Stable Diffusion 3.5 Large Turbovs.Nucleus-Image

Which one is better?

In our own test, Nucleus-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.

Stable Diffusion 3.5 Large Turbo: Product photography, first image from the fixed test run — Stable Diffusion 3.5 Large Turbo15 out of 100

Nucleus-Image: Product photography, first image from the fixed test run — Nucleus-Image62 out of 100

Result for “Product photography”:Nucleus-Image ahead

Prompt given to both modelsCreate a square premium product photograph of a brushed titanium wristwatch standing upright on dark green marble. The watch has a cream dial, thin black hands set to 10:10, twelve distinct hour markers, a realistic crown, and a dark brown leather strap. Soft window light from the left, controlled reflections, shallow depth of field, no text, no logo, no extra objects.

What the rating looks at: Materials, reflections, and fine details.

“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

Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source

Nucleus-Image: fal, aspect ratio 1:1; Fal has no output-size input, n=1, seed=748477400, Upstream checkpoint documents 1024x1024; estimate reserves 2 MP at Fal's $0.01 per MP rate, estimated cost $0.020000, generated Nov 2, 2026, 3:03 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: 312460ab73a4a22292bf6fbce099d86a22b0b8418f1516351f12f181b5574c76

Nucleus-Image image SHA 256: c931159b5d8670025e00457995bc1bf8aa51176bc54271267abbd67808689aae

Infographic

Nucleus-Image: fal, aspect ratio 1:1; Fal has no output-size input, n=1, seed=956072606, Upstream checkpoint documents 1024x1024; estimate reserves 2 MP at Fal's $0.01 per MP rate, estimated cost $0.020000, generated Nov 2, 2026, 3:03 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: 16be803360e5a8025715fd221a0a623d1d68dc1ef38063d12c5abc1298e68d69

Nucleus-Image image SHA 256: 826d0bab35098adaae1c5a663d88713b7a8faa277a3ded16c1047beda0f169bf

Product photography

Nucleus-Image: fal, aspect ratio 1:1; Fal has no output-size input, n=1, seed=1580273337, Upstream checkpoint documents 1024x1024; estimate reserves 2 MP at Fal's $0.01 per MP rate, estimated cost $0.020000, generated Nov 2, 2026, 3:03 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: 1d9665660c7b05a58edc1b68c7f9d773ec4fbcaa41f15d3d691df764d5314b82

Nucleus-Image image SHA 256: f8ce2bbfd219cc3ee98d1579426cbae88d0f43880a445301396ab04b5bf2f458

Typography and layout

Nucleus-Image: fal, aspect ratio 1:1; Fal has no output-size input, n=1, seed=689548231, Upstream checkpoint documents 1024x1024; estimate reserves 2 MP at Fal's $0.01 per MP rate, estimated cost $0.020000, generated Nov 2, 2026, 3:03 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: e50fd19573ee42b2d6419b51f45bf29e04931ae1b583868d340fc05d973975ea

Nucleus-Image image SHA 256: a92e94eadcf94b661a14dc4308c6f94ca177223fca9965006dc571f5d95bacda

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

Nucleus-Image

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Stable Diffusion 3.5 Large Turbo

Rank 88 of 108

Nucleus-Image

Rank 65 of 108

Price per imagedollars through the API · lower is better

n/a

Stable Diffusion 3.5 Large Turbo

no API price

n/a

Nucleus-Image

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.

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.

Nucleus-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 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	Stable Diffusion 3.5 Large Turbo	Nucleus-Image
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	27	48
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	26	38
Product photographyMaterials, reflections, and fine details	15	62
Character and detailAnatomy, clothing, and spatial consistency	51	66
InfographicNumbers, labels, and visual organization	17	23
API price
Per imagelower is better	n/a	n/a
100 images	n/a	n/a
Profile
Released	Oct 22, 2024	n/a
Weightsopen means: runs locally	open	open
Access	API, local	local
Parameters	not published	17 billion
Largest output	not consistently published	not consistently published
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: Stable Diffusion 3.5 Large Turbo model source (verified Nov 1, 2026) · Nucleus-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 Nucleus-Image from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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