OpenAI Premium image generation & editing
GPT Image 2.5 Sunburst
Choose tighter visual control when a finished image matters more than speed.
GPT Image 2.5 Sunburst is an OpenAI image route for premium generation and editing workflows. The TokenHot catalog lists text and reference-image input, image output and a 400K context value. Use it for campaign creative, polished product imagery and multi-turn edits where preserving the subject, composition and visual treatment matters.
- Text + image input
- Image output
- Precision-first editing
The route produces images through the existing image playground and API flow. Exact size, reference and edit parameters remain endpoint-specific; inspect the full pricing and request contract before promising a final asset.
Try this model
Choose an aspect ratio and resolution to generate an image.
gpt-image-2.5-sunburstInput
Generated result
Enter a prompt, choose your settings, and generate.
USD /image
Pricing
| Group | Price |
|---|---|
| default | $0.048 |
| Claud0.7 | $0.0336 |
Public list prices are shown in USD. Final charges may vary by account group and usage tier.
Overview
What is GPT Image 2.5 Sunburst?
A strong image brief says what must remain fixed, what should change and how the output will be judged. Use a reference image to anchor a composition, then review text, identity, edges and export requirements separately.
Sunburst is positioned for precision over iteration speed. Compare it with GPT Image 2.5 Flare on the same prompt and reference when deciding whether extra waiting is worthwhile.
Define the visual job
State audience, placement, focal object and negative constraints before describing style.
Protect the invariant
Separate the subject, composition and details that must remain from the elements the edit is allowed to change.
Inspect beyond the thumbnail
Check text, geometry, identity, edges and export dimensions before using an image in production.
From brief to deliverable
Put GPT Image 2.5 Sunburst to work
Creative and marketing teams
Develop a campaign key visual
Create a controlled visual direction from a brief and reference, with clear space and brand constraints for later design review.
- Tools you need
- Image generation, asset storage and a human design review.
- Keep in mind
- Generated text and brand details require inspection; one image is not campaign approval.
View a task brief
Use the supplied a campaign brief, reference image, palette, aspect ratio and required copy area. to plan develop a campaign key visual. Return a reviewed key-visual direction and candidate image., state the evidence limits and list the checks required before accepting the result. Do not claim an output or interaction was verified without direct evidence.
E-commerce and product teams
Refine a product image
Ask for a targeted change while preserving product geometry, label placement and lighting direction.
- Tools you need
- Reference upload and a visual QA pass.
- Keep in mind
- A reference guides the edit but cannot guarantee exact packaging, fine print or reflections.
View a task brief
Use the supplied a product reference, invariant list, requested edit and output size. to plan refine a product image. Return an edited product image plus a defect checklist., state the evidence limits and list the checks required before accepting the result. Do not claim an output or interaction was verified without direct evidence.
Design and content teams
Iterate without losing the subject
Use a short sequence of edits that names the current image and one change per turn, comparing each accepted result.
- Tools you need
- Image storage, versioning and a reviewer.
- Keep in mind
- Multi-turn consistency should be measured on the actual subject and prompt, not assumed from the model name.
View a task brief
Use the supplied an accepted base image, one edit request per step and a rejection policy. to plan iterate without losing the subject. Return a selected final variant with iteration notes., state the evidence limits and list the checks required before accepting the result. Do not claim an output or interaction was verified without direct evidence.
Capabilities in context
Key features
| Feature | What you get | Why it matters |
|---|---|---|
| Reference editing | Text and image input are listed | Use reference images to guide a focused edit and preserve the invariant list in the request record. |
| Image output | The route produces images | Keep generation, review, export and publication as separate states in the asset workflow. |
| Precision positioning | Catalog copy favors production quality and editing control | Compare accepted edits with Flare when iteration speed or batch volume matters more. |
| Context capacity | 400K tokens shown in the catalog | Large textual briefs still need a concise image-specific instruction and explicit constraints. |
| Pricing unit | Catalog billing unit: image | Use the dynamic table for the public rate and account group; do not hardcode a single cost into the editorial copy. |
The page uses TokenHot catalog metadata and the existing image trial. Output quality, generation time and edit fidelity should be evaluated on your own references.
Audience & fit
Where GPT Image 2.5 Sunburst fits
Campaign and brand teams
Use Sunburst when the image will receive a careful design review and visual consistency matters more than the fastest draft.
Product and e-commerce teams
Keep packaging and geometry constraints explicit, then inspect fine text and edges before publication.
Design systems teams
Version each iteration and compare changes against a fixed invariant list.
Cost context
Plan the cost of a useful result
Count rejected generations
The useful cost is the number of accepted images, including review and reruns, not the price of one request.
Check size tiers
Resolution and edit parameters can affect billing. Use the current table and store the chosen size with the asset.
Keep design review separate
Model output is a candidate asset. Typography, legal marks, accessibility and export checks remain human or application responsibilities.
Use the current pricing table for available rates and account groups. Model IDs and prices come from TokenHot’s catalog; provider pricing and subscriptions are separate.
API
Code examples
curl --location --request POST 'https://api.tokenhot.ai/v1/images/generations' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gpt-image-2.5-sunburst",
"prompt": "A cute baby sea otter",
"size": "1024x1024"
}'Blog
Related Articles
FAQ
Frequently asked questions
What is GPT Image 2.5 Sunburst best suited for?
GPT Image 2.5 Sunburst is suited to the input, output, and capability types listed on this page. Test production workloads before choosing it for a critical system.
How is GPT Image 2.5 Sunburst priced?
Pricing is shown in the pricing section above. Actual cost depends on usage volume, account group, and the request payload.
How can I call GPT Image 2.5 Sunburst?
Use the model ID shown above with one of the supported API protocols. Code examples are provided when usage data is available.
Can Sunburst edit a reference image?
The catalog lists text and image input, and the existing image workflow supports reference input for this model family. Verify the accepted parameter shape for your endpoint.
Is Sunburst always higher quality than Flare?
It is positioned for precision and finished-image quality, but compare the same prompts, references and acceptance checks before making a quality claim.
Does the model guarantee correct text in an image?
No. Inspect every label, number and brand mark before publication.
How is image pricing shown?
TokenHot supplies the current image rate and account groups dynamically. Review the full table for the selected configuration.
Get started
Build with GPT Image 2.5 Sunburst
API