image model comparison
FLUX1.1 [pro] vs GPT Image 2
FLUX1.1 [pro] and GPT Image 2 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 1383 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 |
|---|---|---|
| Price per image | $0.04 | Not reported |
| Arena Text-to-Image | 1016 Elo (#9 of 9) | 1383 Elo (#3 of 9) (better) |
| Arena Image Edit | Not measured | 1462 Elo (#3 of 8) |
| Provider | Black Forest Labs | OpenAI |
| Release date | Not reported | Not reported |
| 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
Best for
- API image generation and editing
Watch out for
- No exact compatible public benchmark snapshot is recorded
FLUX1.1 [pro] vs GPT Image 2 FAQ
Which scores higher on independent benchmarks, FLUX1.1 [pro] or GPT Image 2?
GPT Image 2 leads on Arena Text-to-Image, 1383 Elo to 1016 Elo. Scores are independent evaluations, not either vendor's launch figures.
Related comparisons
- FLUX1.1 [pro] vs Gemini 3.1 Flash Image
- FLUX1.1 [pro] vs Gemini 3.1 Flash Lite Image
- FLUX1.1 [pro] vs Gemini 3 Pro Image
- FLUX1.1 [pro] vs GPT Image 2.5 Flare
- FLUX1.1 [pro] vs GPT Image 2.5 Sunburst
- FLUX1.1 [pro] vs grok-imagine-image
- FLUX1.1 [pro] vs Nano Banana 2.1
- Gemini 3.1 Flash Image vs GPT Image 2
- Gemini 3 Pro Image vs GPT Image 2
- GPT Image 2 vs GPT Image 2.5 Flare
Production evaluation
Choosing between FLUX1.1 [pro] and GPT Image 2?
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