Sharper Detail for Production Image Work
Last verified: September 9, 2026
Sharper detail, more natural lighting, and richer texture define GPT Image 2.5, OpenAI's image-generation and editing family introduced on September 8, 2026. Its documented consumer-facing alias is ChatGPT Images 2.5, while developer access is organized into Flare and Sunburst variants.
The family is designed for realistic generation, focused edits, subject preservation, and stronger consistency across successive refinements. OpenAI also documents improved infographic accuracy and layout, with Flare positioned for faster everyday work and Sunburst for demanding quality and editing precision.
The family name covers two performance profiles rather than one fixed speed-and-quality point. Exact copy, diagram labels, hands, product geometry, and transparency should still receive a deliberate quality check before an image is published.
Explore GPT Image's Models
2.5 Image Capability Snapshot
Unmarked values are available here; "OpenAI studio envelope" identifies developer-documented capacity beyond the controls confirmed on this page.
Prompt capacity
2,048 characters; creator ceiling of 32,000 characters — OpenAI studio envelope
Supported media
Text and image input; image output; no audio or video — OpenAI studio envelope
Quality modes
auto, low, medium, high, xhigh, and max — OpenAI studio envelope
Custom canvas range
Up to 3,840 pixels per edge and 8,294,400 total pixels — OpenAI studio envelope
Images per request
1-10 images — OpenAI studio envelope
Files and backgrounds
PNG, JPEG, or WebP; transparency requires PNG or WebP — OpenAI studio envelope
Prepare a 2.5-Ready Image Brief
Check these six details before generating to reduce layout drift, incorrect copy, and avoidable visual cleanup.
Stay within the page prompt limit
Fit the complete brief within 2,048 characters, prioritizing the subject, deliverable, composition, required copy, style, and exclusions.
Name the asset and its placement
State whether you need a product hero, poster, diagram, package concept, or social image, then describe its orientation and important placement constraints.
Quote every required word
Place exact copy in quotation marks, define where it belongs, and say whether it should appear once or in multiple locations.
Separate light from material
Describe the light source, shadow behavior, surface finish, and texture independently so realistic materials do not inherit conflicting visual cues.
Resolve poses and interactions
For people or animals, specify body framing, gaze, hand position, relative scale, and interaction with nearby objects.
Plan a final visual QA pass
Inspect spelling, labels, hands, product geometry, relationships in diagrams, and edge quality; revise one problem at a time if the image drifts.
GPT Image 2.5 vs GPT Image 2: Choose Your Workflow
In the 2.5 column, unmarked text is what this page delivers. The marker "OpenAI studio envelope" flags creator-documented capabilities whose controls are not confirmed here; the older model column follows its own official documentation.
| Feature/Spec | GPT Image 2.5 | GPT Image 2 |
|---|---|---|
| Official model choices | Flare for speed and Sunburst for demanding quality and precision — OpenAI studio envelope | Single gpt-image-2 model ID |
| Prompt capacity | 2,048 characters; creator ceiling of 32,000 characters — OpenAI studio envelope | 32,000 characters |
| Quality controls | auto, low, medium, high, xhigh, and max — OpenAI studio envelope | auto, low, medium, and high |
| Custom image size envelope | Custom WIDTHxHEIGHT; up to 3,840 px per edge; 655,360-8,294,400 pixels; 1:3-3:1 ratio; above 2,560x1,440 is experimental — OpenAI studio envelope | Custom WIDTHxHEIGHT; up to 3,840 px per edge; 655,360-8,294,400 pixels; 1:3-3:1 ratio; above 2,560x1,440 is experimental |
| Reference-image request ceiling | Up to 16 PNG, WebP, or JPG images, each under 50 MB — OpenAI studio envelope | Up to 16 PNG, WebP, or JPG images, each under 50 MB |
| Transparent background status | Supported with PNG or WebP — OpenAI studio envelope | Available in preview with PNG or WebP |
| Where to run the 2.5-to-2 workflow | Generate with the newer 2.5 family directly on Vidofy.ai | Generate with the established 2 model directly on Vidofy.ai |
Turn the Differences Into a Workflow Choice
Choose the 2.5 profile by bottleneck
The newer family does not represent one universal speed-and-quality tier. Start with Flare when rapid iteration is the priority and test Sunburst when dense layouts, fine product geometry, or precision-sensitive work fails your quality threshold; evaluate both with the same brief rather than relying on the version number alone.
Separate model capacity from page controls
OpenAI documents a broad developer specification for custom dimensions, reference inputs, quality levels, and transparency, but those settings should not be assumed to exist in this interface unless they are displayed. Build a concise standalone prompt first, then use only the controls presented for the active generation workflow.
Choose by Quality Threshold, Not Version Number
Use this quick guidance to pick the best option for your workflow.
When to choose each: Use the newer family when you need more quality headroom for natural materials, information-rich layouts, transparent assets, or tightly controlled edits. Keep the established model in workflows where its existing output already passes your text, geometry, and consistency checks and the additional quality modes are unnecessary.
Generate a Finished Image in Four Moves
Write, configure, generate, and refine your image in four focused steps.
Step 1: Define the finished asset
Describe the subject, intended use, composition, exact copy, visual style, and details that must be present or excluded.
Step 2: Choose the displayed controls
Select the model and any page options shown for the active workflow, matching them to the image's destination and quality needs.
Step 3: Generate the complete image
Submit the brief and let the selected model render the scene, layout, typography, and material treatment together.
Step 4: Inspect and refine
Check copy, hands, labels, object geometry, and composition, then revise one weak area and generate again if needed.
Frequently Asked Questions
What is the 2.5 image family best at for professional image work?
Its standout strength is combining sharper photoreal detail with more controlled editing: OpenAI highlights natural light, richer textures, subject preservation, focused changes, and stronger consistency across refinements. It is especially useful for polished product scenes, information-rich designs, and assets where visual continuity matters.
Does GPT Image 2.5 support transparent backgrounds?
OpenAI documents transparent backgrounds for both Flare and Sunburst when PNG or WebP is used. This page's confirmed controls do not list a dedicated transparency selector, so use that workflow only when the option appears and verify that the downloaded file contains an actual alpha channel.
GPT Image 2.5 Sunburst vs Flare: which should I choose?
Choose Flare when rapid everyday generation is the priority and its results meet your quality bar; choose Sunburst when complex layouts, product geometry, or precision-sensitive edits need more headroom. OpenAI recommends evaluating both on representative prompts rather than assuming the same tradeoff for every workload.
Can I use the generated product and campaign images commercially?
Commercial use depends on the terms applying to your account and how the asset will be distributed. Review the platform terms and check third-party rights involving trademarks, copyrighted characters, products, and likenesses; this is practical guidance, not legal advice.
How long can my image prompt be on this page?
The prompt field accepts up to 2,048 characters. OpenAI's developer interface documents a 32,000-character ceiling for GPT image models, but that larger capacity is outside this page's field, so compress the brief into subject, composition, copy, style, and constraints.
How do I get more accurate text in posters and packaging?
Put required copy in quotation marks, state how many times it should appear, specify its position and typography, and request no extra words. Check spelling and legibility before publishing because the official prompting guide treats exact text as a required quality-control step rather than a guarantee.
Can I use reference images for subject-preserving edits here?
The creator documents image inputs and improved subject preservation across both 2.5 variants, but reference uploads are not listed among this page's confirmed controls. Use image-led editing only if an upload option is displayed; otherwise describe the complete desired result in a standalone text prompt.
How do credits and watermarks work?
New accounts receive 50 signup credits. The credit cost for each generation is calculated live from the selected model and options; free-account outputs carry a watermark, while paid plans generate without one.
What should I do if an image request is blocked?
Remove abusive, exploitative, or targeting language and rewrite the request around neutral visual details. Safety checks may evaluate the prompt, any image inputs, and the generated result, so changing only one risky phrase may not be enough if the overall request remains disallowed.