Luma Uni-1.1vs.FLUX.1 Kontext [max]
Which one is better?
In our own test, Luma Uni-1.1 leads. Neither is in the arena. Neither has an API price.
Same prompt, two images
Same task, the first image of each. The task with the biggest difference is preselected.
![FLUX.1 Kontext [max]: Infographic, first image from the fixed test run](/_astro-img/23f4b014668efc78/1024.avif)
Result for “Infographic”:Luma Uni-1.1 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
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
Luma Uni-1.1: fal, aspect ratio 1:1, n=1, seed=provider random, Fal schema does not expose an output-resolution parameter; require square output of at least 1024px, estimated cost $0.042000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:49 PM. Source
FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=2413815648, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Luma Uni-1.1 image SHA 256: 4210462a5210fcde39e1f78167cb160cd3966176012d0ef2c187c6490d6a47e4
FLUX.1 Kontext [max] image SHA 256: 11ac5858ed56d1db44139faebd83b9aa3e13fb9e8cadd6748d4bfc9a20a7b85b
Infographic
Luma Uni-1.1: fal, aspect ratio 1:1, n=1, seed=provider random, Fal schema does not expose an output-resolution parameter; require square output of at least 1024px, estimated cost $0.042000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:50 PM. Source
FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=372152929, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Luma Uni-1.1 image SHA 256: fef94f2000cb22c90b2a147753ace395ee6c14f3e803e0cc88376556dd5267bc
FLUX.1 Kontext [max] image SHA 256: cf1d34943829e1361560aee05277bb096e19399f7d231ee114ba1e6d3a865787
Product photography
Luma Uni-1.1: fal, aspect ratio 1:1, n=1, seed=provider random, Fal schema does not expose an output-resolution parameter; require square output of at least 1024px, estimated cost $0.042000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:47 PM. Source
FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=314349008, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Luma Uni-1.1 image SHA 256: 9e31a8397f6dd1f0a09a0440510edcdbfbac5470f75a78ec6c6b67783099e5c2
FLUX.1 Kontext [max] image SHA 256: 85f361575b24f97fc43e88b3fdc8e6c12fb1077d95f11d1704447222bac13f59
Typography and layout
Luma Uni-1.1: fal, aspect ratio 1:1, n=1, seed=provider random, Fal schema does not expose an output-resolution parameter; require square output of at least 1024px, estimated cost $0.042000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:46 PM. Source
FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=4136483547, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:02 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Luma Uni-1.1 image SHA 256: 97710d52e2207b2bf7db070cf1dfa54af5ce79fd7a1fec12bdb1616c648c01f4
FLUX.1 Kontext [max] image SHA 256: f0591cb9970c7608e7bf3a52c32c88301b622673e3c250fd9dd41d32e1673f1c
The numbers at a glance
Luma Uni-1.1
not in the arena
FLUX.1 Kontext [max]
not in the arena
Luma Uni-1.1
Rank 14 of 74
FLUX.1 Kontext [max]
Rank 65 of 74
Luma Uni-1.1
no API price
FLUX.1 Kontext [max]
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.
Luma Uni-1.1
- Subscription
- No Luma AI subscription includes this model. Through other providers from €19.04 a month (Magnific Premium, with limited credits). 6 plans in Germany.
- Via API
- No API price known. Access: API.
- Weights
- unknown.
FLUX.1 Kontext [max]
- Subscription
- No Black Forest Labs subscription includes this model. Through other providers from ≈ €12.78 a month (Leonardo.Ai Essential). 15 plans in Germany.
- Via API
- No API price known. Access: API.
- Weights
- unknown.
Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.
GraduallyBench from Nov 1, 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 | Luma Uni-1.1 | FLUX.1 Kontext [max] |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | n/a | n/a |
| Arena rank | n/a | n/a |
| Arena votesmore votes, a safer rating | n/a | n/a |
| GraduallyBenchour own rating, 0 to 100 | 67 | 22 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 64 | 25 |
| Product photographyMaterials, reflections, and fine details | 59 | 9 |
| Character and detailAnatomy, clothing, and spatial consistency | 48 | 9 |
| InfographicNumbers, labels, and visual organization | 95 | 44 |
| API price | ||
| Per imagelower is better | n/a | n/a |
| 100 images | n/a | n/a |
| Profile | ||
| Released | May 11, 2026 | n/a |
| Weightsopen means: runs locally | unknown | unknown |
| Lifecycle | no notice | Edit-first model line; API also supports image creation from text, but the main GraduallyBench tasks are not edit-based |
| Access | API | API |
| Parameters | not published | not published |
| Largest output | not consistently published | not consistently published |
| Plans in Germanynaming exactly this model | 6 | 15 |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Luma Uni-1.1 model source (verified Nov 1, 2026) · FLUX.1 Kontext [max] 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 Luma Uni-1.1 and FLUX.1 Kontext [max] from the same arena and category. Older model versions are not used as substitutes.
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