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LongCat-Imagevs.SANA-1.5 4.8B 1024px

Which one is better?

In our own test, LongCat-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.

LongCat-Image: Typography and layout, first image from the fixed test run
LongCat-Image41 out of 100
SANA-1.5 4.8B 1024px: Typography and layout, first image from the fixed test run
SANA-1.5 4.8B 1024px8 out of 100

Result for “Typography and layout”:LongCat-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

LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=1234871882, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=6914427587596023045; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:42 PM. Source

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

LongCat-Image image SHA 256: 7c2d3cbf8efa756277fc1e20af0c0c7c4febec50b30244eb9b85c02c236e97ca

SANA-1.5 4.8B 1024px image SHA 256: 97badf740db81367de7d6af73cc9313f1dfc4fe8383183ddbd9fc12cc67b35ee

Infographic

LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=886012823, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=3447101042619426797; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:43 PM. Source

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

LongCat-Image image SHA 256: ce6df19ed744009c81aec8257cef3e5a4de7ea0d4985c709335ec1b50c3381fb

SANA-1.5 4.8B 1024px image SHA 256: 6c23b2df82d085e155c012c16915d04dd3a1aacdb78c9604eb74668309e07b38

Product photography

LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=1319752608, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1122699157863902383; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:41 PM. Source

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

LongCat-Image image SHA 256: 1f95d4152dfa60c5056df13bf813563a75863f4a34419344e1a59a800a46f689

SANA-1.5 4.8B 1024px image SHA 256: 0ceaa96a83bc85d12c7f56b925226a346ee9b42f831fa5a9592edc4fc1e7ce81

Typography and layout

LongCat-Image: fal, image_size=square_hd; exact native pixels are not request-configurable, n=1, seed=943200407, Estimate reserves 2 MP at Fal's $0.13 per MP rate, estimated cost $0.260000, generated Nov 2, 2026, 3:06 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=623973358981804157; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:40 PM. Source

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

LongCat-Image image SHA 256: 1d6b72ae389c339ff3011ee3c59bd77b12b5157f1fadcf0932c96ebe5313836b

SANA-1.5 4.8B 1024px image SHA 256: 8371e0e35ad4472b71165cedd1940eb0339b19c24f801c3b956874c090a327fc

The numbers at a glance

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

LongCat-Image

not in the arena

n/a

SANA-1.5 4.8B 1024px

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
33

LongCat-Image

Rank 80 of 108

4

SANA-1.5 4.8B 1024px

Rank 106 of 108

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

LongCat-Image

no API price

n/a

SANA-1.5 4.8B 1024px

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.

LongCat-Image

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

SANA-1.5 4.8B 1024px

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.

KennzahlLongCat-ImageSANA-1.5 4.8B 1024px
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 100334
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition418
Product photographyMaterials, reflections, and fine details291
Character and detailAnatomy, clothing, and spatial consistency240
InfographicNumbers, labels, and visual organization376
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedDec 5, 2025Mar 16, 2025
Weightsopen means: runs locallyopenopen
Accesslocallocal
Parameters6 billion4.8 billion
Largest outputnot consistently publishednot consistently published
Plans in Germanynaming exactly this modeln/an/a

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

Sources: LongCat-Image model source (verified Nov 1, 2026) · SANA-1.5 4.8B 1024px 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 LongCat-Image and SANA-1.5 4.8B 1024px from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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