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Head-to-head comparison

FLUX.2 Flex vs. Wan 2.6 Text to Image

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
13
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 FLUX.2 Flex and Wan 2.6 Text to Image
AttributeFLUX.2 FlexWan 2.6 Text to Image
ProviderBlack Forest LabsAlibaba
ReleasedNovember 2025January 2026
AccessAPI, Web appAPI
LifecycleNo separate lifecycle noticeNo separate lifecycle notice
WeightsProprietaryProprietary
ParametersNot publishedNot published
Maximum output4 Megapixel2K
Arena configurationFlexText to Image
Text-to-image price$60 per 1,000 images$30 per 1,000 images
Editing price$120 per 1,000 imagesNo arena entry
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-08-15
FLUX.2 FlexWan 2.6 Text to Image
Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
FLUX.2 Flex$60
Wan 2.6 Text to ImageLower price$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. No exact shared result from the integrated research benchmarks is available for this pair.

FLUX.2 FlexWan 2.6 Text to Image
Gradually sample test: Typography and layoutMean of three blind ranks across all 28 first outputs, n = 1 each
FLUX.2 FlexHigher blind-rank score76.6 / 100
Wan 2.6 Text to Image14.8 / 100
Gradually sample test: Product photographyMean of three blind ranks across all 28 first outputs, n = 1 each
FLUX.2 FlexHigher blind-rank score46.9 / 100
Wan 2.6 Text to Image25.9 / 100
Gradually sample test: Character and detailMean of three blind ranks across all 28 first outputs, n = 1 each
FLUX.2 Flex39.5 / 100
Wan 2.6 Text to ImageHigher blind-rank score66.7 / 100
Gradually sample test: InfographicMean of three blind ranks across all 28 first outputs, n = 1 each
FLUX.2 Flex25.9 / 100
Wan 2.6 Text to ImageHigher blind-rank score49.4 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for FLUX.2 Flex and Wan 2.6 Text to Image
BenchmarkFLUX.2 FlexWan 2.6 Text to Image
Gradually sample test: Typography and layout
Higher blind-rank score76.6 / 100
Mean rank: 7.33 (6 / 10 / 6)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1.33 / 2
Layout: 1 / 2
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
Gradually sample test: Product photography
Higher blind-rank score46.9 / 100
Mean rank: 15.33 (12 / 19 / 15)
Five rubric scores
Subject: 1.33 / 2
Time: 1.33 / 2
Watch details: 1.33 / 2
Photography: 1.33 / 2
Exclusions: 1.33 / 2
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
Gradually sample test: Character and detail
39.5 / 100
Mean rank: 17.33 (27 / 7 / 18)
Five rubric scores
Scene: 1.33 / 2
Wardrobe: 1.33 / 2
Anatomy: 1.33 / 2
Props: 1 / 2
Environment: 1 / 2
Higher blind-rank score66.7 / 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
Gradually sample test: Infographic
25.9 / 100
Mean rank: 21 (21 / 19 / 23)
Five rubric scores
Title: 1.67 / 2
Sequence: 1 / 2
Labels: 1 / 2
Diagram: 1 / 2
Clarity: 1 / 2
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

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
FLUX.2 FlexWan 2.6 Text to Image
Text to Image ArenaBlind preference from the same prompt, higher is better
FLUX.2 FlexNo clear lead1,224 Elo
Wan 2.6 Text to Image1,210 Elo
LMArena Text to Image: 3D modelingBlind preference from the same prompt, higher is better
FLUX.2 FlexHigher score1,171.967
Wan 2.6 Text to Image1,145.884
LMArena Text to Image: ArtBlind preference from the same prompt, higher is better
FLUX.2 Flex1,155.954
Wan 2.6 Text to ImageNo clear lead1,156.609
LMArena Text to Image: CartoonBlind preference from the same prompt, higher is better
FLUX.2 FlexHigher score1,162.335
Wan 2.6 Text to Image1,145.336
LMArena Text to Image: Commercial designBlind preference from the same prompt, higher is better
FLUX.2 FlexHigher score1,173.137
Wan 2.6 Text to Image1,148.092
LMArena Text to Image: OverallBlind preference from the same prompt, higher is better
FLUX.2 FlexHigher score1,156.466
Wan 2.6 Text to Image1,135.885
LMArena Text to Image: PhotorealismBlind preference from the same prompt, higher is better
FLUX.2 FlexHigher score1,146.683
Wan 2.6 Text to Image1,128.051
LMArena Text to Image: PortraitsBlind preference from the same prompt, higher is better
FLUX.2 FlexHigher score1,144.533
Wan 2.6 Text to Image1,122.435
LMArena Text to Image: Text renderingBlind preference from the same prompt, higher is better
FLUX.2 FlexHigher score1,172.004
Wan 2.6 Text to Image1,148.761

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for FLUX.2 Flex and Wan 2.6 Text to Image
BenchmarkFLUX.2 FlexWan 2.6 Text to ImageSource
Text to Image Arena
No clear lead1,224 Elo
Rank 19, 95% confidence interval: ±10, 5,047 ratings
1,210 Elo
Rank 30, 95% confidence interval: ±10, 4,282 ratings
Artificial AnalysisRetrieved 2026-08-26
LMArena Text to Image: 3D modeling
Higher score1,171.967
Rank 19, 95% confidence interval: ±7.03, 15,066 ratings
1,145.884
Rank 31, 95% confidence interval: ±6.43, 17,534 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Art
1,155.954
Rank 28, 95% confidence interval: ±6.38, 21,779 ratings
No clear lead1,156.609
Rank 27, 95% confidence interval: ±5.91, 23,269 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Cartoon
Higher score1,162.335
Rank 26, 95% confidence interval: ±5.15, 55,850 ratings
1,145.336
Rank 32, 95% confidence interval: ±4.52, 73,425 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Commercial design
Higher score1,173.137
Rank 21, 95% confidence interval: ±4.95, 55,246 ratings
1,148.092
Rank 31, 95% confidence interval: ±4.37, 69,457 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Overall
Higher score1,156.466
Rank 25, 95% confidence interval: ±3.42, 149,402 ratings
1,135.885
Rank 35, 95% confidence interval: ±3.05, 182,381 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Photorealism
Higher score1,146.683
Rank 33, 95% confidence interval: ±4.87, 63,801 ratings
1,128.051
Rank 39, 95% confidence interval: ±4.4, 74,727 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Portraits
Higher score1,144.533
Rank 34, 95% confidence interval: ±5.82, 33,696 ratings
1,122.435
Rank 44, 95% confidence interval: ±5.31, 40,808 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Text rendering
Higher score1,172.004
Rank 22, 95% confidence interval: ±5.14, 49,969 ratings
1,148.761
Rank 31, 95% confidence interval: ±4.55, 66,011 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

Wan 2.6 Text to Image, Character and detail
FLUX.2 Flex, Character and detail
FLUX.2 Flex
Wan 2.6 Text to Image
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.

FLUX.2 Flex. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-flex, generated Aug 14, 2026, 12:25 PM. Source
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

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

Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

FLUX.2 Flex, image SHA 256: 43b43d5782192d7284de2b824dd1caaaa6b25032d22fc3f8565d438b137089f3

FLUX.2 Flex, request SHA 256: fe5b22589e6505017dc44f4729b1bb60b15820ba3673354d03a69c8b82831953

Wan 2.6 Text to Image, image SHA 256: cf49d7136a442f4f1c1ae29af99e917aa83bcbf501fdacfe3a13a3b3e74d7f9a

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

Infographic

Numbers, labels, and visual organization

Wan 2.6 Text to Image, Infographic
FLUX.2 Flex, Infographic
FLUX.2 Flex
Wan 2.6 Text to Image
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.

FLUX.2 Flex. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-flex, generated Aug 14, 2026, 12:25 PM. Source
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

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

Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

FLUX.2 Flex, image SHA 256: 105f60cdeb71a27021ffff1ad3c0ad919df4e5c74ad83b4628fbd64a8d795a09

FLUX.2 Flex, request SHA 256: 11d4ec056332340dc822c82021ef10c6a6aa92de6e44dc931a90b7cbb6f14146

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

Wan 2.6 Text to Image, request SHA 256: d9e00f8c778897df69e719c5bf9fa73115d87abeb23d63eec50dc2280f0e29a9

Product photography

Materials, reflections, and fine details

Wan 2.6 Text to Image, Product photography
FLUX.2 Flex, Product photography
FLUX.2 Flex
Wan 2.6 Text to Image
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.

FLUX.2 Flex. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-flex, generated Aug 14, 2026, 12:25 PM. Source
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

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

Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

FLUX.2 Flex, image SHA 256: 9fef39b1500635ddbf78bcb8d3d9a68463ce952aa1fab89d12f6efe023907de7

FLUX.2 Flex, request SHA 256: 1c864c5e5d7f1e7008f15466fd0786f801ae94b17939b4f10de9a61c27766a59

Wan 2.6 Text to Image, image SHA 256: e8dbcfd0ce965814d72d676eddf74f723d476c1f78c5928c7b6efbc4eca4765e

Wan 2.6 Text to Image, request SHA 256: d1539f1db265e5a110b20b8585984ef534d0b89f51e83fd0fc51551832b669d1

Typography and layout

Legible text, hierarchy, and composition

Wan 2.6 Text to Image, Typography and layout
FLUX.2 Flex, Typography and layout
FLUX.2 Flex
Wan 2.6 Text to Image
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.

FLUX.2 Flex. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-flex, generated Aug 14, 2026, 2:01 PM. Source
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

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

Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

FLUX.2 Flex, image SHA 256: 324f87bf898593446a400abb43bd00eee015fa0a1dc160db0f864402fc0b38af

FLUX.2 Flex, request SHA 256: a0aa716f2a302bdfa59820d2e2c27cc56f730e8e2e4d5b64223d29a6979e1475

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

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

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

Compare FLUX.2 Flex and Wan 2.6 Text to Image with other important image models using the same benchmark and sample methodology.

View the complete image model comparison