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Wan 2.7 Image Provs.FLUX.1 Kontext [pro]

Which one is better?

In our own test, Wan 2.7 Image Pro leads. Neither is in the arena. Neither has an API price.

Same prompt, two images

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

Wan 2.7 Image Pro: Typography and layout, first image from the fixed test run
Wan 2.7 Image Pro82 out of 100
FLUX.1 Kontext [pro]: Typography and layout, first image from the fixed test run
FLUX.1 Kontext [pro]14 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

Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1941203496, estimated cost $0.075000, generated Nov 1, 2026, 9:25 PM. Source

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=1661036738, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Wan 2.7 Image Pro image SHA 256: 0bd2cf4922b58d78d0e6ec3d804aaccd427e5317066816fdc039ca5c80f4de28

FLUX.1 Kontext [pro] image SHA 256: a2b5cfe16c918f33c56d04a35a8cea5433ea17db1f41ab3f3ccefdc20791a3d1

Infographic

Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1839059937, estimated cost $0.075000, generated Nov 1, 2026, 9:26 PM. Source

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=261169301, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Wan 2.7 Image Pro image SHA 256: caa6b4e95e0676d9867358db906f1f029dd320960e9dd1b8300283a5e2723077

FLUX.1 Kontext [pro] image SHA 256: 8ec7449c0fd1b68f984aaa28dda6cb4d74a053cd88af42c10d79fac31980ffbe

Product photography

Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1277346407, estimated cost $0.075000, generated Nov 1, 2026, 9:24 PM. Source

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=3307245438, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Wan 2.7 Image Pro image SHA 256: 1ed875886c86963322fdf329bf809943b96886fb4f373197e1654256316ac67c

FLUX.1 Kontext [pro] image SHA 256: 367531e667dd9156abe9666dc571fc122174a66788d726b2b4ab06d9c8226d9d

Typography and layout

Wan 2.7 Image Pro: fal, requested 1024x1024, n=1, seed=1291974856, estimated cost $0.075000, generated Nov 1, 2026, 9:23 PM. Source

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=4284980986, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Wan 2.7 Image Pro image SHA 256: 4e860e01ecb53ed47d9a3ad2be57e9f2567e8dc010e44780615f71e30713f648

FLUX.1 Kontext [pro] image SHA 256: d14a3243cc28d6996fd549722f34d49227f278151c441fa635f955e1c8140414

The numbers at a glance

Arena ratingfrom votes by users · higher is better
n/a

Wan 2.7 Image Pro

not in the arena

n/a

FLUX.1 Kontext [pro]

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
73

Wan 2.7 Image Pro

Rank 8 of 74

31

FLUX.1 Kontext [pro]

Rank 57 of 74

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

Wan 2.7 Image Pro

no API price

n/a

FLUX.1 Kontext [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.

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.

FLUX.1 Kontext [pro]

Subscription
No Black Forest Labs subscription includes this model. Through other providers from ≈ €6.39 a month (ElevenLabs Starter, with limited credits). 23 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 · 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.

KennzahlWan 2.7 Image ProFLUX.1 Kontext [pro]
Ratings
Arena ratingfrom votes by users, higher is bettern/an/a
Arena rankn/an/a
Arena votesmore votes, a safer ratingn/an/a
GraduallyBenchour own rating, 0 to 1007331
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition8214
Product photographyMaterials, reflections, and fine details8021
Character and detailAnatomy, clothing, and spatial consistency6855
InfographicNumbers, labels, and visual organization6233
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
Releasedn/an/a
Weightsopen means: runs locallyunknownunknown
Lifecycleno noticeEdit-first model line; API also supports image creation from text, but the main GraduallyBench tasks are not edit-based
AccessAPIAPI
Parametersnot publishednot published
Largest output4Knot consistently published
Plans in Germanynaming exactly this model723

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

Sources: Wan 2.7 Image Pro model source (verified Nov 1, 2026) · FLUX.1 Kontext [pro] 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 2.7 Image Pro and FLUX.1 Kontext [pro] from the same arena and category. Older model versions are not used as substitutes.

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