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Nano Banana 2 Litevs.SANA-1.5 4.8B 1024px

Which one is better?

In our own test, Nano Banana 2 Lite leads. SANA-1.5 4.8B 1024px has no arena rating yet. SANA-1.5 4.8B 1024px has no API price.

Test images

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

Nano Banana 2 Lite: Product photography, first image from the fixed test run
Nano Banana 2 Lite87 out of 100
SANA-1.5 4.8B 1024px: Product photography, first image from the fixed test run
SANA-1.5 4.8B 1024px1 out of 100

Result for “Product photography”:Nano Banana 2 Lite 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

Nano Banana 2 Lite: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:21 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=6914427587596023045; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:42 PM. Source

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

Nano Banana 2 Lite image SHA 256: 6c7d17b2a84129cbeba7d52c8de703773e9296562d9d603688256d2717e65a0c

SANA-1.5 4.8B 1024px image SHA 256: 97badf740db81367de7d6af73cc9313f1dfc4fe8383183ddbd9fc12cc67b35ee

Infographic

Nano Banana 2 Lite: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:21 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=3447101042619426797; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:43 PM. Source

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

Nano Banana 2 Lite image SHA 256: 11d8b5ddf15becefa6e4e32fca21729ff7d57f561a10e3a2b4b6f5c7a0aed6ef

SANA-1.5 4.8B 1024px image SHA 256: 6c23b2df82d085e155c012c16915d04dd3a1aacdb78c9604eb74668309e07b38

Product photography

Nano Banana 2 Lite: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:21 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1122699157863902383; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:41 PM. Source

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

Nano Banana 2 Lite image SHA 256: 30d9b09b92917eca84675448260a083ad368d9ea25376dabccac0f526f3a3ab7

SANA-1.5 4.8B 1024px image SHA 256: 0ceaa96a83bc85d12c7f56b925226a346ee9b42f831fa5a9592edc4fc1e7ce81

Typography and layout

Nano Banana 2 Lite: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 2:00 PM. Source

SANA-1.5 4.8B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers@9468102c3cebb657f8c4b5f1e5a71e989a15f10d; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=623973358981804157; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input; optional instruction disabled, generated Nov 2, 2026, 5:40 PM. Source

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

Nano Banana 2 Lite image SHA 256: 9fab80fe1ad268b9ceceb4ef61ef1dd0e965dd3f28d377af7cf9cf201fdf47fa

SANA-1.5 4.8B 1024px image SHA 256: 8371e0e35ad4472b71165cedd1940eb0339b19c24f801c3b956874c090a327fc

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,249

Nano Banana 2 Lite

Rank 11 of 21

n/a

SANA-1.5 4.8B 1024px

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
71

Nano Banana 2 Lite

Rank 21 of 108

4

SANA-1.5 4.8B 1024px

Rank 106 of 108

Price per imagedollars through the API · lower is better
$0.034

Nano Banana 2 Lite

fairly cheap

n/a

SANA-1.5 4.8B 1024px

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 Lite

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). 51 plans in Germany.
Via API
$0.034 per image, 100 images $3.36.

SANA-1.5 4.8B 1024px

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.

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 2 LiteSANA-1.5 4.8B 1024px
Ratings
Arena ratingfrom votes by users, higher is better1,249n/a
Arena rankRank 11 of 21n/a
Arena votesmore votes, a safer rating17,787n/a
GraduallyBenchour own rating, 0 to 100714
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition828
Product photographyMaterials, reflections, and fine details871
Character and detailAnatomy, clothing, and spatial consistency470
InfographicNumbers, labels, and visual organization666
API price
Per imagelower is better$0.034n/a
100 images$3.36n/a
Profile
ReleasedJune 2026Mar 16, 2025
Weightsopen means: runs locallyproprietaryopen
AccessAPI, Web applocal
Parametersnot published4.8 billion
Largest output1Knot consistently published
Plans in Germanynaming exactly this model51n/a

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

Sources: Nano Banana 2 Lite model source (verified Aug 15, 2026) · SANA-1.5 4.8B 1024px 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 Lite and SANA-1.5 4.8B 1024px from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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