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- Qwen Image 3.0 Pro vs. Stable Diffusion 3.5 Medium
Qwen Image 3.0 Provs.Stable Diffusion 3.5 Medium
Which one is better?
In our own test, Qwen Image 3.0 Pro leads. 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”:Qwen Image 3.0 Pro 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
Qwen Image 3.0 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.040000, generated Nov 2, 2026, 3:04 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Qwen Image 3.0 Pro image SHA 256: 25a44aae505a9cb8ac370e1df5ee303f1e39116a234249bf89c412dedb9c25d6
Stable Diffusion 3.5 Medium image SHA 256: 6b8aa732e94479ad302904096c5031908141e4083ee099f080185aa04c2ea800
Infographic
Qwen Image 3.0 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.040000, generated Nov 2, 2026, 3:05 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Qwen Image 3.0 Pro image SHA 256: edc1b5dfb1984cb0050d213de2360fa44450e49bf89c80a2751b4d6879fb62b6
Stable Diffusion 3.5 Medium image SHA 256: 61b12e227431387098e51c6ce6d059be9d8df9c85263b994bee62602e2ddfd16
Product photography
Qwen Image 3.0 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.040000, generated Nov 2, 2026, 3:03 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Qwen Image 3.0 Pro image SHA 256: a9696d17066bcbc6268a0c8523187b3770f14297fc80767512f1d2a17a17cf8c
Stable Diffusion 3.5 Medium image SHA 256: 2412a20e61c118ce7ab7ff83e285b96eb32d5c0f1171cc769e153db6655b8f67
Typography and layout
Qwen Image 3.0 Pro: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.040000, generated Nov 2, 2026, 3:02 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Qwen Image 3.0 Pro image SHA 256: d2b2069fe00237ab005465a66e608926e3a0e86b827baba80f04ff631e77f298
Stable Diffusion 3.5 Medium image SHA 256: bc854c3269ea8bada6f764545f4a09abedc110219018c09f2fa5708a14d9af7e
The numbers at a glance
Qwen Image 3.0 Pro
not in the arena
Stable Diffusion 3.5 Medium
not in the arena
Qwen Image 3.0 Pro
Rank 53 of 108
Stable Diffusion 3.5 Medium
Rank 90 of 108
Qwen Image 3.0 Pro
no API price
Stable Diffusion 3.5 Medium
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.
Qwen Image 3.0 Pro
- Subscription
- At Alibaba from ≈ €6.36 a month (Token Plan Individual Lite, with limited credits). 7 plans in Germany.
- Via API
- No API price known. Access: API, Web app.
- Weights
- unknown.
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.
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 | Qwen Image 3.0 Pro | Stable Diffusion 3.5 Medium |
|---|---|---|
| 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 | 61 | 25 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 36 | 22 |
| Product photographyMaterials, reflections, and fine details | 71 | 29 |
| Character and detailAnatomy, clothing, and spatial consistency | 74 | 31 |
| InfographicNumbers, labels, and visual organization | 62 | 20 |
| API price | ||
| Per imagelower is better | n/a | n/a |
| 100 images | n/a | n/a |
| Profile | ||
| Released | n/a | Oct 29, 2024 |
| Weightsopen means: runs locally | unknown | open |
| Access | API, Web app | API, local |
| Parameters | not published | 2.5 billion |
| Largest output | 2K | not consistently published |
| Plans in Germanynaming exactly this model | 7 | n/a |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Qwen Image 3.0 Pro model source (verified Nov 1, 2026) · Stable Diffusion 3.5 Medium 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 Qwen Image 3.0 Pro and Stable Diffusion 3.5 Medium from the same arena and category. Older model versions are not used as substitutes.
More comparisons
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