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.
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GPT Image 2.5 Sunburst Economy
GPT Images 2.5 Sunburst is OpenAI's precision-focused, flagship foundation model engineered for premium visual synthesis and meticulous editing. Positioned as the high-fidelity tier of the GPT Images 2.5 series, Sunburst maximizes visual detail, natural light reconstruction, and strict prompt adherence. Processing up to 16 reference images in a single request, it preserves exact character identity, product textures, and complex compositions over multi-turn edits. Featuring sharp typography rendering, native transparent background channels (PNG/WebP), and resolutions up to 4K (3840px), GPT Images 2.5 Sunburst efficiently powers high-end commercial advertising, brand identity design, architectural visualization, and enterprise marketing pipelines.
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GPT Image 2.5 Flare Economy
GPT Image 2.5 Flare Economy is a text-to-image model from OpenAI's GPT Image 2.5 series released on September 8, 2026, generating high-quality images from natural language prompts. The model provides an out-of-the-box REST inference API with strong performance, no cold start, and affordable pricing, supporting both text-to-image and image-to-image modes with 1–10 reference images for editing. The API supports multiple resolutions (1024x1024, 2048x2048, 1280x720, 2560x1440, etc.), with a maximum single-side length of 3840 pixels.
The iCreat platform offers this model via the endpoint https://api.icreat.ai/v1/task/submit/openai/gpt-image-2-5-flare-economy, operating in an asynchronous three-step mode with flat pricing of $0.06/image for 1K/2K/4K.
Model Positioning
GPT Image 2.5 Flare Economy is positioned as the Economy variant of the GPT Image 2.5 Flare model, offering high-quality image generation at a highly competitive price with low latency.
Compared to the Sunburst Economy variant of the same series, the Flare Economy version focuses more on generation speed and low latency, suitable for everyday batch image generation scenarios. The model supports both text-to-image and image-to-image dual modes, handling the full spectrum from simple generation to multi-image reference editing.
On the iCreat platform, the model is served through an asynchronous three-step workflow where users submit tasks, poll for status, and retrieve results.
Core Capabilities
Text-to-Image and Image-to-Image Dual Mode
The model supports both text-prompt-only generation and reference-image-guided editing (1–10 reference images), covering the full workflow from creative generation to image editing.
Multi-Resolution Support
Supports 1024x1024, 2048x2048, 1280x720, 2560x1440, and other preset sizes, with a maximum single-side length of 3840 pixels and total pixels between 655,360 and 8,294,400.
Quality Fidelity Control
The quality parameter (high/medium/low) controls the fidelity of the generated result to the original input image, adapting to different needs from quick drafts to refined final output.
Long Text Prompts
Supports text prompts up to 32,000 characters, enabling description of complex generation requirements and editing instructions.
Pricing
| Size Tier | Unit Price | Billing |
|---|---|---|
| 1K | $0.06/image | Per output image |
| 2K | $0.06/image | Per output image |
| 4K | $0.06/image | Per output image |
Note: The above are iCreat platform prices with flat pricing for 1K/2K/4K. OpenAI's official Flare variant is token-based (image input $8/M, output $30/M tokens); the iCreat Economy version is per-image, significantly cheaper than official pricing. The iCreat platform price shall prevail.
Application Scenarios
- Social media content imagery and batch material generation
- E-commerce product image editing and style transfer
- Creative design concept rapid generation and iteration
- Advertising and marketing material rapid production
- Educational and presentation illustration creation
Model Comparison
Comparison Table 1: GPT Image 2.5 Economy Variants (iCreat Endpoint)
| Feature | Flare Economy | Sunburst Economy |
|---|---|---|
| Positioning | Default choice, low latency | Precise editing, stronger multi-turn consistency |
| Billing | Per image | Per image |
| 1K Price | $0.06/image | $0.06/image |
| Generation Speed | Faster | Standard |
| Editing Precision | Standard | Higher |
| Multi-turn Editing Consistency | Strong | Strongest |
| Reference Images | 1–10 | 1–10 |
Note: Both Economy variants are identically priced; Flare focuses on speed and low latency, Sunburst focuses on editing precision and multi-turn consistency.
Comparison Table 2: GPT Image 2.5 Flare Economy vs Official Flare
| Feature | Flare Economy (iCreat) | Flare (Official) |
|---|---|---|
| Positioning | Economy, low-cost batch | Default, high quality low latency |
| Billing | Per image | Per token |
| 1K Price | $0.06/image | ~$0.08/image (token equivalent) |
| Latency | Standard | 50% lower than Images 2.0 |
| Reference Images | 1–10 | Supported |
| Multi-turn Editing | Supported | Supported (stronger consistency) |
Note: Economy is per-image priced at approximately 75% of the token-based official pricing, suitable for batch scenarios.
Why Choose GPT Image 2.5 Flare Economy?
- Flat pricing of $0.06/image for 1K/2K/4K, far below official token-based pricing
- Flare variant with faster generation speed and lower latency
- Supports both text-to-image and image-to-image dual modes with 1–10 reference images
- Multiple resolutions (1024x1024 to 4K), from draft to final output
- Up to 32,000-character prompts for complex generation requirements
- Quality fidelity control (high/medium/low) for different scenarios
Specifications
| Field | Value |
|---|---|
| Model Name | GPT Image 2.5 Flare Economy |
| Developer | OpenAI |
| Endpoint | https://api.icreat.ai/v1/task/submit/openai/gpt-image-2-5-flare-economy |
| Query Status Endpoint | https://api.icreat.ai/v1/task/query-status |
| Get Result Endpoint | https://api.icreat.ai/v1/task/get-result |
| Release Date | 2026-09-08 |
| Model Type | Multimodal image generation (T2I + I2I) |
| Authentication | Authorization: Bearer |
| Input Type | prompt (text prompt, max 32,000 chars), image (reference image URL list, 1–10, optional) |
| Parameters | size (multiple preset sizes), quality (high/medium/low) |
| Output Format | Image |
| Size Range | Max single side 3840 pixels, total pixels 655,360–8,294,400 |
| Billing Unit | Per image |
| API Mode | Asynchronous three-step (submit → query-status → get-result) |
Architecture
The iCreat platform's GPT Image 2.5 Flare Economy operates using an asynchronous three-step architecture. Users submit tasks via the submission endpoint, and the system returns a task ID. The task status is then polled via the query-status endpoint, and once complete, the final image result is retrieved via the get-result endpoint. Requests must include the API Key in the Authorization header for authentication. The request body uses a flat top-level field structure containing prompt (text prompt), size (dimensions), quality (fidelity level), and optional image (reference image URL list). When the image list is non-empty, image-to-image generation is performed; when empty, text-to-image generation is used. The model ID is included in the submission endpoint URL path; the request body does not use a model field.
Notes
- The prompt has a maximum length of 32,000 characters; exceeding this may result in rejection
- The size parameter should select from supported preset sizes; non-standard sizes may cause generation failure
- The quality parameter controls fidelity to the original input image; high is most faithful, low is most creative
- Reference images must be publicly accessible HTTPS URLs, supporting 1–10 images
- 1K/2K/4K are uniformly priced at $0.06/image; for higher editing precision, consider the Sunburst Economy variant
- Please safeguard your API Key and avoid hardcoding it in client-side code or public repositories
Frequently Asked Questions
How is the billing calculated?
Billing is calculated per output image, with a flat price of $0.06/image for 1K/2K/4K. For example, generating one 1024x1024 image costs $0.06, and generating one 4K image also costs $0.06. The iCreat platform price shall prevail.
What is the difference between Flare Economy and Sunburst Economy?
Both are identically priced ($0.06/image). Flare Economy focuses on generation speed and low latency, suitable for everyday batch generation scenarios; Sunburst Economy focuses on editing precision and multi-turn editing consistency, suitable for scenarios with higher image editing quality requirements.
What input modes are supported?
Both text-to-image (prompt only) and image-to-image (prompt + image list) modes are supported. In T2I mode, only a prompt is provided; in I2I mode, a prompt and 1–10 reference image URLs are provided, and the model combines text instructions with reference images for generation or editing.
What values does the size parameter support?
Supports 1024x1024, 2048x2048, 1280x720, 2560x1440, and other preset sizes. The maximum single-side length is 3840 pixels, with total pixels between 655,360 and 8,294,400.
What does the quality parameter do?
Quality controls the fidelity of the generated result to the original input image. High means highest fidelity (suitable for refined editing), medium is the default balance, and low means lowest fidelity (suitable for creative freedom). This parameter is required.
Is image-to-image editing supported?
Yes. Provide an image field (reference image URL list, 1–10 images) in the request body to perform image-to-image editing. The model combines the prompt instructions with reference image content to generate a new image that meets the requirements.