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- GLM-Image vs. Stable Diffusion 3.5 Large Turbo
GLM-Imagevs.Stable Diffusion 3.5 Large Turbo
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 “Typography and layout”:GLM-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
GLM-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=794853230, prompt expansion disabled, Estimated charge reserves 2 MP at Fal's $0.05 per MP rate, estimated cost $0.100000, generated Nov 2, 2026, 3:01 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
GLM-Image image SHA 256: 3d4fb65e6b8d8aaa9baa9bed4cb79dabe2c672399f5c442c794eb641013686d3
Stable Diffusion 3.5 Large Turbo image SHA 256: 312460ab73a4a22292bf6fbce099d86a22b0b8418f1516351f12f181b5574c76
Infographic
GLM-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=1670252675, prompt expansion disabled, Estimated charge reserves 2 MP at Fal's $0.05 per MP rate, estimated cost $0.100000, generated Nov 2, 2026, 3:02 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
GLM-Image image SHA 256: 0218fb1367d7eed72594c72413f4bcbc5633b1ace0f4905414c4708c5b199af6
Stable Diffusion 3.5 Large Turbo image SHA 256: 16be803360e5a8025715fd221a0a623d1d68dc1ef38063d12c5abc1298e68d69
Product photography
GLM-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=1515387045, prompt expansion disabled, Estimated charge reserves 2 MP at Fal's $0.05 per MP rate, estimated cost $0.100000, generated Nov 2, 2026, 3:00 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
GLM-Image image SHA 256: b5221e770227cfb755aeb6766a4a709b6936e0e0314a0bcbfbcc34db9face315
Stable Diffusion 3.5 Large Turbo image SHA 256: 1d9665660c7b05a58edc1b68c7f9d773ec4fbcaa41f15d3d691df764d5314b82
Typography and layout
GLM-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=2105445743, prompt expansion disabled, Estimated charge reserves 2 MP at Fal's $0.05 per MP rate, estimated cost $0.100000, generated Nov 2, 2026, 2:59 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
GLM-Image image SHA 256: db901c11b4dddacb75b2743d56955ee15cbea541c0924d3c6d8530e91042c815
Stable Diffusion 3.5 Large Turbo image SHA 256: e50fd19573ee42b2d6419b51f45bf29e04931ae1b583868d340fc05d973975ea
The numbers at a glance
GLM-Image
not in the arena
Stable Diffusion 3.5 Large Turbo
not in the arena
GLM-Image
Rank 75 of 108
Stable Diffusion 3.5 Large Turbo
Rank 88 of 108
GLM-Image
no API price
Stable Diffusion 3.5 Large Turbo
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.
GLM-Image
- Subscription
- n/a No plan in Germany names exactly this model.
- Via API
- No API price known. Access: API, local.
- License
- Open weights.
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.
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 | GLM-Image | Stable Diffusion 3.5 Large Turbo |
|---|---|---|
| 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 | 35 | 27 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 50 | 26 |
| Product photographyMaterials, reflections, and fine details | 9 | 15 |
| Character and detailAnatomy, clothing, and spatial consistency | 51 | 51 |
| InfographicNumbers, labels, and visual organization | 30 | 17 |
| API price | ||
| Per imagelower is better | n/a | n/a |
| 100 images | n/a | n/a |
| Profile | ||
| Released | n/a | Oct 22, 2024 |
| Weightsopen means: runs locally | open | open |
| Access | API, local | API, local |
| Parameters | not published | not published |
| Largest output | 2K | 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: GLM-Image model source (verified Nov 1, 2026) · Stable Diffusion 3.5 Large Turbo 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 GLM-Image and Stable Diffusion 3.5 Large Turbo from the same arena and category. Older model versions are not used as substitutes.
More comparisons
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