Muse Imagevs.SANA-1.5 1.6B 1024px
Which one is better?
In our own test, Muse Image leads. SANA-1.5 1.6B 1024px has no arena rating yet. SANA-1.5 1.6B 1024px has no API price.
Test images
Same task, the first image of each. The task with the biggest difference is preselected.
Result for “Typography and layout”:Muse Image ahead
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
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
SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=4913908686846438154; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:32 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Muse Image image SHA 256: 356427fe1ec15a444aae4eab2194344c7fe6b17ef205a8db16c1d64dbacb750e
SANA-1.5 1.6B 1024px image SHA 256: abc8d1fcb514ea7754211b79030abbf92ef83a61e546f19b217ccb06df0aaf45
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
SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1936313402304398258; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:33 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Muse Image image SHA 256: c8b096001990f57cb5225f6387485b391a4a5e3c3031e7b0524a4c19e1e01bc8
SANA-1.5 1.6B 1024px image SHA 256: 828815adaab125d67312b64061f9b5a448558e9ac56ec9aa5ce8cf00cb63c481
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
SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1353667313865032696; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:32 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Muse Image image SHA 256: 0cb5d4c3dbe33c840ba87f0e8af255deec9e7e02eb6c7f172310af433e78fdb6
SANA-1.5 1.6B 1024px image SHA 256: a43c512ad071c0d7526e16f69874b653f073c532403114299c8fde43770a72c8
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
SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=2028788407160516328; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled; two submissions: first attempt produced no image after a documented MPS VAE decoding crash; technical repeat kept the same prompt and seed, generated Nov 2, 2026, 5:31 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Muse Image image SHA 256: b8232890082d6bdd72dd7be99d98a573566a2c62f94597ecdda2bd9110e2e143
SANA-1.5 1.6B 1024px image SHA 256: 7c58a1c863d5b8d22d06ed159b89aa64d13cf9a44f7b3d4871683f491f0bb75c
The numbers at a glance
Muse Image
Rank 7 of 21
SANA-1.5 1.6B 1024px
not in the arena
Muse Image
Rank 4 of 108
SANA-1.5 1.6B 1024px
Rank 107 of 108
Muse Image
cheap
SANA-1.5 1.6B 1024px
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.
SANA-1.5 1.6B 1024px
- 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.
| Kennzahl | Muse Image | SANA-1.5 1.6B 1024px |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 1,268 | n/a |
| Arena rank | Rank 7 of 21 | n/a |
| Arena votesmore votes, a safer rating | 57,568 | n/a |
| GraduallyBenchour own rating, 0 to 100 | 78 | 4 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 86 | 3 |
| Product photographyMaterials, reflections, and fine details | 81 | 0 |
| Character and detailAnatomy, clothing, and spatial consistency | 61 | 4 |
| InfographicNumbers, labels, and visual organization | 86 | 7 |
| API price | ||
| Per imagelower is better | $0.01 | n/a |
| 100 images | $1 | n/a |
| Profile | ||
| Released | Jul 7, 2026 | Mar 16, 2025 |
| Weightsopen means: runs locally | proprietary | open |
| Access | API, Web app | local |
| Parameters | not published | 1.6 billion |
| Largest output | not consistently published | not consistently published |
| Plans in Germanynaming exactly this model | 6 | n/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) · SANA-1.5 1.6B 1024px 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 SANA-1.5 1.6B 1024px from the same arena and category. Older model versions are not used as substitutes.
More comparisons
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