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Muse Imagevs.AuraFlow v0.3

Which one is better?

In our own test, Muse Image leads. AuraFlow v0.3 has no arena rating yet. AuraFlow v0.3 has no API price.

Test images

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

Muse Image: Infographic, first image from the fixed test run
Muse Image86 out of 100
AuraFlow v0.3: Infographic, first image from the fixed test run
AuraFlow v0.37 out of 100

Result for “Infographic”:Muse Image 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

Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:48 AM. 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

Muse Image image SHA 256: 356427fe1ec15a444aae4eab2194344c7fe6b17ef205a8db16c1d64dbacb750e

AuraFlow v0.3 image SHA 256: 9d0f14ca671e82f18947b9a0d7d7587e372cb4f515ce028434fac4efbd937155

Infographic

Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:49 AM. 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

Muse Image image SHA 256: c8b096001990f57cb5225f6387485b391a4a5e3c3031e7b0524a4c19e1e01bc8

AuraFlow v0.3 image SHA 256: d2a4ecc1c165bc861ca60133d9ff95dc9d5b1d5320763be92c8168ff8c3b8166

Product photography

Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:48 AM. 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

Muse Image image SHA 256: 0cb5d4c3dbe33c840ba87f0e8af255deec9e7e02eb6c7f172310af433e78fdb6

AuraFlow v0.3 image SHA 256: 6889065a427cc29bc1c0a53b0ad0662eb24f4be885148b0ebb8f6d945bbd4749

Typography and layout

Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:48 AM. 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

Muse Image image SHA 256: b8232890082d6bdd72dd7be99d98a573566a2c62f94597ecdda2bd9110e2e143

AuraFlow v0.3 image SHA 256: b6c221541210743564f6921b5e0bbc227c4d2246f6410cb0c1779c7c58d9460d

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,268

Muse Image

Rank 7 of 21

n/a

AuraFlow v0.3

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
78

Muse Image

Rank 4 of 108

12

AuraFlow v0.3

Rank 102 of 108

Price per imagedollars through the API · lower is better
$0.01

Muse Image

cheap

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.

Muse Image

Subscription
Free to use at Meta (Meta AI Free). Through other providers from ≈ €9.54 a month (Krea Basic, with limited credits). 6 plans in Germany.
Via API
$0.01 per image, 100 images $1.

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.

Arena rating (LMArena) from Nov 6, 2026 · GraduallyBench from Nov 3, 2026 · API prices from Nov 6, 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.

KennzahlMuse ImageAuraFlow v0.3
Ratings
Arena ratingfrom votes by users, higher is better1,268n/a
Arena rankRank 7 of 21n/a
Arena votesmore votes, a safer rating57,568n/a
GraduallyBenchour own rating, 0 to 1007812
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition8611
Product photographyMaterials, reflections, and fine details8115
Character and detailAnatomy, clothing, and spatial consistency6116
InfographicNumbers, labels, and visual organization867
API price
Per imagelower is better$0.01n/a
100 images$1n/a
Profile
ReleasedJul 7, 2026n/a
Weightsopen means: runs locallyproprietaryopen
AccessAPI, Web applocal
Parametersnot published7 billion
Largest outputnot consistently published1,536 × 1,536 pixels
Plans in Germanynaming exactly this model6n/a

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

Sources: Muse Image model source (verified Sep 26, 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 Muse Image and AuraFlow v0.3 from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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