Wan 2.6 Text to Imagevs.FLUX.1 Kontext [max]

Which one is better?

In our own test, Wan 2.6 Text to Image leads. Neither is in the arena. FLUX.1 Kontext [max] has no API price.

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

Wan 2.6 Text to Image: Character and detail, first image from the fixed test run — Wan 2.6 Text to Image73 out of 100

FLUX.1 Kontext [max]: Character and detail, first image from the fixed test run — FLUX.1 Kontext [max]9 out of 100

Result for “Character and detail”:Wan 2.6 Text to Image ahead

Prompt given to both modelsCreate 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.

What the rating looks at: Anatomy, clothing, and spatial consistency.

“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

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=2413815648, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Wan 2.6 Text to Image image SHA 256: cf49d7136a442f4f1c1ae29af99e917aa83bcbf501fdacfe3a13a3b3e74d7f9a

FLUX.1 Kontext [max] image SHA 256: 11ac5858ed56d1db44139faebd83b9aa3e13fb9e8cadd6748d4bfc9a20a7b85b

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

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=372152929, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Wan 2.6 Text to Image image SHA 256: 28eecbf460194ec047237c35415d934929baee9de9938bdff435cd21a4416435

FLUX.1 Kontext [max] image SHA 256: cf1d34943829e1361560aee05277bb096e19399f7d231ee114ba1e6d3a865787

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

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=314349008, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Wan 2.6 Text to Image image SHA 256: e8dbcfd0ce965814d72d676eddf74f723d476c1f78c5928c7b6efbc4eca4765e

FLUX.1 Kontext [max] image SHA 256: 85f361575b24f97fc43e88b3fdc8e6c12fb1077d95f11d1704447222bac13f59

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

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=4136483547, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:02 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Wan 2.6 Text to Image image SHA 256: 7e9557478ee297369d7680b31ab3b23a13c984981c0e0c922ef07372999122a7

FLUX.1 Kontext [max] image SHA 256: f0591cb9970c7608e7bf3a52c32c88301b622673e3c250fd9dd41d32e1673f1c

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

FLUX.1 Kontext [max]

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Wan 2.6 Text to Image

Rank 47 of 74

FLUX.1 Kontext [max]

Rank 65 of 74

Price per imagedollars through the API · lower is better

$0.03

Wan 2.6 Text to Image

cheap

n/a

FLUX.1 Kontext [max]

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.

FLUX.1 Kontext [max]

Subscription: No Black Forest Labs subscription includes this model. Through other providers from ≈ €12.78 a month (Leonardo.Ai Essential). 15 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.

Kennzahl	Wan 2.6 Text to Image	FLUX.1 Kontext [max]
Ratings
Arena ratingfrom votes by users, higher is better	n/a	n/a
Arena rank	n/a	n/a
Arena votesmore votes, a safer rating	n/a	n/a
GraduallyBenchour own rating, 0 to 100	50	22
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	30	25
Product photographyMaterials, reflections, and fine details	38	9
Character and detailAnatomy, clothing, and spatial consistency	73	9
InfographicNumbers, labels, and visual organization	60	44
API price
Per imagelower is better	$0.03	n/a
100 images	$3	n/a
Profile
Released	January 2026	n/a
Weightsopen means: runs locally	proprietary	unknown
Lifecycle	no notice	Edit-first model line; API also supports image creation from text, but the main GraduallyBench tasks are not edit-based
Access	API	API
Parameters	not published	not published
Largest output	2K	not consistently published
Plans in Germanynaming exactly this model	n/a	15

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) · FLUX.1 Kontext [max] model source, status 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 FLUX.1 Kontext [max] from the same arena and category. Older model versions are not used as substitutes.

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More matchups

Compare Wan 2.6 Text to Image and FLUX.1 Kontext [max] with other important image models.

View the complete image model comparison

Same prompt, two images

The numbers at a glance

Wan 2.6 Text to Image

FLUX.1 Kontext [max]

All data side by side

Arena ratings by category

No shared arena score in the stored snapshot

Compare another matchup

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