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Wan 2.7 Imagevs.Chroma1-Flash

Which one is better?

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

Test images

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

Wan 2.7 Image: Typography and layout, first image from the fixed test run
Wan 2.7 Image94 out of 100
Chroma1-Flash: Typography and layout, first image from the fixed test run
Chroma1-Flash16 out of 100

Result for “Typography and layout”:Wan 2.7 Image 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

Each test attempt uses the same archived prompt and one request. The first output of that attempt counts. Repeats after technical test failures are disclosed for the affected images. 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: fal, requested 1024x1024, n=1, seed=2030081785, estimated cost $0.030000, generated Nov 1, 2026, 9:22 PM. Source

Chroma1-Flash: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-Flash@093c4f63b60507234aa53a073f1f9f565b3f4336; native 1024x1024, 1:1; one request, first output; steps=16, guidance=1.0, seed=1817192317085624771; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 8:25 PM. Source

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

Wan 2.7 Image image SHA 256: 62258e364ab7627aa6c1d0d4214ad1cc32287ede3b059aec041acf4dcdb20cf4

Chroma1-Flash image SHA 256: e05e2caf9373cf90bfd96b30150729d99a9f58104437e9c38ea0543607b41190

Infographic

Wan 2.7 Image: fal, requested 1024x1024, n=1, seed=1843752681, estimated cost $0.030000, generated Nov 1, 2026, 9:22 PM. Source

Chroma1-Flash: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-Flash@093c4f63b60507234aa53a073f1f9f565b3f4336; native 1024x1024, 1:1; one request, first output; steps=16, guidance=1.0, seed=14241408974679486; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 8:27 PM. Source

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

Wan 2.7 Image image SHA 256: f5707f29066b971a3c094495e0ff2a1bdd0479aa5c583a2a4d3b607ce7ca0636

Chroma1-Flash image SHA 256: cf0f2160309bfc4bd6c00df8383d963af3fb1860cfa7509c6466f37afcb2bbc2

Product photography

Wan 2.7 Image: fal, requested 1024x1024, n=1, seed=1918862783, estimated cost $0.030000, generated Nov 1, 2026, 9:21 PM. Source

Chroma1-Flash: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-Flash@093c4f63b60507234aa53a073f1f9f565b3f4336; native 1024x1024, 1:1; one request, first output; steps=16, guidance=1.0, seed=4601939984165617850; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 8:24 PM. Source

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

Wan 2.7 Image image SHA 256: 6b7d5e90e75158d052d09c570b3af8fbb633ed1e20d9d84b8d23e864aeb446ac

Chroma1-Flash image SHA 256: 0c622731fd94810154ca50f7373f372c21911602c20b7cfd57451a77eb9fbbf0

Typography and layout

Wan 2.7 Image: fal, requested 1024x1024, n=1, seed=457490918, estimated cost $0.030000, generated Nov 1, 2026, 9:21 PM. Source

Chroma1-Flash: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-Flash@093c4f63b60507234aa53a073f1f9f565b3f4336; native 1024x1024, 1:1; one request, first output; steps=16, guidance=1.0, seed=5666015459258575499; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 8:23 PM. Source

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

Wan 2.7 Image image SHA 256: 60d9602757484b80c9a30506243d50d74d1160ff6998e80ba21aeb99338f5587

Chroma1-Flash image SHA 256: 9729caf8c40b655d4fb8b8a9fc2437c099dce846a6a8367d79809dd8e08cfea9

The numbers at a glance

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

Wan 2.7 Image

not in the arena

n/a

Chroma1-Flash

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
81

Wan 2.7 Image

Rank 2 of 108

24

Chroma1-Flash

Rank 92 of 108

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

Wan 2.7 Image

no API price

n/a

Chroma1-Flash

no API price

Ranks among the 21 image models with an arena rating and the 108 with a GraduallyBench run; prices compared with 28 models with an API price.

Wan 2.7 Image

Subscription
At Alibaba from ≈ €6.36 a month (Token Plan Individual Lite, with limited credits). Through other providers from €6.83 a month (Poe Basic, with limited points). 12 plans in Germany.
Via API
No API price known. Access: API.
Weights
unknown.

Chroma1-Flash

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: local.
License
Open weights.

Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.

GraduallyBench from Nov 3, 2026 · Subscription database from Sep 29, 2026 (38 days old)

All data side by side

The better value is bold. For ratings only when the gap is clear.

KennzahlWan 2.7 ImageChroma1-Flash
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 1008124
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition9416
Product photographyMaterials, reflections, and fine details8816
Character and detailAnatomy, clothing, and spatial consistency6351
InfographicNumbers, labels, and visual organization7912
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
Releasedn/an/a
Weightsopen means: runs locallyunknownopen
AccessAPIlocal
Parametersnot published8.9 billion
Largest output2Knot consistently published
Plans in Germanynaming exactly this model12n/a

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

Sources: Wan 2.7 Image model source (verified Nov 1, 2026) · Chroma1-Flash model 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 and Chroma1-Flash from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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