SUN, NOVEMBER 08, 2026
Independent · In‑Depth · Practitioner‑Tested
Image AI

Flare vs Sunburst: Which Images 2.6 Model to Call

Two models, one release, one price. The difference is iteration speed against edit consistency.

🕐 6 min read 👁 16 views 📅 Nov 8, 2026
The short answer
● Same release — both are Images 2.6, launched 4 November
● Flare — speed, drafts, as little as six seconds at low quality
● Sunburst — quality and consistency across repeated edits
● Same price — $30 per million image output tokens
● Pick by — whether you iterate or finish

OpenAI shipped two image models on the same day rather than one, which is the clearest signal yet that image generation has split into two different jobs.

GPT-Image-2.6 Flare GPT-Image-2.6 Sunburst
Tuned for Speed Quality and edit consistency
Best at Quick iteration and drafts Medium and high quality output
Fastest reported Six seconds at low quality Not published
Edit consistency Not its strength The reason it exists
Price $30 per million output tokens $30 per million output tokens
GIF and SVG Yes, same Images 2.6 features Yes, same Images 2.6 features

How to choose

If you are exploring and will throw most outputs away, Flare. The six-second figure is a best case at low quality, but the gap is real and iteration speed compounds.

If you are producing a final asset, or making several edits to the same image and need the subject to stay recognisable between them, Sunburst. Consistency across repeated edits is the specific thing it is tuned for, and it is the thing Flare is not.

Since the published rate is the same per million output tokens, the cost difference comes from output size and quality rather than the model you pick. Choosing Sunburst for a draft costs you time; choosing Flare for a final asset costs you a redo.

What applies to both

Both carry the Images 2.6 feature set: 50% faster generation than the previous version, GIF creation, and SVG export. SVG requires n=1 and supports neither streaming, partial images, output compression nor the prompt rewriter, and the image-edit endpoint will not return it at all. That restriction is the same whichever model you call.

Sources: Hugging Face · OpenAI.

Published 8 November 2026. Every figure above was checked against the reporting linked here on the same day.

⚖ Our Verdict

Flare while you are iterating, Sunburst for anything final or edited more than once. Same price per million output tokens either way.