GPT-Image-2.5

What Is GPT-Image-2.5?

GPT-Image-2.5 is OpenAI's image generation and editing model family, released on September 8, 2026. Rather than a single model, it ships as two API variants: Flare (gpt-image-2.5-flare) for fast, high-volume generation and Sunburst (gpt-image-2.5-sunburst) for work where editing precision matters most. OpenAI also offers it inside ChatGPT and Codex as ChatGPT Images 2.5.

What It's Good For

The clearest strength of GPT-Image-2.5 is iterative, multi-step editing. OpenAI says the model follows specific edit instructions more reliably across long conversations, keeps earlier changes consistent, and builds on previous work without losing image quality over time. It is also better at changing only the element you ask for, such as a product, a background or a line of text, while leaving the subject, composition and surrounding brand treatment intact.

OpenAI also reports sharper detail, more natural lighting and textures, better preservation of subjects from reference photos, and, for Flare, up to 50% lower latency than GPT-Image-2 with higher-quality output.

The Flare variant is well suited to:

• Rapid prototyping and asset batching: social content, product experiences, visual search and high-volume generation
• Production pipelines where latency affects throughput
• Agentic workflows through the Responses API, where the model can be called as an image generation tool alongside a mainline model

Sunburst is the better choice for campaign-ready assets, polished product visuals and other edit-heavy workflows that justify longer generation times.

Who It's a Good Fit For

For marketing and e-commerce teams, targeted edits are practical: update a headline or a product color without regenerating the whole scene. OpenAI says the model handles complex creative briefs more reliably, including transparent backgrounds and layouts with a defined structure.

For developers building image pipelines, both variants are available through the Images API and the Responses API. OpenAI's API reference lets an edit request carry up to 16 input images, and transparent-background PNG or WebP output is supported. That suits asset pipelines that feed into tools like Adobe Firefly or Midjourney v6 for further compositing.

Limitations and Where It Falls Short

Resolution has a ceiling. OpenAI's documentation supports sizes up to 3840×2160, but resolutions above 2560×1440 are experimental, so large print work may still need a separate upscaling step.

OpenAI's documentation also lists limits that carry over from earlier GPT Image models: complex prompts can take up to two minutes, text placement and clarity can still be imprecise, and recurring characters or brand elements may not stay visually consistent across multiple generations.

Pricing is token-based with no flat per-image rate, which makes budgeting harder for teams used to predictable per-generation costs, and the API has no free tier. ChatGPT is the more accessible entry point for non-developers.