Stable Diffusion 3.5 Mediumvs.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 prompt, two images
Same task, the first image of each. The task with the biggest difference is preselected.
Result for “Infographic”:MOSS-Image-SFT ahead
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
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
Stable Diffusion 3.5 Medium: fal, requested 1024x1024, n=1, seed=provider random, estimated cost $0.020000, generated Nov 1, 2026, 9:17 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
Stable Diffusion 3.5 Medium image SHA 256: 6b8aa732e94479ad302904096c5031908141e4083ee099f080185aa04c2ea800
MOSS-Image-SFT image SHA 256: 772013206361c55e807d5004620682a603061ffbabb0cb28e24993a18c0a4ad5
Infographic
Stable Diffusion 3.5 Medium: fal, requested 1024x1024, n=1, seed=provider random, estimated cost $0.020000, generated Nov 1, 2026, 9:17 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
Stable Diffusion 3.5 Medium image SHA 256: 61b12e227431387098e51c6ce6d059be9d8df9c85263b994bee62602e2ddfd16
MOSS-Image-SFT image SHA 256: f46b17df7becc603d27762b2d235128ffc30f5722f51e8d50cd6df4723409dd9
Product photography
Stable Diffusion 3.5 Medium: fal, requested 1024x1024, n=1, seed=provider random, estimated cost $0.020000, generated Nov 1, 2026, 9:16 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
Stable Diffusion 3.5 Medium image SHA 256: 2412a20e61c118ce7ab7ff83e285b96eb32d5c0f1171cc769e153db6655b8f67
MOSS-Image-SFT image SHA 256: ae1015034efbde73cece799521a3a2e98ad82a8362eaf97f5bc1266e13386d57
Typography and layout
Stable Diffusion 3.5 Medium: fal, requested 1024x1024, n=1, seed=provider random, estimated cost $0.020000, generated Nov 1, 2026, 9:16 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
Stable Diffusion 3.5 Medium image SHA 256: bc854c3269ea8bada6f764545f4a09abedc110219018c09f2fa5708a14d9af7e
MOSS-Image-SFT image SHA 256: 61feaf0c1af07a1cc8dd874c51dc8e86b5bfc271042b8e25f2512cb5a03ec51d
The numbers at a glance
Stable Diffusion 3.5 Medium
not in the arena
MOSS-Image-SFT
not in the arena
Stable Diffusion 3.5 Medium
Rank 69 of 74
MOSS-Image-SFT
Rank 52 of 74
Stable Diffusion 3.5 Medium
no API price
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.
Stable Diffusion 3.5 Medium
- Subscription
- n/a No plan in Germany names exactly this model.
- Via API
- No API price known. Access: API, local.
- License
- Open weights.
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 | Stable Diffusion 3.5 Medium | 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 | 16 | 41 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 17 | 13 |
| Product photographyMaterials, reflections, and fine details | 13 | 58 |
| Character and detailAnatomy, clothing, and spatial consistency | 16 | 17 |
| InfographicNumbers, labels, and visual organization | 20 | 75 |
| API price | ||
| Per imagelower is better | n/a | n/a |
| 100 images | n/a | n/a |
| Profile | ||
| Released | Oct 29, 2024 | Oct 16, 2026 |
| Weightsopen means: runs locally | open | open |
| Access | API, local | local |
| Parameters | 2.5 billion | 5 billion |
| Largest output | not consistently published | 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: Stable Diffusion 3.5 Medium model source (verified Nov 1, 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 Stable Diffusion 3.5 Medium and MOSS-Image-SFT from the same arena and category. Older model versions are not used as substitutes.
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