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Stable Diffusion 3.5 Large Turbovs.LLaDA-Image

Which one is better?

We have not tested Stable Diffusion 3.5 Large Turbo or LLaDA-Image ourselves yet. Neither is in the arena. Neither has an API price.

Same prompt, two images

Same task, the first image of each.

No image from the four fixed tasks for Stable Diffusion 3.5 Large Turbo yet.This model does not yet have a complete GraduallyBench run.

Stable Diffusion 3.5 Large Turbonot tested yet

No image from the four fixed tasks for LLaDA-Image yet.This model does not yet have a complete GraduallyBench run.

LLaDA-Imagenot tested yet

Result for “Typography and layout”:no comparison

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.

Missing image run for Stable Diffusion 3.5 Large Turbo

This model does not yet have a complete GraduallyBench run. Run the missing fixed tasks, archive the first output of each, and evaluate them blind.

Documentation

Missing image run for LLaDA-Image

This model does not yet have a complete GraduallyBench run. Run the missing fixed tasks, archive the first output of each, and evaluate them blind.

Documentation

The numbers at a glance

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

Stable Diffusion 3.5 Large Turbo

not in the arena

n/a

LLaDA-Image

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
n/a

Stable Diffusion 3.5 Large Turbo

not tested yet

n/a

LLaDA-Image

not tested yet

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

Stable Diffusion 3.5 Large Turbo

no API price

n/a

LLaDA-Image

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 Turbo

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

LLaDA-Image

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 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.

KennzahlStable Diffusion 3.5 Large TurboLLaDA-Image
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 100n/an/a
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and compositionn/an/a
Product photographyMaterials, reflections, and fine detailsn/an/a
Character and detailAnatomy, clothing, and spatial consistencyn/an/a
InfographicNumbers, labels, and visual organizationn/an/a
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedOct 22, 2024Sep 4, 2026
Weightsopen means: runs locallyopenopen
AccessAPI, locallocal
Parametersnot published6 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: Stable Diffusion 3.5 Large Turbo model source (verified Nov 1, 2026) · LLaDA-Image 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 Turbo and LLaDA-Image from the same arena and category. Older model versions are not used as substitutes.

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