GPT Image 2.5 Flare vs Sunburst
Speed or precision? The practical differences between gpt-image-2.5-flare and gpt-image-2.5-sunburst — and how to pick the right one for each job.
GPT Image 2.5 is not one model — it is a family with two API models. Flare is the speed-optimized option; Sunburst is the quality-first option. They share the same token pricing, the same API surface, and the same quality settings, so the right question is not "which is better" but "which one passes your quality bar at the lowest total cost".
| Flare (gpt-image-2.5-flare) | Sunburst (gpt-image-2.5-sunburst) | |
|---|---|---|
| Positioning | Small, speed-optimized model for fast, high-quality everyday generation | Quality-first base model for maximum quality and strict precision edits |
| Speed | Fast — OpenAI reports up to 50% lower latency than GPT Image 2 (vendor claim) | Slower — optimized for fidelity, not throughput |
| Quality | Comparable to GPT Image 2 or better | Higher than GPT Image 2; strongest at identity, product geometry, and typography retention |
| Best for | Social content, e-commerce exploration, prototypes, bulk generation | Final ad assets, faces and characters, dense layouts, long edit chains |
| Token price | Same as Sunburst ($5/M text in, $8/M image in, $30/M image out) | Same as Flare — per-image cost differs by size, quality, and retries, not by model rate |
How to choose (the practical workflow)
- Start with Flare if you already have a passing quality bar from GPT Image 2 — then verify that the faster path still passes.
- Start with Sunburst when the job involves strict product geometry, faces or character identity, dense on-image text, or long multi-step edit chains.
- Route, don't rank. Run everything on Flare, upgrade only the failing samples to Sunburst. Once Sunburst passes, re-test the same samples on Flare to see whether the upgrade was really necessary.
- Measure per accepted image. Same token price does not mean same cost: retries, reference images, and quality settings change the bill. Track cost per approved asset, not per attempt.
Model facts on this page were last checked on October 1, 2026 against OpenAI's announcement and developer documentation coverage. OpenAI updates models and pricing regularly — always confirm current details on OpenAI's official pages before making purchase decisions.