Hy Image 3.5 Previewvs.AuraFlow v0.3

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

AuraFlow v0.3: Infographic, first image from the fixed test run — AuraFlow v0.37 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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=8761677709905735111; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:42 PM. Source

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

Hy Image 3.5 Preview image SHA 256: 03261ac75753d1e9cab07ba1311aa4697e6b2c93af575780d40fd2b1d718cb70

AuraFlow v0.3 image SHA 256: 9d0f14ca671e82f18947b9a0d7d7587e372cb4f515ce028434fac4efbd937155

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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=3793893866514060497; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:47 PM. Source

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

Hy Image 3.5 Preview image SHA 256: 953e4cae6dbff16ccb03179c9681395c41cd69c129c2656c0f134cf5058e1210

AuraFlow v0.3 image SHA 256: d2a4ecc1c165bc861ca60133d9ff95dc9d5b1d5320763be92c8168ff8c3b8166

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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=4682738952817248216; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:37 PM. Source

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

Hy Image 3.5 Preview image SHA 256: 8d1dba97e0e067970403a0632fd53ad20a566a96b2564f712c42855299bec14e

AuraFlow v0.3 image SHA 256: 6889065a427cc29bc1c0a53b0ad0662eb24f4be885148b0ebb8f6d945bbd4749

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

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=7437917803059710684; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:31 PM. Source

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

Hy Image 3.5 Preview image SHA 256: e4eed56fff7004829fd7249f72597f0201bc4e0be033ccfad8987d8458585135

AuraFlow v0.3 image SHA 256: b6c221541210743564f6921b5e0bbc227c4d2246f6410cb0c1779c7c58d9460d

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

AuraFlow v0.3

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Hy Image 3.5 Preview

Rank 66 of 108

AuraFlow v0.3

Rank 102 of 108

Price per imagedollars through the API · lower is better

n/a

Hy Image 3.5 Preview

no API price

n/a

AuraFlow v0.3

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.

AuraFlow v0.3

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.

Kennzahl	Hy Image 3.5 Preview	AuraFlow v0.3
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	45	12
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	45	11
Product photographyMaterials, reflections, and fine details	15	15
Character and detailAnatomy, clothing, and spatial consistency	50	16
InfographicNumbers, labels, and visual organization	71	7
API price
Per imagelower is better	n/a	n/a
100 images	n/a	n/a
Profile
Released	Sep 22, 2026	n/a
Weightsopen means: runs locally	unknown	open
Lifecycle	Public preview; T2I, I2I, and multi-turn editing	no notice
Access	API	local
Parameters	not published	7 billion
Largest output	not consistently published	1,536 × 1,536 pixels
Plans in Germanynaming exactly this model	n/a	n/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) · AuraFlow v0.3 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 AuraFlow v0.3 from the same arena and category. Older model versions are not used as substitutes.

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