GPT Image 2.5 Sunburst

OpenAI's most capable image model for high-quality generation and precision editing.

Internal PreviewMost CapablePrecision Editing

Positioning

Maximum capability

For complex generation and precision editing

Input Types

Text + images

Generate or edit with up to 14 reference images

Quality

6 settings

Low through max, plus automatic selection

Execution

Sync + async

Wait for a direct response, or poll and receive callbacks

Model Codegpt-image-2.5-sunburst

Playground

Model Code

gpt-image-2.5-sunburst

Reference inputs

Reference Images0/14

Click or drag

Enter your prompt here...

Resolution

Resolution (sent to backend)

Aspect Ratio

Aspect Ratio (sent to backend)

Quality

Quality (sent to backend)

Output Format

Output format (sent to backend)

Output

No output yet

Pricing

Usage Metric	Standard Price
Text input	$45.9$5 / 1M tokens10% off
Image input	$72.9$8 / 1M tokens10% off
Image output	$270.9$30 / 1M tokens10% off

Text input · $4.5 · 1M tokens

Image input · $7.2 · 1M tokens

Image output · $27 · 1M tokens

README

GPT Image 2.5 Sunburst is built for demanding image generation and editing workflows, with synchronous and asynchronous access when instruction following, subject preservation, and editing precision matter most.

GPT Image 2.5 Sunburst is OpenAI's most capable model for image generation and editing. It is intended for complex workflows where editing precision and overall result quality matter more than minimum latency.
The model accepts text and image inputs for generation and editing. ReachAPI supports up to 14 HTTPS reference images, 1K, 2K, and 4K resolution tiers, three standard aspect ratios, and PNG, JPEG, or WebP output.
Quality can be set to low, medium, high, xhigh, max, or auto. Token consumption can differ by quality and image size even though Sunburst and Flare use the same token rates.
This model is currently an Internal Preview on ReachAPI. Use the OpenAI-compatible synchronous API for a direct response, or the asynchronous task API for polling, URL reference images, and optional terminal callbacks.

API

Use the API docs for request format, parameters, and integration details.

OpenAI's most capable image model for high-quality generation and precision editing.

Model Code

gpt-image-2.5-sunburst

View API Docs

API

Endpoint

Synchronous generation

POST https://direct.reachapi.ai/v1/images/generations

Synchronous editing

POST https://direct.reachapi.ai/v1/images/edits

Asynchronous task

POST https://direct.reachapi.ai/v1/images/create

Authentication

Authorization: Bearer YOUR_REACH_API_KEY

Example

Synchronous generation

curl -X POST "https://direct.reachapi.ai/v1/images/generations" \
  -H "Authorization: Bearer YOUR_REACH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.5-sunburst",
    "prompt": "A precise editorial product photograph of a silver watch on slate, soft studio lighting",
    "size": "1536x1024",
    "quality": "high",
    "background": "auto",
    "moderation": "auto",
    "output_format": "png"
  }'

Synchronous editing

curl -X POST "https://direct.reachapi.ai/v1/images/edits" \
  -H "Authorization: Bearer YOUR_REACH_API_KEY" \
  -F "model=gpt-image-2.5-sunburst" \
  -F "prompt=Preserve the watch geometry and replace only the background with dark brushed metal" \
  -F "image[]=@/path/to/watch.png" \
  -F "size=1536x1024" \
  -F "quality=xhigh" \
  -F "output_format=png"

Asynchronous task

curl -X POST "https://direct.reachapi.ai/v1/images/create" \
  -H "Authorization: Bearer YOUR_REACH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.5-sunburst",
    "callback_url": "https://example.com/reachapi/callback",
    "input": {
      "prompt": "A precise editorial product photograph of a silver watch on slate, soft studio lighting",
      "resolution": "2k",
      "aspect_ratio": "3:2",
      "quality": "high",
      "background": "auto",
      "moderation": "auto",
      "output_format": "png"
    }
  }'

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