Luma Uni-1.1 Maxvs.AuraFlow v0.3

Which one is better?

In our own test, Luma Uni-1.1 Max leads. 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.

Luma Uni-1.1 Max: Infographic, first image from the fixed test run — Luma Uni-1.1 Max79 out of 100

AuraFlow v0.3: Infographic, first image from the fixed test run — AuraFlow v0.37 out of 100

Result for “Infographic”:Luma Uni-1.1 Max 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

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

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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=8761677709905735111; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:42 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 8034ca5627e1a256cdf1d06fc87b583d91d971d02edc9af7df52cd6721d3ea9c

AuraFlow v0.3 image SHA 256: 9d0f14ca671e82f18947b9a0d7d7587e372cb4f515ce028434fac4efbd937155

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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=3793893866514060497; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:47 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 36dea214eb680804d4fea089eec3d4f10a4bf7b7a71c7a80f92313a37e8c2f73

AuraFlow v0.3 image SHA 256: d2a4ecc1c165bc861ca60133d9ff95dc9d5b1d5320763be92c8168ff8c3b8166

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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=4682738952817248216; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:37 PM. Source

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

Luma Uni-1.1 Max image SHA 256: 4890cdf8b858c5740124e3b2ba038b73f6a35decc7e3e3d920890462b6e89c2b

AuraFlow v0.3 image SHA 256: 6889065a427cc29bc1c0a53b0ad0662eb24f4be885148b0ebb8f6d945bbd4749

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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=7437917803059710684; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:31 PM. Source

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

Luma Uni-1.1 Max image SHA 256: d2a6162d544def0a283ed62f939b33252636d296a21142111851ecdedd2989d3

AuraFlow v0.3 image SHA 256: b6c221541210743564f6921b5e0bbc227c4d2246f6410cb0c1779c7c58d9460d

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

AuraFlow v0.3

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Luma Uni-1.1 Max

Rank 20 of 108

AuraFlow v0.3

Rank 102 of 108

Price per imagedollars through the API · lower is better

n/a

Luma Uni-1.1 Max

no API price

n/a

AuraFlow v0.3

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.

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.

AuraFlow v0.3

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 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.

Kennzahl	Luma Uni-1.1 Max	AuraFlow v0.3
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	71	12
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	75	11
Product photographyMaterials, reflections, and fine details	71	15
Character and detailAnatomy, clothing, and spatial consistency	60	16
InfographicNumbers, labels, and visual organization	79	7
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	open
Access	API, Web app	local
Parameters	not published	7 billion
Largest output	2K	1,536 × 1,536 pixels
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) · AuraFlow v0.3 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 AuraFlow v0.3 from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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