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Qwen Image 2.1 Provs.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.

Test images

Same task, the first image of each. The task with the biggest difference is preselected.

Qwen Image 2.1 Pro: Typography and layout, first image from the fixed test run
Qwen Image 2.1 Pro38 out of 100
Luma Uni-1.1: Typography and layout, first image from the fixed test run
Luma Uni-1.167 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

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

Qwen Image 2.1 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.046000, generated Nov 1, 2026, 8:37 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 2.1 Pro image SHA 256: 5cc1b66564896a15198281314423f63a70fd897c4542588230dfe0e946beb76c

Luma Uni-1.1 image SHA 256: 4210462a5210fcde39e1f78167cb160cd3966176012d0ef2c187c6490d6a47e4

Infographic

Qwen Image 2.1 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.046000, generated Nov 1, 2026, 8:37 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 2.1 Pro image SHA 256: f1eee1f8f0d3355879d5c91b7ae006a95b0511a37f7382b8f6241cb22b3959a0

Luma Uni-1.1 image SHA 256: fef94f2000cb22c90b2a147753ace395ee6c14f3e803e0cc88376556dd5267bc

Product photography

Qwen Image 2.1 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.046000, generated Nov 1, 2026, 8:36 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 2.1 Pro image SHA 256: 08d93301c324d132b3f5df149f95d57d725c068e6f15b193521f1eb253a1f176

Luma Uni-1.1 image SHA 256: 9e31a8397f6dd1f0a09a0440510edcdbfbac5470f75a78ec6c6b67783099e5c2

Typography and layout

Qwen Image 2.1 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.046000, generated Nov 1, 2026, 8:36 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 2.1 Pro image SHA 256: 31be32c6b34f27d2ff60eae3979c211ba8c2e0296595ec13e62f6f249c967058

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 2.1 Pro

not in the arena

n/a

Luma Uni-1.1

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
62

Qwen Image 2.1 Pro

Rank 49 of 108

66

Luma Uni-1.1

Rank 33 of 108

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

Qwen Image 2.1 Pro

no API price

n/a

Luma Uni-1.1

no API price

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.

Qwen Image 2.1 Pro

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: API.
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 3, 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.

KennzahlQwen Image 2.1 ProLuma 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 1006266
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition3867
Product photographyMaterials, reflections, and fine details8360
Character and detailAnatomy, clothing, and spatial consistency6549
InfographicNumbers, labels, and visual organization6289
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
Releasedn/aMay 11, 2026
Weightsopen means: runs locallyunknownunknown
AccessAPIAPI
Parametersnot publishednot published
Largest output2Knot consistently published
Plans in Germanynaming exactly this modeln/a6

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

Sources: Qwen Image 2.1 Pro 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 2.1 Pro and Luma Uni-1.1 from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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