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Wan 2.6 Text to Imagevs.Wan 2.7 Image Pro

Which one is better?

In our own test both are on par. Neither is in the arena. Wan 2.7 Image Pro has no API price.

Same prompt, two images

Same task, the first image of each. The task with the biggest difference is preselected.

Wan 2.6 Text to Image: Typography and layout, first image from the fixed test run
Wan 2.6 Text to Image30 out of 100
Wan 2.7 Image Pro: Typography and layout, first image from the fixed test run
Wan 2.7 Image Pro82 out of 100

Result for “Typography and layout”:Wan 2.7 Image Pro ahead

Prompt given to both modelsCreate a square editorial poster for an imaginary night train called MONDFALTER. Show the exact German headline MONDFALTER and the exact subline BERLIN NACH LISSABON. Use a restrained midnight-blue and warm-cream palette, one stylized moth, strong Swiss-grid typography, generous negative space, and no additional words or logos.

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

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

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

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

Wan 2.6 Text to Image image SHA 256: cf49d7136a442f4f1c1ae29af99e917aa83bcbf501fdacfe3a13a3b3e74d7f9a

Wan 2.7 Image Pro image SHA 256: 0bd2cf4922b58d78d0e6ec3d804aaccd427e5317066816fdc039ca5c80f4de28

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

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

Wan 2.6 Text to Image image SHA 256: 28eecbf460194ec047237c35415d934929baee9de9938bdff435cd21a4416435

Wan 2.7 Image Pro image SHA 256: caa6b4e95e0676d9867358db906f1f029dd320960e9dd1b8300283a5e2723077

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

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

Wan 2.6 Text to Image image SHA 256: e8dbcfd0ce965814d72d676eddf74f723d476c1f78c5928c7b6efbc4eca4765e

Wan 2.7 Image Pro image SHA 256: 1ed875886c86963322fdf329bf809943b96886fb4f373197e1654256316ac67c

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

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

Wan 2.6 Text to Image image SHA 256: 7e9557478ee297369d7680b31ab3b23a13c984981c0e0c922ef07372999122a7

Wan 2.7 Image Pro image SHA 256: 4e860e01ecb53ed47d9a3ad2be57e9f2567e8dc010e44780615f71e30713f648

The numbers at a glance

Arena ratingfrom votes by users · higher is better
n/a

Wan 2.6 Text to Image

not in the arena

n/a

Wan 2.7 Image Pro

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
50

Wan 2.6 Text to Image

Rank 47 of 74

73

Wan 2.7 Image Pro

Rank 8 of 74

Price per imagedollars through the API · lower is better
$0.03

Wan 2.6 Text to Image

cheap

n/a

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.

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.

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.

GraduallyBench from Nov 1, 2026 · API prices from Oct 28, 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.

KennzahlWan 2.6 Text to ImageWan 2.7 Image Pro
Ratings
Arena ratingfrom votes by users, higher is bettern/an/a
Arena rankn/an/a
Arena votesmore votes, a safer ratingn/an/a
GraduallyBenchour own rating, 0 to 1005073
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition3082
Product photographyMaterials, reflections, and fine details3880
Character and detailAnatomy, clothing, and spatial consistency7368
InfographicNumbers, labels, and visual organization6062
API price
Per imagelower is better$0.03n/a
100 images$3n/a
Profile
ReleasedJanuary 2026n/a
Weightsopen means: runs locallyproprietaryunknown
AccessAPIAPI
Parametersnot publishednot published
Largest output2K4K
Plans in Germanynaming exactly this modeln/a7

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) · 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 Wan 2.6 Text to Image and Wan 2.7 Image Pro from the same arena and category. Older model versions are not used as substitutes.

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