Point at what is wrong and fix only that. Your subject, lighting and composition stay exactly as they were. GPT Image 2.5 runs here on both GPT-Image-2.5 Flare and Sunburst, free to start.
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Portrait of a craftsman at his bench, lit only by a warm desk lamp, deep shadows, Rembrandt lighting. Square 1:1.
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Enter a prompt and click Generate to create your first GPT Image 2.5 result.
CJK Text Renders Clean
Up to 50% Lower Latency
Up to 10 Images at Once
4K Output
Comment directly on a region and GPT Image 2.5 changes that region only. Recolour one jacket, clear one countertop, swap one sign — the rest of the frame is left alone rather than regenerated around your request.
GPT-Image-2.5 Flare is built for throughput, halving the wait against the previous generation. Fast enough that iterating stops feeling like a queue and starts feeling like a conversation — the single biggest day-to-day change in GPT Image 2.5.
Chinese, Japanese and Korean render as real glyphs. GPT Image 2 was already strong here — the 2.5 gain is that editing text inside a Chinese layout no longer disturbs the hundreds of other characters around it. Fine print can still slip, so proof dense layouts before you ship them.
Faces, pets and products hold their identifying detail across a long editing thread — noticeably better than the previous generation, though independent testers still report light artefacts on faces after many passes. Treat it as a large improvement, not a solved problem.
Draw a rough composition and let GPT Image 2.5 finish it, or start from a poster or product template. Transparent backgrounds and custom resolutions come out ready to drop into a design file.
No install, no waitlist. GPT Image 2.5 runs in the browser and your first render is free.
Type what you want, or upload a photo to work from. GPT Image 2.5 accepts both together, so a reference plus a sentence of direction is often the fastest route to a usable result.
Flare vs Sunburst is the only real choice you make: Flare when you are exploring and want speed, Sunburst when the shot is close and the fine detail has to hold. One independent test clocked Flare at 2 to 4 times the speed of GPT Image 2. Both are GPT Image 2.5.
Mark the part that is wrong and say what it should be. GPT Image 2.5 rewrites that region and preserves the rest, so each pass moves you forward instead of sideways. The trick is to state what changes and what must not, separately.
Use cases
The people who get the most out of GPT Image 2.5 are the ones who revise. Below are the four workflows where the GPT Image 2.5 editing model pays for itself fastest.
Ecommerce and retail
Product retouching, lifestyle staging and transparent cut-outs. GPT Image 2.5 keeps the product identical while the scene around it changes, which is exactly what a listing set needs — and its transparent output has visibly less white fringing than before.
Designers and studios
Sketch to render, interior concepts, interface mockups and brand assets. The model turns a rough composition into something presentable without losing the layout you drew.
Marketing and brand teams
Campaign key visuals, posters and multi-size social sets. Because the model renders dense type reliably, a layout with real copy in it no longer has to be rebuilt by hand.
Creators and developers
Covers, thumbnails, sprite sheets and transparent UI assets, plus API access for anyone building generation into their own product on Flare or Sunburst.
GPT Image 2.5 is the generation and editing model OpenAI released on 8 September 2026, officially named ChatGPT Images 2.5 and widely written as ChatGPT Image 2.5. It succeeds ChatGPT Images 2.0 and pushes three things at once: finer detail, faster turnaround, and edits that land only where you ask. Across ChatGPT and the API, the GPT Image family now produces more than three billion pictures every week. Almost everyone shortens the name to Image 2.5 in conversation, and this page uses both forms interchangeably.
On the API side, GPT Image 2.5 splits into two models for the first time. GPT-Image-2.5 Flare is the default: it favours speed, cutting latency by up to 50% against the previous generation, which suits high volume work and fast iteration. GPT-Image-2.5 Sunburst favours precision, taking a little longer in exchange for finer control — the tier people mean when they search for GPT Image Pro, and the one the GPT Image series was missing. Both accept text and reference photos, support transparent backgrounds and custom resolutions, and carry C2PA metadata plus an invisible watermark.
Released
8 September 2026
Flare
Speed — the default
Sunburst
Precision — edits
Measured speed
2–4x GPT Image 2
Sketch benchmark
97.8 / 100
Quality tiers
low → max
Every row below compares GPT Image 2.5 against the generation it replaces, using capabilities OpenAI documented when GPT Image 2.5 launched. We do not put rival models in this table — a comparison chart is a factual claim, and we only publish the ones we can source.
| Capability | GPT Image 2.5 | GPT Image 2 |
|---|---|---|
| Natural lighting and texture | Yes | Partial |
| Reference subject fidelity | Yes | Partial |
| Non-Latin text rendering | Yes | Partial |
| Generation latency | Up to 50% lower | Baseline |
| Multi-turn edit consistency | Yes | Partial |
| Reference photo input | Yes | Yes |
| Comment-based local edits | Yes | No |
| Quality tiers | low → max (5 tiers) | low → high (3 tiers) |
| API models | Flare + Sunburst | Single model |
| Free tier on this site | Yes | Yes |
The short version: GPT Image 2.5 is the same family of ideas executed with far more control. If you only ever generate one-off pictures, the gap is modest. If you iterate — and most commercial work is iteration — the local editing and multi-turn consistency are what change the economics. One published benchmark scored the sketch workflow at 64.6 out of 100 for a bare sketch versus 97.8 when the sketch is paired with a written brief, which is the single most useful number to know before you start. It is not perfect: testers still hit occasional drift on long threads.
One instruction: tidy the bed. The room, the light, the framing and the art on the wall are untouched. That is the difference Image 2.5 makes to an editing workflow.


Illustrative example. Generated to demonstrate the workflow.
Start with free credits, then choose a subscription or one-time credit pack when you need more video generations. Every option shows its credit allowance before checkout, so you can compare the likely cost of testing prompts, animating reference images, and producing finished clips without a long-term commitment.
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The questions people ask before their first render.
Your first GPT Image 2.5 render is free and takes about eight seconds. No card, no install, no queue — try it online right now.