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Luma Uni-1.1vs.FLUX.1 Kontext [pro]

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.

Luma Uni-1.1: Infographic, first image from the fixed test run
Luma Uni-1.195 out of 100
FLUX.1 Kontext [pro]: Infographic, first image from the fixed test run
FLUX.1 Kontext [pro]33 out of 100

Result for “Infographic”:Luma Uni-1.1 ahead

Prompt given to both modelsCreate a square German infographic titled SO FUNKTIONIERT PHOTOSYNTHESE. Show exactly four numbered steps in this order: 1 LICHT, 2 WASSER, 3 CO₂, 4 ZUCKER + SAUERSTOFF. Use a clean editorial science style with one plant cross-section, simple arrows, high contrast, legible labels, and no other text.

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 [pro]: fal, aspect ratio 1:1, n=1, seed=1661036738, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Luma Uni-1.1 image SHA 256: 4210462a5210fcde39e1f78167cb160cd3966176012d0ef2c187c6490d6a47e4

FLUX.1 Kontext [pro] image SHA 256: a2b5cfe16c918f33c56d04a35a8cea5433ea17db1f41ab3f3ccefdc20791a3d1

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 [pro]: fal, aspect ratio 1:1, n=1, seed=261169301, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Luma Uni-1.1 image SHA 256: fef94f2000cb22c90b2a147753ace395ee6c14f3e803e0cc88376556dd5267bc

FLUX.1 Kontext [pro] image SHA 256: 8ec7449c0fd1b68f984aaa28dda6cb4d74a053cd88af42c10d79fac31980ffbe

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 [pro]: fal, aspect ratio 1:1, n=1, seed=3307245438, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Luma Uni-1.1 image SHA 256: 9e31a8397f6dd1f0a09a0440510edcdbfbac5470f75a78ec6c6b67783099e5c2

FLUX.1 Kontext [pro] image SHA 256: 367531e667dd9156abe9666dc571fc122174a66788d726b2b4ab06d9c8226d9d

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 [pro]: fal, aspect ratio 1:1, n=1, seed=4284980986, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, 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 [pro] image SHA 256: d14a3243cc28d6996fd549722f34d49227f278151c441fa635f955e1c8140414

The numbers at a glance

Arena ratingfrom votes by users · higher is better
n/a

Luma Uni-1.1

not in the arena

n/a

FLUX.1 Kontext [pro]

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
67

Luma Uni-1.1

Rank 14 of 74

31

FLUX.1 Kontext [pro]

Rank 57 of 74

Price per imagedollars through the API · lower is better
n/a

Luma Uni-1.1

no API price

n/a

FLUX.1 Kontext [pro]

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 [pro]

Subscription
No Black Forest Labs subscription includes this model. Through other providers from ≈ €6.39 a month (ElevenLabs Starter, with limited credits). 23 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.

KennzahlLuma Uni-1.1FLUX.1 Kontext [pro]
Ratings
Arena ratingfrom votes by users, higher is bettern/an/a
Arena rankn/an/a
Arena votesmore votes, a safer ratingn/an/a
GraduallyBenchour own rating, 0 to 1006731
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition6414
Product photographyMaterials, reflections, and fine details5921
Character and detailAnatomy, clothing, and spatial consistency4855
InfographicNumbers, labels, and visual organization9533
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedMay 11, 2026n/a
Weightsopen means: runs locallyunknownunknown
Lifecycleno noticeEdit-first model line; API also supports image creation from text, but the main GraduallyBench tasks are not edit-based
AccessAPIAPI
Parametersnot publishednot published
Largest outputnot consistently publishednot consistently published
Plans in Germanynaming exactly this model623

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 [pro] 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 [pro] from the same arena and category. Older model versions are not used as substitutes.

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