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- GPT Image 1.5 vs. FLUX.2 Pro
GPT Image 1.5vs.FLUX.2 Pro
Which one is better?
In our own test both are on par. In the arena, GPT Image 1.5 leads. Both are in the lower half there, though. GPT Image 1.5 costs 4.4 times as much per image.
Test images
Same task, the first image of each. The task with the biggest difference is preselected.


Result for “Infographic”:GPT Image 1.5 ahead
What the rating looks at: Numbers, labels, and visual organization.
“Ahead”: better in all three rating rounds. “Slightly ahead”: a higher value, but not in every round.
Test protocol of the images
Each test attempt uses the same archived prompt and one request. The first output of that attempt counts. Repeats after technical test failures are disclosed for the affected images. 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 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:17 PM. Source
FLUX.2 Pro: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:30 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
GPT Image 1.5 image SHA 256: 0dff52ccd39400ac66ac8870c9ea937512ff1474688e70118688f420c38c2296
FLUX.2 Pro image SHA 256: 9eec1a6900b6031703d2e797b93c2aba6c5f45b4807b560a0bf1e37eac9e20f2
Infographic
GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:17 PM. Source
FLUX.2 Pro: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:31 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
GPT Image 1.5 image SHA 256: 1c9ff59c32621c8b48b002dacb0ae66487262280c7c0a5b3d6456c81b248ebe9
FLUX.2 Pro image SHA 256: ea47f772cdfa26bf21528ae7e09d245eb7a3be7d3185af15cedd7d21acdfbb09
Product photography
GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:16 PM. Source
FLUX.2 Pro: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:30 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
GPT Image 1.5 image SHA 256: 67cfa2f324447027ceb5f82e9446d40a1395b46ce425890a74606b4d97731cf6
FLUX.2 Pro image SHA 256: 4d9b922f59b329c5ac3532222c8e340e7fdcb1920ce6f03ad9299f25a6beec43
Typography and layout
GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 1:59 PM. Source
FLUX.2 Pro: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 2:02 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
GPT Image 1.5 image SHA 256: 6a4cec86850fd371b65274198e2bf630b3cf36a096f9fb953d4bfe17c3222ebe
FLUX.2 Pro image SHA 256: 5a5d8ccd657d7522bc39fdec4b0aecf198b42c282a5aefde9461239dfe5c0396
The numbers at a glance
GPT Image 1.5
Rank 13 of 21
FLUX.2 Pro
Rank 17 of 21
GPT Image 1.5
Rank 29 of 108
FLUX.2 Pro
Rank 41 of 108
GPT Image 1.5
expensive
FLUX.2 Pro
cheap
Ranks among the 21 image models with an arena rating and the 108 with a GraduallyBench run; prices compared with 28 models with an API price.
GPT Image 1.5
- Subscription
- No OpenAI subscription includes this model. Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 42 plans in Germany.
- Via API
- $0.13 per image, 100 images $13.30.
FLUX.2 Pro
- Subscription
- No Black Forest Labs subscription includes this model. Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 43 plans in Germany.
- Via API
- $0.03 per image, 100 images $3.
Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.
Arena rating (LMArena) from Nov 6, 2026 · GraduallyBench from Nov 3, 2026 · API prices from Nov 6, 2026 · Subscription database from Sep 29, 2026 (38 days old)
All data side by side
The better value is bold. For ratings only when the gap is clear.
| Kennzahl | GPT Image 1.5 | FLUX.2 Pro |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 1,236 | 1,153 |
| Arena rank | Rank 13 of 21 | Rank 17 of 21 |
| Arena votesmore votes, a safer rating | 173,798 | 226,242 |
| GraduallyBenchour own rating, 0 to 100 | 68 | 65 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 60 | 69 |
| Product photographyMaterials, reflections, and fine details | 52 | 58 |
| Character and detailAnatomy, clothing, and spatial consistency | 89 | 87 |
| InfographicNumbers, labels, and visual organization | 72 | 45 |
| API price | ||
| Per imagelower is better | $0.13 | $0.03 |
| 100 images | $13.30 | $3 |
| Profile | ||
| Released | December 2025 | November 2025 |
| Weightsopen means: runs locally | proprietary | proprietary |
| Lifecycle | Marked as deprecated by OpenAI; removed from the API on December 1, 2026 | no notice |
| Access | API, Web app | API, Web app |
| Parameters | not published | not published |
| Largest output | 1,536 × 1,024 pixels | 4 Megapixel |
| Plans in Germanynaming exactly this model | 42 | 43 |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: GPT Image 1.5 model source, status source (verified Aug 15, 2026) · FLUX.2 Pro model source (verified Sep 24, 2026)
Arena ratings by category
From blind votes on LMArena. “Ahead” means the lead is clear.
Artificial Analysis from Nov 6, 2026 · LMArena from Nov 6, 2026
All individual values with sources
| Rating | GPT Image 1.5 | FLUX.2 Pro | Source |
|---|---|---|---|
| Text to Image Arena | 1,124 | 1,003 | Artificial AnalysisRetrieved Nov 6, 2026 |
| Image Editing Arena | 1,116 | 1,011 | Artificial AnalysisRetrieved Nov 6, 2026 |
| Text to Image: 3D modeling | 1,218 | 1,145 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Agentic image generation | 1,237 | 1,137 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Art | 1,225 | 1,159 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Cartoon | 1,244 | 1,159 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Commercial design | 1,238 | 1,154 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Overall | 1,236 | 1,153 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Photorealism | 1,247 | 1,152 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Portraits | 1,259 | 1,144 | LMArenaRetrieved Nov 6, 2026 |
| Text to Image: Text rendering | 1,251 | 1,154 | LMArenaRetrieved Nov 6, 2026 |
| Image Editing: Agentic image generation | 1,360 | 1,212 | LMArenaRetrieved Nov 6, 2026 |
| Image Editing: Multi-image editing | 1,342 | 1,240 | LMArenaRetrieved Nov 6, 2026 |
| Image Editing: Agentic multi-image editing | 1,359 | 1,182 | LMArenaRetrieved Nov 6, 2026 |
| Image Editing: Overall | 1,368 | 1,248 | LMArenaRetrieved Nov 6, 2026 |
Published specialist tests
This pair shares 16 results from published research benchmarks.
GRADE from Aug 26, 2026 · GEBench from Aug 26, 2026
All individual values with sources
| Rating | GPT Image 1.5 | FLUX.2 Pro | Source |
|---|---|---|---|
| GRADE reasoning | 55 / 100 | 39 / 100 | GRADERetrieved Aug 26, 2026 |
| GRADE consistency | 82 / 100 | 56 / 100 | GRADERetrieved Aug 26, 2026 |
| GRADE readability | 91 / 100 | 70 / 100 | GRADERetrieved Aug 26, 2026 |
| GRADE accuracy | 16 / 100 | 4 / 100 | GRADERetrieved Aug 26, 2026 |
| GEBench Chinese, single-step | 84 / 100 | 69 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench Chinese, multi-step | 57 / 100 | 55 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench Chinese, fictional app | 60 / 100 | 58 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench Chinese, real app | 56 / 100 | 55 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench Chinese, grounding | 53 / 100 | 50 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench Chinese, overall | 63 / 100 | 58 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench English, single-step | 81 / 100 | 61 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench English, multi-step | 59 / 100 | 52 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench English, fictional app | 64 / 100 | 50 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench English, real app | 59 / 100 | 47 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench English, grounding | 49 / 100 | 46 / 100 | GEBenchRetrieved Aug 26, 2026 |
| GEBench English, overall | 63 / 100 | 51 / 100 | GEBenchRetrieved Aug 26, 2026 |
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