image model comparison
FLUX1.1 [pro] vs GPT Image 2.5 Sunburst
FLUX1.1 [pro] and GPT Image 2.5 Sunburst are both current image models, from Black Forest Labs and OpenAI. On Arena Text-to-Image, FLUX1.1 [pro] scores 1016 Elo and GPT Image 2.5 Sunburst 1425 Elo (Arena, measured October 7, 2026).
Data verified October 12, 2026 · Dataset 2026-10-12
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | FLUX1.1 [pro] | GPT Image 2.5 Sunburst |
|---|---|---|
| Price per image | $0.04 | Not reported |
| Price per 1M input tokens | Not reported | $5 |
| Arena Text-to-Image | 1016 Elo (#9 of 9) | 1425 Elo (#1 of 9) (better) |
| Arena Image Edit | Not measured | 1524 Elo (#1 of 8) |
| Provider | Black Forest Labs | OpenAI |
| Release date | Not reported | September 8, 2026 |
| Access | API only | API only |
| Context window | Not reported | Not reported |
| Max output | Not reported | Not reported |
| Input | text | text, image |
| Output | image | image |
Scores:Arena · 2026-10-12
When to choose each
FLUX1.1 [pro]
Best for
- Hosted FLUX text-to-image generation
Watch out for
- No exact compatible public benchmark snapshot is recorded
GPT Image 2.5 Sunburst
Best for
- Hero imagery, detailed edits and text-heavy graphics where quality matters most
Watch out for
- OpenAI publishes no per-image price, and its GPT Image 2 calculator does not estimate 2.5 token use, so cost per image has to be measured
- No independent image-quality benchmark is recorded here
FLUX1.1 [pro] vs GPT Image 2.5 Sunburst FAQ
Which scores higher on independent benchmarks, FLUX1.1 [pro] or GPT Image 2.5 Sunburst?
GPT Image 2.5 Sunburst leads on Arena Text-to-Image, 1425 Elo to 1016 Elo. Scores are independent evaluations, not either vendor's launch figures.
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Production evaluation
Choosing between FLUX1.1 [pro] and GPT Image 2.5 Sunburst?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty