key in client-side code or public repositories. Use environment variables or a backend proxy.
Code Examples
Image and video generation uses a two-step async flow: submit a task to get task_id, then poll via query task result; the response includes status and result ([] while processing; on SUCCEEDED, result holds resources and costUSD is present). The examples below use the same task_id across both steps.
1. Submit a Task
Send a generation request to the submission endpoint. A successful response returns a task_id. Save this ID for subsequent status polling and result retrieval.
2. Query Task Result (Poll)
Use the task_id from submit to poll progress (repeat until terminal). The response includes status and result: result is [] while processing; on SUCCEEDED, result holds resources and costUSD is included; FAILED means the task failed.
Input Parameters
Submit Task — Input Parameters
The following parameters are accepted in the submit task request body.
Total: 4 | Required: 3 | Optional: 1
Text prompt with a maximum length of 32,000 characters.
The dimensions of the generated image. Various preset sizes are supported, including 1024x1024, 2048x2048, 1280x720, and 2560x1440.
Controls how closely the generated result preserves the original input image.
A list of reference image URLs. Supports 1–10 images. Image-to-image generation is used when the list is not empty.
Query Task Result — Input
Total: 1 Required: 1 Optional: 0
The task ID returned from the submit endpoint.
Output Parameters
Submit Task — Output Parameters
Total: 1
The unique identifier of the asynchronous task. Use this ID to poll the task status and retrieve the result.
Query Task Result — Output
Total: variable
Current task status. result is usually [] until success; on SUCCEEDED, result holds resources and costUSD is present.
Generated resources. Empty array while processing or on failure; array of objects on success.
Task cost in USD. Present only when status is SUCCEEDED.
LLM Prompt
The Markdown below is an LLM-friendly prompt you can paste into AI assistants (e.g. Cursor, ChatGPT) to help them understand this model's API, call flow, and key parameters. Use Copy for AI or copy from the code block below.
# openai/gpt-image-2-5-flare-economy
> OpenAI's GPT Image 2.5 Flare Economy model generates high-quality images from natural-language prompts.
## Overview
Use the iCreat two-step async task API: submit a generation request, then poll the query task result endpoint; on success read resources from `result` (includes `costUSD`).
## API Info
- **Base URL**：`https://api.icreat.ai`
- **Submit endpoint (POST)**：`/v1/task/submit/openai/gpt-image-2-5-flare-economy`
- **Query result endpoint (POST)**：`/v1/task/result`
- **Model ID**：`openai/gpt-image-2-5-flare-economy`
- **Auth**：`Authorization: Bearer ${ICREAT_API_KEY}`
## Call Flow
1. **Submit**: POST submit path with body per Input Notes; response `{ "task_id": "..." }`
2. **Query result**: POST `/v1/task/result` with `{ "task_id": "..." }`; response includes `status` and `result` (`[]` while processing); on `SUCCEEDED`, `result` holds resources and `costUSD` is present; read `url` or `download_url` when `type` is `Image`
### Input Notes
- Request body uses top-level flat fields
- Required: `prompt`, `size`, `quality`
- Optional: `image`
- `prompt` (required): Text prompt with a maximum length of 32,000 characters.
- `size` (required): The dimensions of the generated image. Various preset sizes are supported, including `1024x1024`, `2048x2048`, `1280x720`, and `2560x1440`.
- `quality` (required): Controls how closely the generated result preserves the original input image.
- `image` (optional): A list of reference image URLs. Supports 1–10 images. Image-to-image generation is used when the list is not empty.
### Output Notes
- Poll: read `status`; `result` is `[]` while processing
- Success: `result` is `[{ "type": "Image", "url": "...", "download_url": "..." }]` plus `costUSD`
## Notes
- Use the same `task_id` across both steps; `result` is `[]` while processing — keep polling
- `FAILED` is terminal — check request parameters or reference media