- Home
- Image model comparison
- Qwen-Image-2.1 vs. Wan 2.7 Image Pro
Qwen-Image-2.1vs.Wan 2.7 Image Pro
Which one is better?
In our own test both are on par. Wan 2.7 Image Pro has no arena rating yet. 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 “Character and detail”:Wan 2.7 Image 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
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
Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=1591420783, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, generated Nov 1, 2026, 8:49 AM. Source
Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1941203496, estimated cost $0.075000, generated Nov 1, 2026, 9:25 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Qwen-Image-2.1 image SHA 256: b29bb7e207ad464957ee060bbf0655104bcbece703360254e48daa3ec35a62d7
Wan 2.7 Image Pro image SHA 256: 0bd2cf4922b58d78d0e6ec3d804aaccd427e5317066816fdc039ca5c80f4de28
Infographic
Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=1283422012, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, prior anonymous attempt refused before inference (ZeroGPU quota), completed through authenticated browser, generated Nov 1, 2026, 8:49 AM. Source
Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1839059937, estimated cost $0.075000, generated Nov 1, 2026, 9:26 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Qwen-Image-2.1 image SHA 256: 316e38ed63ff401f86a7ceee9cc65c74413e0e9c7c899a6e6bf453acc2940dac
Wan 2.7 Image Pro image SHA 256: caa6b4e95e0676d9867358db906f1f029dd320960e9dd1b8300283a5e2723077
Product photography
Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=196359631, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, generated Nov 1, 2026, 8:49 AM. Source
Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1277346407, estimated cost $0.075000, generated Nov 1, 2026, 9:24 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Qwen-Image-2.1 image SHA 256: 041f559d4261865b327fcae4f8bb0bd3b176c55a3b1255a042ab3e0fc4f9bc4b
Wan 2.7 Image Pro image SHA 256: 1ed875886c86963322fdf329bf809943b96886fb4f373197e1654256316ac67c
Typography and layout
Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=158818011, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, generated Nov 1, 2026, 8:49 AM. Source
Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1291974856, estimated cost $0.075000, generated Nov 1, 2026, 9:23 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Qwen-Image-2.1 image SHA 256: 4670269190f492154c05e3f18c4eb9e3938910ca1aca32503b6a1ceb16d39b38
Wan 2.7 Image Pro image SHA 256: 4e860e01ecb53ed47d9a3ad2be57e9f2567e8dc010e44780615f71e30713f648
The numbers at a glance
Qwen-Image-2.1
Rank 14 of 22
Wan 2.7 Image Pro
not in the arena
Qwen-Image-2.1
Rank 37 of 74
Wan 2.7 Image Pro
Rank 8 of 74
Qwen-Image-2.1
no API price
Wan 2.7 Image Pro
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.
Qwen-Image-2.1
- Subscription
- No Alibaba subscription includes this model. Through other providers from ≈ €9.59 a month (Krea Basic, with limited credits). 5 plans in Germany.
- Via API
- No API price known. Access: local, Web app.
- License
- Open weights, Qwen Research License: non-commercial use only; commercial use requires a separate license.
Wan 2.7 Image Pro
- Subscription
- At Alibaba from ≈ €6.39 a month (Token Plan Individual Lite, with limited credits). 7 plans in Germany.
- Via API
- No API price known. Access: API.
- Weights
- unknown.
Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.
Arena rating (LMArena) from Oct 28, 2026 · 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 | Qwen-Image-2.1 | Wan 2.7 Image Pro |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 1,225 | n/a |
| Arena rank | Rank 14 of 22 | n/a |
| Arena votesmore votes, a safer rating | 19,604 | n/a |
| GraduallyBenchour own rating, 0 to 100 | 56 | 73 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 50 | 82 |
| Product photographyMaterials, reflections, and fine details | 72 | 80 |
| Character and detailAnatomy, clothing, and spatial consistency | 21 | 68 |
| InfographicNumbers, labels, and visual organization | 82 | 62 |
| API price | ||
| Per imagelower is better | n/a | n/a |
| 100 images | n/a | n/a |
| Profile | ||
| Released | Sep 20, 2026 | n/a |
| Weightsopen means: runs locally | openQwen Research License: non-commercial use only; commercial use requires a separate license | unknown |
| Access | local, Web app | API |
| Parameters | not published | not published |
| Largest output | 2K | 4K |
| Plans in Germanynaming exactly this model | 5 | 7 |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Qwen-Image-2.1 model source, status source (verified Sep 22, 2026) · Wan 2.7 Image Pro 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-2.1 and Wan 2.7 Image Pro from the same arena and category. Older model versions are not used as substitutes.
Compare another matchup
More matchups
Related image model comparisons
Compare Qwen-Image-2.1 and Wan 2.7 Image Pro with other important image models.