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Nano Banana 2vs.Stable Diffusion 3.5 Large Turbo

Which one is better?

In our own test both are on par. Stable Diffusion 3.5 Large Turbo has no arena rating yet. Stable Diffusion 3.5 Large Turbo has no API price.

Test images

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

Nano Banana 2: Typography and layout, first image from the fixed test run
Nano Banana 2100 out of 100
Stable Diffusion 3.5 Large Turbo: Typography and layout, first image from the fixed test run
Stable Diffusion 3.5 Large Turbo26 out of 100

Result for “Typography and layout”:Nano Banana 2 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

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

Nano Banana 2: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:15 PM. Source

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

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

Nano Banana 2 image SHA 256: 5d3a70ed3fe3328484725565d9c91fb25fc7f745bd66872dae432444493a83de

Stable Diffusion 3.5 Large Turbo image SHA 256: 312460ab73a4a22292bf6fbce099d86a22b0b8418f1516351f12f181b5574c76

Infographic

Nano Banana 2: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:15 PM. Source

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

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

Nano Banana 2 image SHA 256: 66123dd4e8cd5d22ecdca9cca8e4c5853a8046370aa4861ffee807a8c122c769

Stable Diffusion 3.5 Large Turbo image SHA 256: 16be803360e5a8025715fd221a0a623d1d68dc1ef38063d12c5abc1298e68d69

Product photography

Nano Banana 2: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:15 PM. Source

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

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

Nano Banana 2 image SHA 256: 509871921c450f6f07ec28f91a380992db1b3017108fd5928fe0aa9670a1ecdc

Stable Diffusion 3.5 Large Turbo image SHA 256: 1d9665660c7b05a58edc1b68c7f9d773ec4fbcaa41f15d3d691df764d5314b82

Typography and layout

Nano Banana 2: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 1:59 PM. Source

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

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

Nano Banana 2 image SHA 256: 06ae79c07d1604d3da3bbfa80bac73ac15c88af5cb8c013faaf5c9ea93092305

Stable Diffusion 3.5 Large Turbo image SHA 256: e50fd19573ee42b2d6419b51f45bf29e04931ae1b583868d340fc05d973975ea

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,257

Nano Banana 2

Rank 8 of 21

n/a

Stable Diffusion 3.5 Large Turbo

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
61

Nano Banana 2

Rank 51 of 108

27

Stable Diffusion 3.5 Large Turbo

Rank 88 of 108

Price per imagedollars through the API · lower is better
$0.067

Nano Banana 2

fairly expensive

n/a

Stable Diffusion 3.5 Large Turbo

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.

Nano Banana 2

Subscription
Free to use at Google (Google AI Free, with limited credits), more from €4.99 a month (Google AI Plus, with limited credits). Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 73 plans in Germany.
Via API
$0.067 per image, 100 images $6.70.

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.

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

Arena rating (LMArena) from Nov 6, 2026 · GraduallyBench from Nov 3, 2026 · API prices from Nov 6, 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.

KennzahlNano Banana 2Stable Diffusion 3.5 Large Turbo
Ratings
Arena ratingfrom votes by users, higher is better1,257n/a
Arena rankRank 8 of 21n/a
Arena votesmore votes, a safer rating77,495n/a
GraduallyBenchour own rating, 0 to 1006127
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition10026
Product photographyMaterials, reflections, and fine details4515
Character and detailAnatomy, clothing, and spatial consistency3651
InfographicNumbers, labels, and visual organization6317
API price
Per imagelower is better$0.067n/a
100 images$6.70n/a
Profile
ReleasedFebruary 2026Oct 22, 2024
Weightsopen means: runs locallyproprietaryopen
LifecyclePrevious generation to Nano Banana 2.1; Google recommends Nano Banana 2.1 for all new projects, the stable API has existed since May 28, 2026 and no shutdown is announced, the arena entry names the earlier pre-release configurationno notice
AccessAPI, Web appAPI, local
Parametersnot publishednot published
Largest output4Knot consistently published
Plans in Germanynaming exactly this model73n/a

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

Sources: Nano Banana 2 model source, status source (verified Aug 15, 2026) · Stable Diffusion 3.5 Large 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 Nano Banana 2 and Stable Diffusion 3.5 Large Turbo from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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