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GPT Image 2.5

VERDICT

8.3
Recommended
chatgpt-logo-chat-gpt-icon-on-white-background-free-vector

GPT Image 2.5

Two capable image models with serious controls - and limitations marketers still cannot ignore.

Tested: October, 2026

VERDICT

8.3
Recommended

"GPT Image 2.5 is not simply ChatGPT's image generator with a new version number. It is a two-model family: Sunburst prioritizes editing precision, while Flare is built for faster everyday generation. Both offer strong prompt adherence, flexible output controls, and useful multi-turn editing. But text is still fallible, exact layouts can drift, and the result remains a flattened image rather than an editable design file. It is an excellent engine for applications and asset pipelines - not a replacement for a designer or layout software."

— AI Suggestions Verdict

● 8.0+ recommended

● 6.0–7.9 conditional

● under 6.0 skip

Overview

GPT Image 2.5 is a family of two image-generation models available through OpenAI’s API. Sunburst is intended for work where editing accuracy matters most, while Flare prioritizes speed for routine generation.
That distinction matters. GPT Image 2.5 should not be reviewed as though it were simply an image feature bundled with ChatGPT Plus. Developers access it through the Images API or use it as an image-generation tool inside the Responses API. API usage is billed separately according to the number and type of tokens processed.
The Images API is the more direct option for generating or editing individual images. The Responses API adds conversational, multi-turn workflows, allowing an application to retain an image in context and apply subsequent changes without rebuilding the request from scratch.
The editing capabilities are one of the strongest reasons to use it. GPT Image 2.5 accepts reference images, supports masked edits, and can carry an image through multiple rounds of revision. Sunburst is the better choice when preserving the original subject or composition matters. Flare makes more sense when producing drafts or larger volumes quickly.
Output controls are much stronger than the previous review suggested. Both models support custom dimensions, quality settings ranging from low to max, transparent backgrounds, and PNG, JPEG, or WebP exports. Images can reach 4K dimensions, although OpenAI classifies resolutions above 2560 × 1440 as experimental.
Text rendering has improved, but calling it “near-perfect” is an overstatement. Short headlines and simple labels can work well, but longer copy, small type, and tightly controlled placement still need checking. OpenAI itself identifies precise text placement and clarity as continuing limitations.
The same warning applies to layout control. GPT Image 2.5 can follow detailed instructions, but it may still shift objects, alter spacing, or lose consistency across repeated characters and brand elements. A successful first result does not guarantee that the fifth variation will preserve everything correctly.
Speed depends heavily on the model, dimensions, and quality setting. Flare is the sensible default when turnaround matters. Sunburst and the higher quality modes are better treated as final-render options. Complex generations can still take up to two minutes, so this is not an instant production pipeline.
The final limitation is editability. GPT Image 2.5 exports raster images, not layered Photoshop, Illustrator, or Figma files. It can revise an image intelligently, but it does not give a designer independent control over the typography, objects, masks, and background afterward.

"GPT Image 2.5 gives developers more control over generation. It still does not give designers an editable source file."

Pros Cons
+ Choice between precision-focused Sunburst and faster everyday Flare – Text placement and spelling are improved but still not dependable enough for final copy
+ Supports multi-turn generation, reference images, and masked editing – Exact compositions and recurring brand elements can drift between generations
+ Custom dimensions, transparent backgrounds, compression, and multiple export formats – Complex or high-quality generations may take up to two minutes
+ Quality settings extend to xhigh and max for higher-detail final assets – Exports flattened raster images rather than layered or vector design files

Who would we recommend it to?

  • Developers adding image generation or editing to an application
  • Creative teams building automated marketing-asset pipelines
  • Product teams that need custom dimensions, transparent backgrounds, or masked edits
  • Businesses that want separate model options for fast drafts and precision-focused revisions

Skip it if:

  • You want a no-code design interface rather than an API
  • Your graphics require exact typography and pixel-perfect layout
  • You need consistent characters or brand elements across a large campaign
  • Your team requires layered, vector, or directly editable source files

Score Card

Score Card

Overall8.3
Ease of Use8.0
Features9.5
Response Quality8.5
Response Speed7.5
Value for Money8.0

Pricing

Image input$8 per 1 million tokens
Cached image input$2 per 1 million tokens
Image output$30 per 1 million tokens
Text input$5 per 1 million tokens
Cached text input$1.25 per 1 million tokens

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