Luma Uni-1.1 Maxvs.Qwen Image 2.1 Turbo

Which one is better?

In our own test both are on par. Neither is in the arena. Neither has an API price.

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

Luma Uni-1.1 Max: Product photography, first image from the fixed test run — Luma Uni-1.1 Max56 out of 100

Qwen Image 2.1 Turbo: Product photography, first image from the fixed test run — Qwen Image 2.1 Turbo84 out of 100

Result for “Product photography”:Qwen Image 2.1 Turbo slightly ahead

Prompt given to both modelsCreate a square premium product photograph of a brushed titanium wristwatch standing upright on dark green marble. The watch has a cream dial, thin black hands set to 10:10, twelve distinct hour markers, a realistic crown, and a dark brown leather strap. Soft window light from the left, controlled reflections, shallow depth of field, no text, no logo, no extra objects.

What the rating looks at: Materials, reflections, and fine details.

“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 Max: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.102000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Aug 14, 2026, 1:47 PM. Source

Qwen Image 2.1 Turbo: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.018400, generated Nov 1, 2026, 8:31 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 8034ca5627e1a256cdf1d06fc87b583d91d971d02edc9af7df52cd6721d3ea9c

Qwen Image 2.1 Turbo image SHA 256: 60c270da7b2ace74fcac4f55b962d4e01fae99265874d25857e2b461c00f3666

Infographic

Luma Uni-1.1 Max: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.102000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Aug 14, 2026, 1:49 PM. Source

Qwen Image 2.1 Turbo: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.018400, generated Nov 1, 2026, 8:31 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 36dea214eb680804d4fea089eec3d4f10a4bf7b7a71c7a80f92313a37e8c2f73

Qwen Image 2.1 Turbo image SHA 256: 0650a13329baa39bb1923594082473a8138ecbe1ea95bb63017e7e1d76a7fafe

Product photography

Luma Uni-1.1 Max: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.102000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Aug 14, 2026, 1:43 PM. Source

Qwen Image 2.1 Turbo: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.018400, generated Nov 1, 2026, 8:30 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 4890cdf8b858c5740124e3b2ba038b73f6a35decc7e3e3d920890462b6e89c2b

Qwen Image 2.1 Turbo image SHA 256: 012d9320a2759329277e1e730e51da03aa4a0d992017a218228f88f07771dc08

Typography and layout

Luma Uni-1.1 Max: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.102000, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Aug 14, 2026, 2:40 PM. Source

Qwen Image 2.1 Turbo: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.018400, generated Nov 1, 2026, 8:30 PM. Source

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

Luma Uni-1.1 Max image SHA 256: d2a6162d544def0a283ed62f939b33252636d296a21142111851ecdedd2989d3

Qwen Image 2.1 Turbo image SHA 256: a052bc14d0b36849b7bd6b38e368bf2bd11d68217ab675dbea3c58d8a62f34dd

The numbers at a glance

Arena ratingfrom votes by users · higher is better

n/a

Luma Uni-1.1 Max

not in the arena

n/a

Qwen Image 2.1 Turbo

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Luma Uni-1.1 Max

Rank 19 of 74

Qwen Image 2.1 Turbo

Rank 13 of 74

Price per imagedollars through the API · lower is better

n/a

Luma Uni-1.1 Max

no API price

n/a

Qwen Image 2.1 Turbo

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 Max

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

Qwen Image 2.1 Turbo

Subscription: n/a No plan in Germany names exactly this model.
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 Max	Qwen Image 2.1 Turbo
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	63	67
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	63	39
Product photographyMaterials, reflections, and fine details	56	84
Character and detailAnatomy, clothing, and spatial consistency	64	53
InfographicNumbers, labels, and visual organization	69	93
API price
Per imagelower is better	n/a	n/a
100 images	n/a	n/a
Profile
Released	May 2026	n/a
Weightsopen means: runs locally	proprietary	unknown
Access	API, Web app	API
Parameters	not published	not published
Largest output	2K	2K
Plans in Germanynaming exactly this model	n/a	n/a

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

Sources: Luma Uni-1.1 Max model source (verified Aug 15, 2026) · Qwen Image 2.1 Turbo 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 Luma Uni-1.1 Max and Qwen Image 2.1 Turbo from the same arena and category. Older model versions are not used as substitutes.

Compare another matchup

First image modelSecond image model

More matchups

Compare Luma Uni-1.1 Max and Qwen Image 2.1 Turbo with other important image models.

View the complete image model comparison

Same prompt, two images

The numbers at a glance

Luma Uni-1.1 Max

Qwen Image 2.1 Turbo

All data side by side

Arena ratings by category

No shared arena score in the stored snapshot

Compare another matchup

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