GPT Image 2.5 Sunburst Text to image API

openai / GPT Image 2.5 Sunburst

Use GPT Image 2.5 Sunburst for prompt-based creation or reference-guided image editing.

Gallery images illustrate prompt ideas. Generate your own result to evaluate this model.

Pricing

Resolution pricing

1K image
$0.03
2K image
$0.05
4K image
$0.08
Input

Prompt, assets, and output parameters form one generation request.

Describe the subject, composition, lighting, and style. For edits, explain what to keep and what to change. Maximum 20,000 characters.
Aspect ratioChoose the output frame for generation or editing.
ResolutionChoose the output image resolution tier.

Playground Examples

Try production-style prompt starters.

Product photography prompt illustration

A refined editorial still-life photograph of a sculptural pale yellow ceramic teapot with two matching cups on a sage green stone table, sunlit apricot curtain, lemons and a linen napkin, warm soft light, realistic ceramic glaze, rich tactile detail, understated premium campaign image. Landscape 16:9. No text, logos or watermark.

Architectural composition prompt illustration

A photorealistic editorial photograph of a tranquil sunken courtyard with curved peach plaster walls, pale limestone steps, a shallow reflecting pool, one sculptural desert tree and soft golden sunlight, carefully balanced spatial composition, exquisite material details, contemporary desert architecture. Landscape 16:9. No people, no text, logos or watermark.

Storybook art prompt illustration

A luminous hand-painted illustration of a traveling greenhouse boat drifting on an emerald mountain lake at sunrise, small wooden cabin, abundant flowering plants, golden mist, delicate reflections, sophisticated storybook gouache textures in peach, jade and butter yellow. Landscape 16:9. No text, logos or watermark.

Model overview

GPT Image 2.5 Sunburst for image generation and reference-guided editing

Create one image from a written brief, or combine your instructions with source images. GPT Image 2.5 Sunburst offers text-to-image and image-edit workflows on the same page, with 1K, 2K, 4K resolution tiers.

GPT Image 2.5 Sunburst generation example
01 · Image generation

Develop a complete visual brief

Describe the subject, material, background, lighting, and camera angle. Product concepts, still lifes, and campaign imagery are useful starting points for exploring your visual direction.

  • Supports Text to image and reference-asset generation workflows.
  • Fits product assets, ad previews, visual direction, and social content tests.
  • Adjust configured inputs, media, and switches before generation.
Reference asset control example
02 · Asset control

Control composition and framing

Choose 1:1, 3:4, 9:16, 4:3, 16:9 for both generation and editing. State the viewpoint, subject placement, and background relationships in your prompt; the resolution tier is selected separately.

Prompt-led generation
Unified model API and result management example
03 · API integration

Explore a visual style with references

The image-edit workflow accepts 1–16 reference images. Explain the role of each reference and specify which subject details, colors, or layout elements should remain.

  • Compare available models from Alibaba, Black Forest Labs, Google, MiniMax, OpenAI, ByteDance, Kuaishou, SJolt AI, Suno, xAI in one place.
  • Copy the request body directly to the server to reduce frontend/backend parameter drift.
  • Failure states, retries, result preview, and review checkpoints stay in the same workflow.

Model characteristics

From a written brief to an asynchronous image task

01

Choose the workflow

Use Text to Image when starting from a prompt. Select Image Edit when source or reference images should guide the result.

02

Write clear edit instructions

List the desired changes and the elements to preserve. Give each reference a clear purpose instead of relying on the upload alone.

03

Select the output

Each task requests one image. Choose the aspect ratio and one of the 1K, 2K, 4K resolution tiers; review the generated result before use.

04

Use the API

Submit a task with your API key, retain data.task_id, and poll the shared task endpoint or supply a top-level webhook for completion.

FAQ

These are the first questions to answer when evaluating this model.

Which workflow should I choose?

Text to Image needs a nonblank prompt. Image Edit also requires 1–16 reference images.

Which reference formats are accepted?

Upload JPG, JPEG, PNG, or WebP images. API requests use public HTTP(S) URLs.

Which frame and resolution options can I select?

Frame options are 1:1, 3:4, 9:16, 4:3, 16:9. Resolution tiers are 1K, 2K, 4K. Defaults are 1:1 and 1K.

How do I receive the generated image?

Poll the task endpoint until it succeeds and read data.output_urls, or use the top-level webhook callback.