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- Wan 2.6 Text to Image vs. Qwen-Image-2.1
Wan 2.6 Text to Imagevs.Qwen-Image-2.1
Which one is better?
In our own test both are on par. Wan 2.6 Text to Image has no arena rating yet. Qwen-Image-2.1 has no API price.
Test images
Same task, the first image of each. The task with the biggest difference is preselected.


Result for “Character and detail”:Wan 2.6 Text to Image 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
Wan 2.6 Text to Image: together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:30 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Wan 2.6 Text to Image image SHA 256: cf49d7136a442f4f1c1ae29af99e917aa83bcbf501fdacfe3a13a3b3e74d7f9a
Qwen-Image-2.1 image SHA 256: b29bb7e207ad464957ee060bbf0655104bcbece703360254e48daa3ec35a62d7
Infographic
Wan 2.6 Text to Image: together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:30 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Wan 2.6 Text to Image image SHA 256: 28eecbf460194ec047237c35415d934929baee9de9938bdff435cd21a4416435
Qwen-Image-2.1 image SHA 256: 316e38ed63ff401f86a7ceee9cc65c74413e0e9c7c899a6e6bf453acc2940dac
Product photography
Wan 2.6 Text to Image: together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:29 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Wan 2.6 Text to Image image SHA 256: e8dbcfd0ce965814d72d676eddf74f723d476c1f78c5928c7b6efbc4eca4765e
Qwen-Image-2.1 image SHA 256: 041f559d4261865b327fcae4f8bb0bd3b176c55a3b1255a042ab3e0fc4f9bc4b
Typography and layout
Wan 2.6 Text to Image: together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 2:01 PM. Source
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
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Wan 2.6 Text to Image image SHA 256: 7e9557478ee297369d7680b31ab3b23a13c984981c0e0c922ef07372999122a7
Qwen-Image-2.1 image SHA 256: 4670269190f492154c05e3f18c4eb9e3938910ca1aca32503b6a1ceb16d39b38
The numbers at a glance
Wan 2.6 Text to Image
not in the arena
Qwen-Image-2.1
Rank 14 of 21
Wan 2.6 Text to Image
Rank 44 of 108
Qwen-Image-2.1
Rank 40 of 108
Wan 2.6 Text to Image
cheap
Qwen-Image-2.1
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.
Wan 2.6 Text to Image
- Subscription
- n/a No plan in Germany names exactly this model.
- Via API
- $0.03 per image, 100 images $3.
Qwen-Image-2.1
- Subscription
- No Alibaba subscription includes this model. Through other providers from ≈ €9.51 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.
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 3, 2026 · API prices 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 | Wan 2.6 Text to Image | Qwen-Image-2.1 |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | n/a | 1,225 |
| Arena rank | n/a | Rank 14 of 21 |
| Arena votesmore votes, a safer rating | n/a | 19,604 |
| GraduallyBenchour own rating, 0 to 100 | 63 | 65 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 41 | 54 |
| Product photographyMaterials, reflections, and fine details | 54 | 90 |
| Character and detailAnatomy, clothing, and spatial consistency | 79 | 34 |
| InfographicNumbers, labels, and visual organization | 77 | 83 |
| API price | ||
| Per imagelower is better | $0.03 | n/a |
| 100 images | $3 | n/a |
| Profile | ||
| Released | January 2026 | Sep 20, 2026 |
| Weightsopen means: runs locally | proprietary | openQwen Research License: non-commercial use only; commercial use requires a separate license |
| Access | API | local, Web app |
| Parameters | not published | not published |
| Largest output | 2K | 2K |
| Plans in Germanynaming exactly this model | n/a | 5 |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Wan 2.6 Text to Image model source (verified Aug 15, 2026) · Qwen-Image-2.1 model source, status source (verified Sep 22, 2026)
Arena ratings by category
From blind votes on LMArena. “Ahead” means the lead is clear.
Artificial Analysis from Nov 3, 2026
All individual values with sources
| Rating | Wan 2.6 Text to Image | Qwen-Image-2.1 | Source |
|---|---|---|---|
| Text to Image Arena | 1,015 | 1,043 | Artificial AnalysisRetrieved Nov 3, 2026 |
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Predecessor and successor
- No predecessor recorded for Wan 2.6 Text to Image
- Wan 2.6 Text to Image has no successor yet
- No predecessor recorded for Qwen-Image-2.1
- Qwen-Image-2.1 has no successor yet
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