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Stable Diffusion 3.5 Largevs.Wan 2.7 Image Pro

Which one is better?

In our own test, Wan 2.7 Image Pro leads. 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.

Stable Diffusion 3.5 Large: Typography and layout, first image from the fixed test run
Stable Diffusion 3.5 Large11 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

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=7087247023770270000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 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

Stable Diffusion 3.5 Large image SHA 256: e748006fe56e442ad347e3f994f18b86ee1739f20dcee063aa7a03ee710c5d54

Wan 2.7 Image Pro image SHA 256: 0bd2cf4922b58d78d0e6ec3d804aaccd427e5317066816fdc039ca5c80f4de28

Infographic

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=12166653711354006000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 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

Stable Diffusion 3.5 Large image SHA 256: 4eb0fd741ef42e6d3fee4b1280cdfb098a0a04009b139051963895892e349f1e

Wan 2.7 Image Pro image SHA 256: caa6b4e95e0676d9867358db906f1f029dd320960e9dd1b8300283a5e2723077

Product photography

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=13346308312015933000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 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

Stable Diffusion 3.5 Large image SHA 256: ea9a7401dee8859ec2cb96af9f7ca29a177ef2202f52f629d8ce9f5839bd4061

Wan 2.7 Image Pro image SHA 256: 1ed875886c86963322fdf329bf809943b96886fb4f373197e1654256316ac67c

Typography and layout

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=16632333557910893000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 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

Stable Diffusion 3.5 Large image SHA 256: e2994b1883a245b1c8c447957d121ea89d93aafff149029aa4e8507dbb769f9a

Wan 2.7 Image Pro image SHA 256: 4e860e01ecb53ed47d9a3ad2be57e9f2567e8dc010e44780615f71e30713f648

The numbers at a glance

Arena ratingfrom votes by users · higher is better
938

Stable Diffusion 3.5 Large

Rank 22 of 22

n/a

Wan 2.7 Image Pro

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
18

Stable Diffusion 3.5 Large

Rank 67 of 74

73

Wan 2.7 Image Pro

Rank 8 of 74

Price per imagedollars through the API · lower is better
n/a

Stable Diffusion 3.5 Large

no API price

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.

Stable Diffusion 3.5 Large

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: API, local.
License
Open weights.

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.

KennzahlStable Diffusion 3.5 LargeWan 2.7 Image Pro
Ratings
Arena ratingfrom votes by users, higher is better938n/a
Arena rankRank 22 of 22n/a
Arena votesmore votes, a safer rating23,396n/a
GraduallyBenchour own rating, 0 to 1001873
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition1182
Product photographyMaterials, reflections, and fine details1480
Character and detailAnatomy, clothing, and spatial consistency2368
InfographicNumbers, labels, and visual organization2362
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedOct 22, 2024n/a
Weightsopen means: runs locallyopenunknown
AccessAPI, localAPI
Parameters8.1 billionnot published
Largest output1 Megapixel4K
Plans in Germanynaming exactly this modeln/a7

API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.

Sources: Stable Diffusion 3.5 Large 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 Stable Diffusion 3.5 Large and Wan 2.7 Image Pro from the same arena and category. Older model versions are not used as substitutes.

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