Stable Diffusion 3.5 Largevs.Z-Image Turbo

Which one is better?

In our own test, Z-Image Turbo leads. Z-Image Turbo has no arena rating yet. Neither has an API price.

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

Stable Diffusion 3.5 Large: Typography and layout, first image from the fixed test run — Stable Diffusion 3.5 Large11 out of 100

Z-Image Turbo: Typography and layout, first image from the fixed test run — Z-Image Turbo54 out of 100

Result for “Typography and layout”:Z-Image Turbo 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

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=7087247023770270000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

Z-Image Turbo: fal, requested 1024x1024, n=1, seed=457367499, prompt expansion disabled, estimated cost $0.010000, generated Nov 1, 2026, 9:35 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: e748006fe56e442ad347e3f994f18b86ee1739f20dcee063aa7a03ee710c5d54

Z-Image Turbo image SHA 256: 5297796931ae8a9259947d2ee85881444a6408266aa7c9bc45d365b56bd11fe1

Infographic

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=12166653711354006000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

Z-Image Turbo: fal, requested 1024x1024, n=1, seed=364147116, prompt expansion disabled, estimated cost $0.010000, generated Nov 1, 2026, 9:35 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: 4eb0fd741ef42e6d3fee4b1280cdfb098a0a04009b139051963895892e349f1e

Z-Image Turbo image SHA 256: 2a0bbce06ee9f7e009876b2d9abc02657f7be5535cd79ab7f37df0bf61b141a8

Product photography

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=13346308312015933000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

Z-Image Turbo: fal, requested 1024x1024, n=1, seed=453185405, prompt expansion disabled, estimated cost $0.010000, generated Nov 1, 2026, 9:35 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: ea9a7401dee8859ec2cb96af9f7ca29a177ef2202f52f629d8ce9f5839bd4061

Z-Image Turbo image SHA 256: 16330b5b71c71290aaa2994dd589e5e2088712d286fddcee8046e56c300f124e

Typography and layout

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=16632333557910893000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

Z-Image Turbo: fal, requested 1024x1024, n=1, seed=249593273, prompt expansion disabled, estimated cost $0.010000, generated Nov 1, 2026, 9:35 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: e2994b1883a245b1c8c447957d121ea89d93aafff149029aa4e8507dbb769f9a

Z-Image Turbo image SHA 256: 0a9ee8166b04fc677b96ca3f74d8fcf37657d812f81d3b94940092aa661dba50

The numbers at a glance

Arena ratingfrom votes by users · higher is better

938

Stable Diffusion 3.5 Large

Rank 22 of 22

n/a

Z-Image Turbo

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Stable Diffusion 3.5 Large

Rank 67 of 74

Z-Image Turbo

Rank 54 of 74

Price per imagedollars through the API · lower is better

n/a

Stable Diffusion 3.5 Large

no API price

n/a

Z-Image Turbo

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.

Stable Diffusion 3.5 Large

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

Z-Image Turbo

Subscription: No Tongyi-MAI / Alibaba subscription includes this model. Through other providers from ≈ €12.78 a month (Recraft Basic, with limited credits). 3 plans in Germany.
Via API: No API price known. Access: API, local, Web app.
License: Open weights.

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

Arena rating (LMArena) from Oct 28, 2026 · 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.

Kennzahl	Stable Diffusion 3.5 Large	Z-Image Turbo
Ratings
Arena ratingfrom votes by users, higher is better	938	n/a
Arena rank	Rank 22 of 22	n/a
Arena votesmore votes, a safer rating	23,396	n/a
GraduallyBenchour own rating, 0 to 100	18	37
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	11	54
Product photographyMaterials, reflections, and fine details	14	28
Character and detailAnatomy, clothing, and spatial consistency	23	46
InfographicNumbers, labels, and visual organization	23	21
API price
Per imagelower is better	n/a	n/a
100 images	n/a	n/a
Profile
Released	Oct 22, 2024	Nov 26, 2025
Weightsopen means: runs locally	open	open
Access	API, local	API, local, Web app
Parameters	8.1 billion	not published
Largest output	1 Megapixel	2K
Plans in Germanynaming exactly this model	n/a	3

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

Sources: Stable Diffusion 3.5 Large model source (verified Aug 15, 2026) · Z-Image Turbo 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 Stable Diffusion 3.5 Large and Z-Image Turbo from the same arena and category. Older model versions are not used as substitutes.

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More matchups

Compare Stable Diffusion 3.5 Large and Z-Image Turbo with other important image models.

View the complete image model comparison

Same prompt, two images

The numbers at a glance

Stable Diffusion 3.5 Large

Z-Image Turbo

All data side by side

Arena ratings by category

No shared arena score in the stored snapshot

Compare another matchup

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