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Qwen Image 3.0vs.Luma Uni-1.1

Which one is better?

In our own test both are on par. 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.

Qwen Image 3.0: Typography and layout, first image from the fixed test run
Qwen Image 3.023 out of 100
Luma Uni-1.1: Typography and layout, first image from the fixed test run
Luma Uni-1.164 out of 100

Result for “Typography and layout”:Luma Uni-1.1 ahead

Prompt given to both modelsCreate a square editorial poster for an imaginary night train called MONDFALTER. Show the exact German headline MONDFALTER and the exact subline BERLIN NACH LISSABON. Use a restrained midnight-blue and warm-cream palette, one stylized moth, strong Swiss-grid typography, generous negative space, and no additional words or logos.

What the rating looks at: Legible text, hierarchy, and composition.

“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

Qwen Image 3.0: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.030000, generated Nov 1, 2026, 8:34 PM. Source

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

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

Qwen Image 3.0 image SHA 256: 8c9db12ce993a7d600aebd4cbe10d368117fe4495d6ee7155e111e76e47d525a

Luma Uni-1.1 image SHA 256: 4210462a5210fcde39e1f78167cb160cd3966176012d0ef2c187c6490d6a47e4

Infographic

Qwen Image 3.0: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.030000, generated Nov 1, 2026, 8:35 PM. Source

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

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

Qwen Image 3.0 image SHA 256: 4853b8bffa4d6e219e2c3f6b5d070b1d1eb57016a05bd8a5befd81e214018439

Luma Uni-1.1 image SHA 256: fef94f2000cb22c90b2a147753ace395ee6c14f3e803e0cc88376556dd5267bc

Product photography

Qwen Image 3.0: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.030000, generated Nov 1, 2026, 8:33 PM. Source

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

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

Qwen Image 3.0 image SHA 256: 268ca5420bbc1efd428bdafd4da860106f9e2ccb17d3f96b8dbb208e360ed54f

Luma Uni-1.1 image SHA 256: 9e31a8397f6dd1f0a09a0440510edcdbfbac5470f75a78ec6c6b67783099e5c2

Typography and layout

Qwen Image 3.0: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.030000, generated Nov 1, 2026, 8:32 PM. Source

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

Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Qwen Image 3.0 image SHA 256: 09644f0a6d31fa5f78ae43e45544c8013b78e1a22f42c1b54c0142ea6c9cfa83

Luma Uni-1.1 image SHA 256: 97710d52e2207b2bf7db070cf1dfa54af5ce79fd7a1fec12bdb1616c648c01f4

The numbers at a glance

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

Qwen Image 3.0

not in the arena

n/a

Luma Uni-1.1

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
65

Qwen Image 3.0

Rank 15 of 74

67

Luma Uni-1.1

Rank 14 of 74

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

Qwen Image 3.0

no API price

n/a

Luma Uni-1.1

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.

Qwen Image 3.0

Subscription
No Alibaba 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, Web app.
Weights
unknown.

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.

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.

KennzahlQwen Image 3.0Luma Uni-1.1
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 1006567
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition2364
Product photographyMaterials, reflections, and fine details8659
Character and detailAnatomy, clothing, and spatial consistency5948
InfographicNumbers, labels, and visual organization9195
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
Releasedn/aMay 11, 2026
Weightsopen means: runs locallyunknownunknown
AccessAPI, Web appAPI
Parametersnot publishednot published
Largest output2Knot consistently published
Plans in Germanynaming exactly this model66

API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.

Sources: Qwen Image 3.0 model source (verified Nov 1, 2026) · Luma Uni-1.1 model 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 Qwen Image 3.0 and Luma Uni-1.1 from the same arena and category. Older model versions are not used as substitutes.

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