Skip to main content

Head-to-head comparison

Wan 2.6 Text to Image vs. Stable Diffusion 3.5 Large

Compare arena scores with documented retrieval dates, task-specific image pricing, and verified specifications. Text-to-image generation and image editing are never blended into an artificial overall score.

8

shared result series

4

shared sample prompts

2026-08-16

latest arena retrieval

Change image model selection

Specifications and cost

General specifications and task-specific pricing

A model can have one price for generating new images and another for editing. Prices therefore remain tied to the corresponding arena configuration.

Specifications and pricing for Wan 2.6 Text to Image and Stable Diffusion 3.5 Large
AttributeWan 2.6 Text to ImageStable Diffusion 3.5 Large
ProviderAlibabaStability AI
ReleasedJanuary 2026October 22, 2024
AccessAPIAPI, local
LifecycleNo separate lifecycle noticeNo separate lifecycle notice
WeightsProprietaryOpen weights
ParametersNot published8.1 billion
Maximum output2K1 Megapixel
Arena configurationText to ImageNo separate configuration named
Text-to-image price$30 per 1,000 imagesNo arena entry
Editing priceNo arena entryNo arena entry
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-08-15

Independent preference tests

Shared arena benchmarks

Artificial Analysis and Arena derive scores from blind comparisons. Raters see outputs for the same prompt and choose the image they prefer. Separate series cover text rendering, photorealism, portraits, art, commercial design, and image editing. Confidence intervals indicate how certain a measured lead is.

8 shared result series
Wan 2.6 Text to ImageStable Diffusion 3.5 Large
Arena Text to Image: 3D modelingBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,145.884 arena pointsHigher arena score
Stable Diffusion 3.5 Large963.912 arena points
Arena Text to Image: ArtBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,156.609 arena pointsHigher arena score
Stable Diffusion 3.5 Large997.688 arena points
Arena Text to Image: CartoonBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,145.336 arena pointsHigher arena score
Stable Diffusion 3.5 Large945.603 arena points
Arena Text to Image: Commercial designBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,148.092 arena pointsHigher arena score
Stable Diffusion 3.5 Large937.14 arena points
Arena Text to Image: OverallBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,135.885 arena pointsHigher arena score
Stable Diffusion 3.5 Large938.302 arena points
Arena Text to Image: PhotorealismBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,128.051 arena pointsHigher arena score
Stable Diffusion 3.5 Large928.086 arena points
Arena Text to Image: PortraitsBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,122.435 arena pointsHigher arena score
Stable Diffusion 3.5 Large941.134 arena points
Arena Text to Image: Text renderingBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,148.761 arena pointsHigher arena score
Stable Diffusion 3.5 Large921.402 arena points
Arena benchmark scores for Wan 2.6 Text to Image and Stable Diffusion 3.5 Large
BenchmarkWan 2.6 Text to ImageStable Diffusion 3.5 LargeSource
Arena Text to Image: 3D modeling
1,145.884 arena pointsHigher arena score
Rank 31, 95% confidence interval: ±6.43, 17,534 ratings
963.912 arena points
Rank 73, 95% confidence interval: ±15.9, 1,629 ratings
ArenaRetrieved 2026-08-16
Arena Text to Image: Art
1,156.609 arena pointsHigher arena score
Rank 27, 95% confidence interval: ±5.91, 23,269 ratings
997.688 arena points
Rank 70, 95% confidence interval: ±9.46, 5,340 ratings
ArenaRetrieved 2026-08-16
Arena Text to Image: Cartoon
1,145.336 arena pointsHigher arena score
Rank 32, 95% confidence interval: ±4.52, 73,425 ratings
945.603 arena points
Rank 73, 95% confidence interval: ±6.34, 12,274 ratings
ArenaRetrieved 2026-08-16
Arena Text to Image: Commercial design
1,148.092 arena pointsHigher arena score
Rank 31, 95% confidence interval: ±4.37, 69,457 ratings
937.14 arena points
Rank 74, 95% confidence interval: ±11.06, 3,051 ratings
ArenaRetrieved 2026-08-16
Arena Text to Image: Overall
1,135.885 arena pointsHigher arena score
Rank 35, 95% confidence interval: ±3.05, 182,381 ratings
938.302 arena points
Rank 74, 95% confidence interval: ±4.5, 23,396 ratings
ArenaRetrieved 2026-08-16
Arena Text to Image: Photorealism
1,128.051 arena pointsHigher arena score
Rank 39, 95% confidence interval: ±4.4, 74,727 ratings
928.086 arena points
Rank 74, 95% confidence interval: ±7.07, 9,405 ratings
ArenaRetrieved 2026-08-16
Arena Text to Image: Portraits
1,122.435 arena pointsHigher arena score
Rank 44, 95% confidence interval: ±5.31, 40,808 ratings
941.134 arena points
Rank 73, 95% confidence interval: ±8.89, 5,704 ratings
ArenaRetrieved 2026-08-16
Arena Text to Image: Text rendering
1,148.761 arena pointsHigher arena score
Rank 31, 95% confidence interval: ±4.55, 66,011 ratings
921.402 arena points
Rank 74, 95% confidence interval: ±10.85, 3,222 ratings
ArenaRetrieved 2026-08-16

Visual comparison

Sample images from documented runs

Our images complement preference data, but do not replace it. The prompt, request count, and selection rule match. Provider resolution, quality tier, randomness, and prompt processing remain visible limitations, so this is not a fully controlled laboratory test.

Largely standardized comparison protocol. Both models receive the same archived prompt, 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. These images are a practical visual test, not a reconstruction of the arena configuration.

Character and detail

Anatomy, clothing, and spatial consistency

Wan 2.6 Text to Image, Character and detail
Wan 2.6 Text to Image
Stable Diffusion 3.5 Large, Character and detail
Stable Diffusion 3.5 Large
Prompt and settings

Create a square cinematic full-body portrait of a fictional bicycle courier waiting under a transparent umbrella at a rainy tram stop in Hamburg at blue hour. She wears a mustard raincoat, navy trousers, red sneakers, a silver helmet, and carries a teal messenger bag. Keep both hands visible, render the bicycle correctly, use realistic wet-street reflections, and include no readable brand names.

Wan 2.6 Text to Image. Provider Together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, model ID Wan-AI/Wan2.6-image, generated Aug 14, 2026, 12:30 PM. Source
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=7087247023770270000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Wan 2.6 Text to Image, image SHA 256: cf49d7136a442f4f1c1ae29af99e917aa83bcbf501fdacfe3a13a3b3e74d7f9a

Wan 2.6 Text to Image, request SHA 256: 10c9f29d46b749448e574d11b560a2c20065d9026f1f52a99f09b23b6299c9c5

Stable Diffusion 3.5 Large, image SHA 256: e748006fe56e442ad347e3f994f18b86ee1739f20dcee063aa7a03ee710c5d54

Stable Diffusion 3.5 Large, request SHA 256: 5d005ee24926d68b7d2299b8ecbe4e14919f652761f6de2568a043f2a6258da0

Infographic

Numbers, labels, and visual organization

Wan 2.6 Text to Image, Infographic
Wan 2.6 Text to Image
Stable Diffusion 3.5 Large, Infographic
Stable Diffusion 3.5 Large
Prompt and settings

Create a square German infographic titled SO FUNKTIONIERT PHOTOSYNTHESE. Show exactly four numbered steps in this order: 1 LICHT, 2 WASSER, 3 CO₂, 4 ZUCKER + SAUERSTOFF. Use a clean editorial science style with one plant cross-section, simple arrows, high contrast, legible labels, and no other text.

Wan 2.6 Text to Image. Provider Together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, model ID Wan-AI/Wan2.6-image, generated Aug 14, 2026, 12:30 PM. Source
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=12166653711354006000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Wan 2.6 Text to Image, image SHA 256: 28eecbf460194ec047237c35415d934929baee9de9938bdff435cd21a4416435

Wan 2.6 Text to Image, request SHA 256: d9e00f8c778897df69e719c5bf9fa73115d87abeb23d63eec50dc2280f0e29a9

Stable Diffusion 3.5 Large, image SHA 256: 4eb0fd741ef42e6d3fee4b1280cdfb098a0a04009b139051963895892e349f1e

Stable Diffusion 3.5 Large, request SHA 256: 8b8014fc63f520d73ff57d3d8df5eae880097383167d44918b963f2830d09940

Product photography

Materials, reflections, and fine details

Wan 2.6 Text to Image, Product photography
Wan 2.6 Text to Image
Stable Diffusion 3.5 Large, Product photography
Stable Diffusion 3.5 Large
Prompt and settings

Create a square premium product photograph of a brushed titanium wristwatch standing upright on dark green marble. The watch has a cream dial, thin black hands set to 10:10, twelve distinct hour markers, a realistic crown, and a dark brown leather strap. Soft window light from the left, controlled reflections, shallow depth of field, no text, no logo, no extra objects.

Wan 2.6 Text to Image. Provider Together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, model ID Wan-AI/Wan2.6-image, generated Aug 14, 2026, 12:29 PM. Source
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=13346308312015933000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Wan 2.6 Text to Image, image SHA 256: e8dbcfd0ce965814d72d676eddf74f723d476c1f78c5928c7b6efbc4eca4765e

Wan 2.6 Text to Image, request SHA 256: d1539f1db265e5a110b20b8585984ef534d0b89f51e83fd0fc51551832b669d1

Stable Diffusion 3.5 Large, image SHA 256: ea9a7401dee8859ec2cb96af9f7ca29a177ef2202f52f629d8ce9f5839bd4061

Stable Diffusion 3.5 Large, request SHA 256: 21e2c14d1b6315c30134e1390f531349608855d4ef1a87527e6d0ba57b2974ca

Typography and layout

Legible text, hierarchy, and composition

Wan 2.6 Text to Image, Typography and layout
Wan 2.6 Text to Image
Stable Diffusion 3.5 Large, Typography and layout
Stable Diffusion 3.5 Large
Prompt and settings

Create 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.

Wan 2.6 Text to Image. Provider Together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, model ID Wan-AI/Wan2.6-image, generated Aug 14, 2026, 2:01 PM. Source
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=16632333557910893000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Wan 2.6 Text to Image, image SHA 256: 7e9557478ee297369d7680b31ab3b23a13c984981c0e0c922ef07372999122a7

Wan 2.6 Text to Image, request SHA 256: 2018571c876690a189c5076c520f09d03dd75a18ad6c52550cd51f854c30aa9d

Stable Diffusion 3.5 Large, image SHA 256: e2994b1883a245b1c8c447957d121ea89d93aafff149029aa4e8507dbb769f9a

Stable Diffusion 3.5 Large, request SHA 256: 530872e813e988ba95025956a3743c6111120af963d90b8970a8bf3eced5547b

How to read this comparison

An Elo score is not a verdict on creativity

A higher arena score means this specific configuration was preferred more often in blind comparisons.

Typography, character consistency, local execution, licensing, and price may matter more to your workload than overall visual appeal.

Prices cover 1,000 images at 1,024 × 1,024 pixels using settings documented by Artificial Analysis. Subscriptions and special rates are excluded.

More matchups

Related image model comparisons

Compare Wan 2.6 Text to Image and Stable Diffusion 3.5 Large with other important image models using the same benchmark and sample methodology.

View the complete image model comparison