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Hy Image 3.5 Previewvs.SANA-1.5 1.6B 1024px

Which one is better?

In our own test, Hy Image 3.5 Preview 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.

Hy Image 3.5 Preview: Infographic, first image from the fixed test run
Hy Image 3.5 Preview71 out of 100
SANA-1.5 1.6B 1024px: Infographic, first image from the fixed test run
SANA-1.5 1.6B 1024px7 out of 100

Result for “Infographic”:Hy Image 3.5 Preview ahead

Prompt given to both modelsCreate 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.

What the rating looks at: Numbers, labels, and visual organization.

“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

Hy Image 3.5 Preview: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.024000, generated Nov 2, 2026, 3:01 PM. Source

SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=4913908686846438154; 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, 5:32 PM. Source

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

Hy Image 3.5 Preview image SHA 256: 03261ac75753d1e9cab07ba1311aa4697e6b2c93af575780d40fd2b1d718cb70

SANA-1.5 1.6B 1024px image SHA 256: abc8d1fcb514ea7754211b79030abbf92ef83a61e546f19b217ccb06df0aaf45

Infographic

Hy Image 3.5 Preview: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.024000, generated Nov 2, 2026, 3:02 PM. Source

SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1936313402304398258; 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, 5:33 PM. Source

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

Hy Image 3.5 Preview image SHA 256: 953e4cae6dbff16ccb03179c9681395c41cd69c129c2656c0f134cf5058e1210

SANA-1.5 1.6B 1024px image SHA 256: 828815adaab125d67312b64061f9b5a448558e9ac56ec9aa5ce8cf00cb63c481

Product photography

Hy Image 3.5 Preview: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.024000, generated Nov 2, 2026, 3:01 PM. Source

SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1353667313865032696; 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, 5:32 PM. Source

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

Hy Image 3.5 Preview image SHA 256: 8d1dba97e0e067970403a0632fd53ad20a566a96b2564f712c42855299bec14e

SANA-1.5 1.6B 1024px image SHA 256: a43c512ad071c0d7526e16f69874b653f073c532403114299c8fde43770a72c8

Typography and layout

Hy Image 3.5 Preview: openrouter, aspect ratio 1:1, resolution 1K, n=1, seed=provider random, actual cost $0.024000, generated Nov 2, 2026, 3:01 PM. Source

SANA-1.5 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=2028788407160516328; 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; two submissions: first attempt produced no image after a documented MPS VAE decoding crash; technical repeat kept the same prompt and seed, generated Nov 2, 2026, 5:31 PM. Source

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

Hy Image 3.5 Preview image SHA 256: e4eed56fff7004829fd7249f72597f0201bc4e0be033ccfad8987d8458585135

SANA-1.5 1.6B 1024px image SHA 256: 7c58a1c863d5b8d22d06ed159b89aa64d13cf9a44f7b3d4871683f491f0bb75c

The numbers at a glance

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

Hy Image 3.5 Preview

not in the arena

n/a

SANA-1.5 1.6B 1024px

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
45

Hy Image 3.5 Preview

Rank 66 of 108

4

SANA-1.5 1.6B 1024px

Rank 107 of 108

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

Hy Image 3.5 Preview

no API price

n/a

SANA-1.5 1.6B 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.

Hy Image 3.5 Preview

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: API.
Weights
unknown.

SANA-1.5 1.6B 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.

KennzahlHy Image 3.5 PreviewSANA-1.5 1.6B 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 100454
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition453
Product photographyMaterials, reflections, and fine details150
Character and detailAnatomy, clothing, and spatial consistency504
InfographicNumbers, labels, and visual organization717
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedSep 22, 2026Mar 16, 2025
Weightsopen means: runs locallyunknownopen
LifecyclePublic preview; T2I, I2I, and multi-turn editingno notice
AccessAPIlocal
Parametersnot published1.6 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: Hy Image 3.5 Preview model source, status source (verified Nov 1, 2026) · SANA-1.5 1.6B 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 Hy Image 3.5 Preview and SANA-1.5 1.6B 1024px from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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