Luma Uni-1.1 Maxvs.MOSS-Image-SFT

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: Typography and layout, first image from the fixed test run — Luma Uni-1.1 Max63 out of 100

MOSS-Image-SFT: Typography and layout, first image from the fixed test run — MOSS-Image-SFT13 out of 100

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

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

MOSS-Image-SFT: fal, requested 1024x1024, n=1, seed=2105639597, prompt expansion disabled, estimated charge ceiling $0.055, Fal lists $0.05 per MP, estimated cost $0.055000, generated Nov 1, 2026, 8:45 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 8034ca5627e1a256cdf1d06fc87b583d91d971d02edc9af7df52cd6721d3ea9c

MOSS-Image-SFT image SHA 256: 772013206361c55e807d5004620682a603061ffbabb0cb28e24993a18c0a4ad5

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

MOSS-Image-SFT: fal, requested 1024x1024, n=1, seed=454165776, prompt expansion disabled, estimated charge ceiling $0.055, Fal lists $0.05 per MP, estimated cost $0.055000, generated Nov 1, 2026, 8:45 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 36dea214eb680804d4fea089eec3d4f10a4bf7b7a71c7a80f92313a37e8c2f73

MOSS-Image-SFT image SHA 256: f46b17df7becc603d27762b2d235128ffc30f5722f51e8d50cd6df4723409dd9

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

MOSS-Image-SFT: fal, requested 1024x1024, n=1, seed=1064044164, prompt expansion disabled, estimated charge ceiling $0.055, Fal lists $0.05 per MP, estimated cost $0.055000, generated Nov 1, 2026, 8:45 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 4890cdf8b858c5740124e3b2ba038b73f6a35decc7e3e3d920890462b6e89c2b

MOSS-Image-SFT image SHA 256: ae1015034efbde73cece799521a3a2e98ad82a8362eaf97f5bc1266e13386d57

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

MOSS-Image-SFT: fal, requested 1024x1024, n=1, seed=1635014357, prompt expansion disabled, estimated charge ceiling $0.055, Fal lists $0.05 per MP, estimated cost $0.055000, generated Nov 1, 2026, 8:44 PM. Source

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

Luma Uni-1.1 Max image SHA 256: d2a6162d544def0a283ed62f939b33252636d296a21142111851ecdedd2989d3

MOSS-Image-SFT image SHA 256: 61feaf0c1af07a1cc8dd874c51dc8e86b5bfc271042b8e25f2512cb5a03ec51d

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

MOSS-Image-SFT

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Luma Uni-1.1 Max

Rank 19 of 74

MOSS-Image-SFT

Rank 52 of 74

Price per imagedollars through the API · lower is better

n/a

Luma Uni-1.1 Max

no API price

n/a

MOSS-Image-SFT

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.

MOSS-Image-SFT

Subscription: n/a No plan in Germany names exactly this model.
Via API: No API price known. Access: local.
License: Open weights.

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	MOSS-Image-SFT
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	41
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	63	13
Product photographyMaterials, reflections, and fine details	56	58
Character and detailAnatomy, clothing, and spatial consistency	64	17
InfographicNumbers, labels, and visual organization	69	75
API price
Per imagelower is better	n/a	n/a
100 images	n/a	n/a
Profile
Released	May 2026	Oct 16, 2026
Weightsopen means: runs locally	proprietary	open
Access	API, Web app	local
Parameters	not published	5 billion
Largest output	2K	not consistently published
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) · MOSS-Image-SFT 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 MOSS-Image-SFT from the same arena and category. Older model versions are not used as substitutes.

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First image modelSecond image model

More matchups

Compare Luma Uni-1.1 Max and MOSS-Image-SFT 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

MOSS-Image-SFT

All data side by side

Arena ratings by category

No shared arena score in the stored snapshot

Compare another matchup

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