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Stable Diffusion 3.5 Large Turbovs.LongCat-Image
Which one is better?
In our own test both are on par. 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.


Result for “Character and detail”:Stable Diffusion 3.5 Large Turbo slightly ahead
What the rating looks at: Anatomy, clothing, and spatial consistency.
“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
Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source
LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=1234871882, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Stable Diffusion 3.5 Large Turbo image SHA 256: 312460ab73a4a22292bf6fbce099d86a22b0b8418f1516351f12f181b5574c76
LongCat-Image image SHA 256: 7c2d3cbf8efa756277fc1e20af0c0c7c4febec50b30244eb9b85c02c236e97ca
Infographic
Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source
LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=886012823, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Stable Diffusion 3.5 Large Turbo image SHA 256: 16be803360e5a8025715fd221a0a623d1d68dc1ef38063d12c5abc1298e68d69
LongCat-Image image SHA 256: ce6df19ed744009c81aec8257cef3e5a4de7ea0d4985c709335ec1b50c3381fb
Product photography
Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source
LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=1319752608, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Stable Diffusion 3.5 Large Turbo image SHA 256: 1d9665660c7b05a58edc1b68c7f9d773ec4fbcaa41f15d3d691df764d5314b82
LongCat-Image image SHA 256: 1f95d4152dfa60c5056df13bf813563a75863f4a34419344e1a59a800a46f689
Typography and layout
Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source
LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=943200407, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Stable Diffusion 3.5 Large Turbo image SHA 256: e50fd19573ee42b2d6419b51f45bf29e04931ae1b583868d340fc05d973975ea
LongCat-Image image SHA 256: 1d6b72ae389c339ff3011ee3c59bd77b12b5157f1fadcf0932c96ebe5313836b
The numbers at a glance
Stable Diffusion 3.5 Large Turbo
not in the arena
LongCat-Image
not in the arena
Stable Diffusion 3.5 Large Turbo
Rank 88 of 108
LongCat-Image
Rank 80 of 108
Stable Diffusion 3.5 Large Turbo
no API price
LongCat-Image
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.
Stable Diffusion 3.5 Large Turbo
- Subscription
- n/a No plan in Germany names exactly this model.
- Via API
- No API price known. Access: API, local.
- License
- Open weights.
LongCat-Image
- 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 | Stable Diffusion 3.5 Large Turbo | LongCat-Image |
|---|---|---|
| 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 | 27 | 33 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 26 | 41 |
| Product photographyMaterials, reflections, and fine details | 15 | 29 |
| Character and detailAnatomy, clothing, and spatial consistency | 51 | 24 |
| InfographicNumbers, labels, and visual organization | 17 | 37 |
| API price | ||
| Per imagelower is better | n/a | n/a |
| 100 images | n/a | n/a |
| Profile | ||
| Released | Oct 22, 2024 | Dec 5, 2025 |
| Weightsopen means: runs locally | open | open |
| Access | API, local | local |
| Parameters | not published | 6 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 Large Turbo model source (verified Nov 1, 2026) · LongCat-Image 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 Large Turbo and LongCat-Image from the same arena and category. Older model versions are not used as substitutes.
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