GPT-Image-2.5 Flare vs. Sunburst (2026): One Price, Two Profiles — Which Image Task Gets Which Model

Our Recommendation

There is no universal winner — and that is the point of this comparison. The models cost the same, so the shortcut runs through the task profile, not the price list. Flare wins where seconds-per-image compound: volume generation, campaign variants, agent loops with many edits — two to four times the speed (per Manus' evaluation) pays directly into throughput, and the improved transparent-background output covers batched UI assets. Sunburst wins where a single image faces sign-off: logos with small type, diagrams, dense layouts, product shots — the best instruction following in the 2.5 line often saves the third rework pass. The Context Studios switch rule: start every pipeline type on Flare, the official default. Run ten representative tasks, count reworks per task. Above a one-third rework rate, move exactly that task class to Sunburst and keep the rest on Flare. At identical list price the math is always: two or three precision images per thousand volume images, everything else runs on the faster model. Watch the ecosystem too: Adobe has confirmed the 2.5 models for Firefly, so the choice matters in mixed stacks as well.