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- Nano Banana 2 Lite vs. SANA-1.5 1.6B 1024px
Nano Banana 2 Litevs.SANA-1.5 1.6B 1024px
Which one is better?
In our own test, Nano Banana 2 Lite leads. SANA-1.5 1.6B 1024px has no arena rating yet. SANA-1.5 1.6B 1024px has no API price.
Test images
Same task, the first image of each. The task with the biggest difference is preselected.


Result for “Product photography”:Nano Banana 2 Lite ahead
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 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=4913908686846438154; 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, 5:32 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Nano Banana 2 Lite image SHA 256: 6c7d17b2a84129cbeba7d52c8de703773e9296562d9d603688256d2717e65a0c
SANA-1.5 1.6B 1024px image SHA 256: abc8d1fcb514ea7754211b79030abbf92ef83a61e546f19b217ccb06df0aaf45
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 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1936313402304398258; 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, 5:33 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Nano Banana 2 Lite image SHA 256: 11d8b5ddf15becefa6e4e32fca21729ff7d57f561a10e3a2b4b6f5c7a0aed6ef
SANA-1.5 1.6B 1024px image SHA 256: 828815adaab125d67312b64061f9b5a448558e9ac56ec9aa5ce8cf00cb63c481
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 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=1353667313865032696; 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, 5:32 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Nano Banana 2 Lite image SHA 256: 30d9b09b92917eca84675448260a083ad368d9ea25376dabccac0f526f3a3ab7
SANA-1.5 1.6B 1024px image SHA 256: a43c512ad071c0d7526e16f69874b653f073c532403114299c8fde43770a72c8
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 1.6B 1024px: manual, local PyTorch 2.13.0, Diffusers 0.36.0; Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers@b77948f2b4eed5c728e9b828ccff07f7427b43cc; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=2028788407160516328; 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; two submissions: first attempt produced no image after a documented MPS VAE decoding crash; technical repeat kept the same prompt and seed, generated Nov 2, 2026, 5:31 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Nano Banana 2 Lite image SHA 256: 9fab80fe1ad268b9ceceb4ef61ef1dd0e965dd3f28d377af7cf9cf201fdf47fa
SANA-1.5 1.6B 1024px image SHA 256: 7c58a1c863d5b8d22d06ed159b89aa64d13cf9a44f7b3d4871683f491f0bb75c
The numbers at a glance
Nano Banana 2 Lite
Rank 11 of 21
SANA-1.5 1.6B 1024px
not in the arena
Nano Banana 2 Lite
Rank 21 of 108
SANA-1.5 1.6B 1024px
Rank 107 of 108
Nano Banana 2 Lite
fairly cheap
SANA-1.5 1.6B 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 1.6B 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.
| Kennzahl | Nano Banana 2 Lite | SANA-1.5 1.6B 1024px |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 1,249 | n/a |
| Arena rank | Rank 11 of 21 | n/a |
| Arena votesmore votes, a safer rating | 17,787 | n/a |
| GraduallyBenchour own rating, 0 to 100 | 71 | 4 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 82 | 3 |
| Product photographyMaterials, reflections, and fine details | 87 | 0 |
| Character and detailAnatomy, clothing, and spatial consistency | 47 | 4 |
| InfographicNumbers, labels, and visual organization | 66 | 7 |
| API price | ||
| Per imagelower is better | $0.034 | n/a |
| 100 images | $3.36 | n/a |
| Profile | ||
| Released | June 2026 | Mar 16, 2025 |
| Weightsopen means: runs locally | proprietary | open |
| Access | API, Web app | local |
| Parameters | not published | 1.6 billion |
| Largest output | 1K | not consistently published |
| Plans in Germanynaming exactly this model | 51 | n/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 1.6B 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 1.6B 1024px from the same arena and category. Older model versions are not used as substitutes.
More comparisons
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