GPT Image 2.5 · OpenAI model overview

GPT Image 2.5: Faster Image Generation and Precise Editing

GPT Image 2.5 is OpenAI's latest image generation and editing release, built for faster iteration, precise edits, and reference-led visual workflows.

Flare for fast iteration
Sunburst for precise edits
Reference-led workflows
ModelGPT Image 2
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Official OpenAI GPT Image 2.5 solar flare explainer with a complex information layout
What changed in 2.5

Built for sharper, more controllable image work

OpenAI positions GPT Image 2.5 around stronger visual fidelity, targeted editing, and faster generation paths.

More faithful subjects

Reference images can guide the identity, shape, lighting, and texture of important people or objects more reliably.

Precise edits

Describe the element to change and the element to preserve, so an edit can stay focused instead of rebuilding the whole scene.

Stronger multi-turn consistency

Iterate on an image across several instructions while keeping the visual direction and key subject details aligned.

Faster generation paths

OpenAI reports up to 50% lower latency versus Images 2.0, with Flare designed for fast everyday and higher-volume work.

GPT Image 2.5 models

Choose the right 2.5 variant

OpenAI describes two API models for different generation priorities. Compare their strengths, workflows, and model IDs below.

WorkflowGPT Image 2.5 FlareGPT Image 2.5 Sunburst
Best forFast everyday generationDetailed creative and editing
PositioningSpeed-first image generationPrecision-first generation and editing
StrengthHigh-quality results with lower latencyTighter control across complex edits
Trade-offChoose it for rapid iteration and higher-volume workLonger generation time for premium workflows
API model IDgpt-image-2.5-flaregpt-image-2.5-sunburst

Read the official model documentation:

Read OpenAI's release announcement:Introducing ChatGPT Images 2.5
GPT Image 2.5 visual examples

Explore new GPT Image 2.5 visual examples

Explore GPT Image 2.5 visual examples including retrofuturist scenes, poster layouts, readable information graphics, and cinematic cityscapes.

Official OpenAI GPT Image 2.5 example showing a retrofuturist habitat illustration

Retrofuturist habitat illustration

A richly detailed space-habitat scene that highlights style control, lighting, and world-building.

Official OpenAI GPT Image 2.5 example showing a grid of mid-century modern posters

Mid-century poster grid

A nine-poster layout that demonstrates consistent typography, varied compositions, and readable messaging.

Official OpenAI GPT Image 2.5 example showing an ornate Lake Como wedding invitation

Lake Como wedding invitation

A polished invitation composition with ornate borders, a monogram, illustration, and small visual details.

Official OpenAI GPT Image 2.5 example showing a solar flare explainer slide

Solar flare explainer slide

An information graphic combining a scientific illustration, a four-step process, and explanatory text.

Official OpenAI GPT Image 2.5 example showing a ChatGPT sticker pack poster

Sticker pack poster

A campaign-style poster that combines headline text, character art, and a sheet of colorful stickers.

Official OpenAI GPT Image 2.5 example showing a cyberpunk city scene

Cyberpunk city scene

A cinematic night scene with a clear focal subject, reflective surfaces, signage, and layered city depth.

Some visual materials are from:OpenAI's GPT Image 2.5 announcement
How to evaluate the model

Move from model research to a useful image brief

A clear brief makes it easier to compare model behavior and spot whether an output actually solved the visual problem.

  1. 01

    Match the variant to the job

    Use Flare when iteration speed matters most; consider Sunburst when an edit needs tighter control and more time is acceptable.

  2. 02

    Write a visual brief

    State the subject, composition, lighting, materials, text areas, references, and the parts that must remain unchanged.

  3. 03

    Refine one change at a time

    Keep each follow-up focused so you can see which instruction improved the image and which detail still needs work.

GPT Image 2.5 FAQ

Questions about GPT Image 2.5

A concise guide to GPT Image 2.5, its API variants, and practical image-generation workflows.

What is GPT Image 2.5?

GPT Image 2.5 is OpenAI's latest image generation and editing release. OpenAI describes improvements in detail, reference subject preservation, precise edits, multi-turn consistency, and generation speed.

What is the difference between GPT Image 2.5 Flare and Sunburst?

Flare is the speed-oriented model for everyday and higher-volume image generation. Sunburst is the more capable option for detailed creative work and tighter editing precision, with longer generation time.

Can GPT Image 2.5 edit an existing image?

Yes. OpenAI's API documentation lists text and image inputs with image outputs. The release is designed for focused edits, reference-led work, and iterative changes that preserve important visual details.

Is GPT Image 2.5 available through an API?

Yes. OpenAI lists gpt-image-2.5-flare and gpt-image-2.5-sunburst as API model IDs, with generation and editing endpoints documented for developers.

How should I use reference images with GPT Image 2.5?

Use reference images to define the identity, shape, lighting, or texture that should remain consistent, then describe the new composition and the exact changes you want.

How can I get better GPT Image 2.5 edits?

Name the element to change, the details to preserve, and the intended visual result. Focus each follow-up on one change to make multi-turn refinement easier to control.

What resolutions and aspect ratios does GPT Image 2.5 support?

Resolution and aspect-ratio options can vary by API endpoint and client. Check the latest GPT Image 2.5 model documentation for the supported values.

Ready to make a draft?

Turn the brief into an image

Turn a visual brief into an image with prompts, references, and focused editing.