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Head-to-head comparison

Wan 2.6 Text to Image vs. FLUX.2 Pro

Compare shared capability tests, arena scores with documented retrieval dates, task-specific image pricing, and verified specifications. Research benchmarks, preference arenas, and our n = 1 samples remain separate.

shared result series
25
shared sample prompts
4
latest arena retrieval
2026-08-26

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 FLUX.2 Pro
AttributeWan 2.6 Text to ImageFLUX.2 Pro
ProviderAlibabaBlack Forest Labs
ReleasedJanuary 2026November 2025
AccessAPIAPI, Web app
LifecycleNo separate lifecycle noticeNo separate lifecycle notice
WeightsProprietaryProprietary
ParametersNot publishedNot published
Maximum output2K4 Megapixel
Arena configurationText to ImagePro
Text-to-image price$30 per 1,000 images$30 per 1,000 images
Editing priceNo arena entry$45 per 1,000 images
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-08-15
Wan 2.6 Text to ImageFLUX.2 Pro
Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
Wan 2.6 Text to ImageTie$30
FLUX.2 ProTie$30

Key to the marks:better valuebetter, but not conclusivetie

Prompt adherence and specialist tests

Shared capability benchmarks

Every matchup includes the same four Gradually sample tasks. For each task, one archived first output from every model is ranked in three differently ordered, model-blind passes. The published 0-100 value normalizes the mean rank. It must still be read as an n = 1 sample per model. This pair also shares 12 results from published research benchmarks.

Wan 2.6 Text to ImageFLUX.2 Pro
Gradually sample test: Typography and layoutMean of three blind ranks across all 28 first outputs, n = 1 each
Wan 2.6 Text to Image14.8 / 100
FLUX.2 ProHigher blind-rank score50.6 / 100
Gradually sample test: Product photographyMean of three blind ranks across all 28 first outputs, n = 1 each
Wan 2.6 Text to Image25.9 / 100
FLUX.2 ProHigher blind-rank score43.2 / 100
Gradually sample test: Character and detailMean of three blind ranks across all 28 first outputs, n = 1 each
Wan 2.6 Text to Image66.7 / 100
FLUX.2 ProHigher blind-rank score70.4 / 100
Gradually sample test: InfographicMean of three blind ranks across all 28 first outputs, n = 1 each
Wan 2.6 Text to ImageHigher blind-rank score49.4 / 100
FLUX.2 Pro24.7 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for Wan 2.6 Text to Image and FLUX.2 Pro
BenchmarkWan 2.6 Text to ImageFLUX.2 Pro
GEBench Chinese, single-step
64.2 / 100
Higher benchmark score68.83 / 100
GEBench Chinese, multi-step
50.11 / 100
Higher benchmark score55.07 / 100
GEBench Chinese, fictional app
52.72 / 100
Higher benchmark score58.13 / 100
GEBench Chinese, real app
50.4 / 100
Higher benchmark score55.41 / 100
GEBench Chinese, grounding
Higher benchmark score59.58 / 100
50.24 / 100
GEBench Chinese, overall
55.4 / 100
Higher benchmark score57.54 / 100
GEBench English, single-step
60.17 / 100
Higher benchmark score61 / 100
GEBench English, multi-step
44.36 / 100
Higher benchmark score52.17 / 100
GEBench English, fictional app
49.55 / 100
Higher benchmark score49.92 / 100
GEBench English, real app
44.8 / 100
Higher benchmark score47.16 / 100
GEBench English, grounding
Higher benchmark score53.36 / 100
45.67 / 100
GEBench English, overall
50.45 / 100
Higher benchmark score51.18 / 100
Gradually sample test: Typography and layout
14.8 / 100
Mean rank: 24 (24 / 24 / 24)
Five rubric scores
Headline: 1 / 2
Subline: 1.67 / 2
Text control: 1 / 2
Visual brief: 1.33 / 2
Layout: 1 / 2
Higher blind-rank score50.6 / 100
Mean rank: 14.33 (11 / 22 / 10)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1 / 2
Layout: 1.33 / 2
Gradually sample test: Product photography
25.9 / 100
Mean rank: 21 (22 / 20 / 21)
Five rubric scores
Subject: 1.33 / 2
Time: 1.33 / 2
Watch details: 1.33 / 2
Photography: 1.33 / 2
Exclusions: 0.67 / 2
Higher blind-rank score43.2 / 100
Mean rank: 16.33 (13 / 22 / 14)
Five rubric scores
Subject: 1.33 / 2
Time: 1.33 / 2
Watch details: 1.33 / 2
Photography: 1.33 / 2
Exclusions: 1.33 / 2
Gradually sample test: Character and detail
66.7 / 100
Mean rank: 10 (19 / 6 / 5)
Five rubric scores
Scene: 1.33 / 2
Wardrobe: 1.33 / 2
Anatomy: 1.33 / 2
Props: 1.33 / 2
Environment: 1.33 / 2
Higher blind-rank score70.4 / 100
Mean rank: 9 (13 / 1 / 13)
Five rubric scores
Scene: 1.33 / 2
Wardrobe: 1.33 / 2
Anatomy: 1.33 / 2
Props: 1.33 / 2
Environment: 1.33 / 2
Gradually sample test: Infographic
Higher blind-rank score49.4 / 100
Mean rank: 14.67 (14 / 17 / 13)
Five rubric scores
Title: 1.67 / 2
Sequence: 1 / 2
Labels: 1 / 2
Diagram: 1.67 / 2
Clarity: 1 / 2
24.7 / 100
Mean rank: 21.33 (20 / 23 / 21)
Five rubric scores
Title: 1.67 / 2
Sequence: 1 / 2
Labels: 0.67 / 2
Diagram: 0.67 / 2
Clarity: 1 / 2

Key to the marks:better valuebetter, but not conclusivetie

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.

9 shared result series
Wan 2.6 Text to ImageFLUX.2 Pro
Text to Image ArenaBlind preference from the same prompt, higher is better
Wan 2.6 Text to ImageNo clear lead1,210 Elo
FLUX.2 Pro1,208 Elo
LMArena Text to Image: 3D modelingBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,145.884
FLUX.2 ProNo clear lead1,149.387
LMArena Text to Image: ArtBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,156.609
FLUX.2 ProNo clear lead1,163.048
LMArena Text to Image: CartoonBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,145.336
FLUX.2 ProHigher score1,161.019
LMArena Text to Image: Commercial designBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,148.092
FLUX.2 ProNo clear lead1,156.46
LMArena Text to Image: OverallBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,135.885
FLUX.2 ProHigher score1,154.786
LMArena Text to Image: PhotorealismBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,128.051
FLUX.2 ProHigher score1,151.499
LMArena Text to Image: PortraitsBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,122.435
FLUX.2 ProHigher score1,146.513
LMArena Text to Image: Text renderingBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,148.761
FLUX.2 ProNo clear lead1,156.451

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for Wan 2.6 Text to Image and FLUX.2 Pro
BenchmarkWan 2.6 Text to ImageFLUX.2 ProSource
Text to Image Arena
No clear lead1,210 Elo
Rank 30, 95% confidence interval: ±10, 4,282 ratings
1,208 Elo
Rank 31, 95% confidence interval: ±9, 8,915 ratings
Artificial AnalysisRetrieved 2026-08-26
LMArena Text to Image: 3D modeling
1,145.884
Rank 31, 95% confidence interval: ±6.43, 17,534 ratings
No clear lead1,149.387
Rank 28, 95% confidence interval: ±6.29, 17,241 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Art
1,156.609
Rank 27, 95% confidence interval: ±5.91, 23,269 ratings
No clear lead1,163.048
Rank 26, 95% confidence interval: ±5.76, 25,069 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Cartoon
1,145.336
Rank 32, 95% confidence interval: ±4.52, 73,425 ratings
Higher score1,161.019
Rank 27, 95% confidence interval: ±4.57, 66,010 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Commercial design
1,148.092
Rank 31, 95% confidence interval: ±4.37, 69,457 ratings
No clear lead1,156.46
Rank 26, 95% confidence interval: ±4.31, 64,392 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Overall
1,135.885
Rank 35, 95% confidence interval: ±3.05, 182,381 ratings
Higher score1,154.786
Rank 26, 95% confidence interval: ±3.06, 175,196 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Photorealism
1,128.051
Rank 39, 95% confidence interval: ±4.4, 74,727 ratings
Higher score1,151.499
Rank 30, 95% confidence interval: ±4.29, 74,515 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Portraits
1,122.435
Rank 44, 95% confidence interval: ±5.31, 40,808 ratings
Higher score1,146.513
Rank 31, 95% confidence interval: ±5.23, 39,262 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Text rendering
1,148.761
Rank 31, 95% confidence interval: ±4.55, 66,011 ratings
No clear lead1,156.451
Rank 27, 95% confidence interval: ±4.5, 59,326 ratings
LMArenaRetrieved 2026-08-26

Key to the marks:better valuebetter, but not conclusivetie

Visual comparison

Sample images

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

FLUX.2 Pro, Character and detail
Wan 2.6 Text to Image, Character and detail
Wan 2.6 Text to Image
FLUX.2 Pro
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
FLUX.2 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 12:30 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

FLUX.2 Pro, image SHA 256: 9eec1a6900b6031703d2e797b93c2aba6c5f45b4807b560a0bf1e37eac9e20f2

FLUX.2 Pro, request SHA 256: 8c40a10f47e1407d26ab10f5c9d815e533bce798cf0adf5a9c1e6ddfc3f3584e

Infographic

Numbers, labels, and visual organization

FLUX.2 Pro, Infographic
Wan 2.6 Text to Image, Infographic
Wan 2.6 Text to Image
FLUX.2 Pro
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
FLUX.2 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 12:31 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

FLUX.2 Pro, image SHA 256: ea47f772cdfa26bf21528ae7e09d245eb7a3be7d3185af15cedd7d21acdfbb09

FLUX.2 Pro, request SHA 256: 9ef85d9cf32f0f9b974eeb0b389c1fbf1403f4e266af0ce98e0ca83da0fe23c1

Product photography

Materials, reflections, and fine details

FLUX.2 Pro, Product photography
Wan 2.6 Text to Image, Product photography
Wan 2.6 Text to Image
FLUX.2 Pro
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
FLUX.2 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 12:30 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

FLUX.2 Pro, image SHA 256: 4d9b922f59b329c5ac3532222c8e340e7fdcb1920ce6f03ad9299f25a6beec43

FLUX.2 Pro, request SHA 256: 96c65fc91b32da0a02970457fbf90c6928e1f7a5b45177fa3ef08f8bc32c9b82

Typography and layout

Legible text, hierarchy, and composition

FLUX.2 Pro, Typography and layout
Wan 2.6 Text to Image, Typography and layout
Wan 2.6 Text to Image
FLUX.2 Pro
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
FLUX.2 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 2:02 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

FLUX.2 Pro, image SHA 256: 5a5d8ccd657d7522bc39fdec4b0aecf198b42c282a5aefde9461239dfe5c0396

FLUX.2 Pro, request SHA 256: 3e170f568fe4b6040423f0df065d9227f586d5da3d911a4251bcc368dfe333c0

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

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View the complete image model comparison