# GPT Image 2.5 Sunburst model guide

A practical guide to GPT Image 2.5 Sunburst on GPT Image Hub: OpenAI's precision variant of GPT Image 2.5 for detailed creative work, what it shares with Flare, measured timings and output tokens, and when the extra time is worth it.

URL: https://www.gptimagehub.com/models/gpt-image-2-5-sunburst
Official model ID: gpt-image-2.5-sunburst
Provider: OpenAI
Updated: 2026-10-22

## Direct answer

GPT Image 2.5 Sunburst is the GPT Image 2.5 model OpenAI recommends when precision matters most. It supports the same xhigh and max quality settings, custom resolutions, and transparent backgrounds as Flare, and GPT Image Hub runs it at xhigh by default; in Hub tests it took 47–108 seconds per image and placed every label and line of text exactly as prompted. Choose it for packaging, typography-heavy layouts and intricate illustration; choose Flare when speed matters more.

## Model facts

- Official model ID: gpt-image-2.5-sunburst
- Provider: OpenAI
- Quality settings: low, medium, high, xhigh, max, auto
- Hub quality tiers: 1K, 2K, 4K
- Reference images: Up to 16
- Cost per image: 5–570 credits (≈ $0.005–$0.569 at the Plus pack rate); pricing: https://www.gptimagehub.com/pricing

## Best use cases

- Masked or multi-reference edits where small details must land exactly where the prompt says.
- Detailed creative work such as packaging, typography-heavy layouts, and intricate illustration.
- Final renders at xhigh or max once a composition has been approved on a faster model.

## Where to be careful

- High-volume drafting where latency matters; OpenAI positions Flare as the faster default.
- Resolutions above 2560×1440, which OpenAI labels experimental for the 2.5 models.

## Prompting guidance

- Describe edits as explicit preserve-and-change instructions; precision is the reason to pick this model.
- When using a mask, keep it the same format and size as the source image with an alpha channel; the mask applies to the first input image.
- Use xhigh or max only for the final pass, since those settings produce more billed output tokens.
- Quote any on-image text exactly and keep it short.

## Example prompts

```text
Edit the reference packaging render: keep the box geometry and lighting, replace the front-panel label with the attached label design at exact scale, no other changes.
```

```text
Create a 1024x1536 editorial illustration of a botanical cross-section of a fig, labeled with five short hand-lettered captions, muted sage and plum palette, paper texture.
```

```text
Using the two reference photos, generate a precise before-and-after pair of the same living room with the sofa recolored to ochre and nothing else changed.
```

## Sources

- [OpenAI image generation guide](https://developers.openai.com/api/docs/guides/image-generation)
- [OpenAI API changelog (GPT Image 2.5, 8 September 2026)](https://developers.openai.com/api/docs/changelog)
- [OpenAI announcement: Introducing ChatGPT Images 2.5](https://openai.com/index/introducing-chatgpt-images-2-5/)

## FAQ

### Is GPT Image 2.5 Sunburst available on GPT Image Hub?

Yes. GPT Image 2.5 Sunburst is selectable in the GPT Image Hub generator with 1K, 2K and 4K tiers, and the Hub sends OpenAI's xhigh quality setting by default. Its credit cost per image is listed on the pricing page.

### When should I pick Sunburst over Flare?

Pick Sunburst for edits and detailed creative work where precision matters most, and accept longer generation times. Pick Flare for fast, high-quality everyday generation.

### Does Sunburst support the same sizes and quality settings as Flare?

Yes. OpenAI's image generation guide lists the same quality settings (low, medium, high, xhigh, max, auto) and the same custom-size constraints for both GPT Image 2.5 models.