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- GPT Image 2.5 Flare vs. FLUX.1 [dev]
GPT Image 2.5 Flarevs.FLUX.1 [dev]
Which one is better?
In our own test, GPT Image 2.5 Flare leads. FLUX.1 [dev] has no arena rating yet. FLUX.1 [dev] has no API price.
Same prompt, two images
Same task, the first image of each. The task with the biggest difference is preselected.

![FLUX.1 [dev]: Character and detail, first image from the fixed test run](/_astro-img/fd4225476304d182/1024.webp)
Result for “Character and detail”:GPT Image 2.5 Flare ahead
What the rating looks at: Anatomy, clothing, and spatial consistency.
“Ahead”: better in all three rating rounds. “Slightly ahead”: a higher value, but not in every round.
Test protocol of the images
Both models receive the same archived prompt in exactly one request, and the first result counts. Files are normalized to 1,024 × 1,024 pixels without cropping. Provider resolution, randomness, quality tier and prompt processing can still differ. The images are a practical visual test, not a reconstruction of the arena configuration.
Character and detail
GPT Image 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:53 PM. Source
FLUX.1 [dev]: fal, requested 1024x1024, n=1, seed=1386633789, estimated cost $0.025000, generated Nov 1, 2026, 9:00 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
GPT Image 2.5 Flare image SHA 256: 85b17c41b19389cae3ea073ef582e6065a321d741978e772987d22e3ea3e3b08
FLUX.1 [dev] image SHA 256: 8cc425497844ab30bdb5f4b32b613219d01f1f21289d68fc198bb5980a3c6465
Infographic
GPT Image 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:53 PM. Source
FLUX.1 [dev]: fal, requested 1024x1024, n=1, seed=1094286267, estimated cost $0.025000, generated Nov 1, 2026, 9:00 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
GPT Image 2.5 Flare image SHA 256: bc752abfce1c0d27b73e4084c3e7d82c4c0f71e0e5af97a80f4b24326cc4686e
FLUX.1 [dev] image SHA 256: 3d5c50031e545a82fe0617e724937b960d6e77c8371795f99fdf8037a2de8e9c
Product photography
GPT Image 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:53 PM. Source
FLUX.1 [dev]: fal, requested 1024x1024, n=1, seed=1029917942, estimated cost $0.025000, generated Nov 1, 2026, 8:59 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
GPT Image 2.5 Flare image SHA 256: 69fedb7d635d1329c461ff1ee9e5cf8384119e218e3b3bdb93b9e11f728335d8
FLUX.1 [dev] image SHA 256: 2932ee8c5af8a92655a9a9c4ad9ff782d366a51b9dad5553d84fe241d084d5c0
Typography and layout
GPT Image 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:52 PM. Source
FLUX.1 [dev]: fal, requested 1024x1024, n=1, seed=1184329997, estimated cost $0.025000, generated Nov 1, 2026, 8:59 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
GPT Image 2.5 Flare image SHA 256: cc90d54a99e1bad9e0cc8e4196746fb1d56a2fdd2a9ee101dbbf270ef5e4b6a8
FLUX.1 [dev] image SHA 256: 5a33abcfb19aa0d6d544ad7beb0ce59f51382a9418b5420edcc7aa553d578382
The numbers at a glance
GPT Image 2.5 Flare
Rank 2 of 22
FLUX.1 [dev]
not in the arena
GPT Image 2.5 Flare
Rank 32 of 74
FLUX.1 [dev]
Rank 59 of 74
GPT Image 2.5 Flare
expensive
FLUX.1 [dev]
no API price
Ranks among the 22 image models with an arena rating and the 74 with a GraduallyBench run; prices compared with 28 models with an API price.
GPT Image 2.5 Flare
- Subscription
- No OpenAI subscription includes this model. Through other providers from ≈ €6.39 a month (ElevenLabs Starter, with limited credits). 61 plans in Germany.
- Via API
- $0.21 per image, 100 images $21.07.
FLUX.1 [dev]
- Subscription
- No Black Forest Labs subscription includes this model. Through other providers from ≈ €9.59 a month (Krea Basic, with limited credits). 6 plans in Germany.
- Via API
- No API price known. Access: API, local.
- License
- Open weights, Older T2I checkpoint under a non-commercial license; hosted BFL API remains documented.
Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.
Arena rating (LMArena) from Oct 28, 2026 · GraduallyBench from Nov 1, 2026 · API prices from Oct 28, 2026 · Subscription database from Sep 29, 2026 (34 days old)
All data side by side
The better value is bold. For ratings only when the gap is clear.
| Kennzahl | GPT Image 2.5 Flare | FLUX.1 [dev] |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 1,401 | n/a |
| Arena rank | Rank 2 of 22 | n/a |
| Arena votesmore votes, a safer rating | 39,218 | n/a |
| GraduallyBenchour own rating, 0 to 100 | 59 | 29 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 48 | 7 |
| Product photographyMaterials, reflections, and fine details | 38 | 40 |
| Character and detailAnatomy, clothing, and spatial consistency | 82 | 40 |
| InfographicNumbers, labels, and visual organization | 66 | 27 |
| API price | ||
| Per imagelower is better | $0.21 | n/a |
| 100 images | $21.07 | n/a |
| Profile | ||
| Released | Sep 8, 2026 | n/a |
| Weightsopen means: runs locally | proprietary | openOlder T2I checkpoint under a non-commercial license; hosted BFL API remains documented |
| Access | API | API, local |
| Parameters | not published | 12 billion |
| Largest output | not consistently published | not consistently published |
| Plans in Germanynaming exactly this model | 61 | 6 |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: GPT Image 2.5 Flare model source (verified Sep 22, 2026) · FLUX.1 [dev] model source, status source (verified Nov 1, 2026)
Arena ratings by category
From blind votes on LMArena. “Ahead” means the lead is clear.
No shared arena score in the stored snapshot
The stored benchmark database contains no measurement for GPT Image 2.5 Flare and FLUX.1 [dev] from the same arena and category. Older model versions are not used as substitutes.
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