Nano Banana Provs.SANA-1.5 4.8B 1024px
Which one is better?
In our own test, Nano Banana Pro 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.
Result for “Typography and layout”:Nano Banana Pro ahead
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 Pro: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:20 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 Pro image SHA 256: eed53dcc080d2710e6e890382f6273382a12e2c5b079b8813962bff0c92b5df7
SANA-1.5 4.8B 1024px image SHA 256: 97badf740db81367de7d6af73cc9313f1dfc4fe8383183ddbd9fc12cc67b35ee
Infographic
Nano Banana Pro: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:20 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 Pro image SHA 256: 4ff7d3965d18e197f00647c35d6aed5a86a376c92779ee9e748c598aebafa51d
SANA-1.5 4.8B 1024px image SHA 256: 6c23b2df82d085e155c012c16915d04dd3a1aacdb78c9604eb74668309e07b38
Product photography
Nano Banana Pro: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:19 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 Pro image SHA 256: d50770f426cac7920c9ffdaf210db2f11cdc51a8cf0b7ef52e6cd26850b1de70
SANA-1.5 4.8B 1024px image SHA 256: 0ceaa96a83bc85d12c7f56b925226a346ee9b42f831fa5a9592edc4fc1e7ce81
Typography and layout
Nano Banana Pro: 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 Pro image SHA 256: fc173de00b0df04772321167cfeabb55418d3d016081e7ebfb589c69a629b712
SANA-1.5 4.8B 1024px image SHA 256: 8371e0e35ad4472b71165cedd1940eb0339b19c24f801c3b956874c090a327fc
The numbers at a glance
Nano Banana Pro
Rank 12 of 21
SANA-1.5 4.8B 1024px
not in the arena
Nano Banana Pro
Rank 35 of 108
SANA-1.5 4.8B 1024px
Rank 106 of 108
Nano Banana Pro
expensive
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 Pro
- Subscription
- At Google from €4.99 a month (Google AI Plus, with limited credits). Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 79 plans in Germany.
- Via API
- $0.13 per image, 100 images $13.40.
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.
| Kennzahl | Nano Banana Pro | SANA-1.5 4.8B 1024px |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 1,246 | n/a |
| Arena rank | Rank 12 of 21 | n/a |
| Arena votesmore votes, a safer rating | 191,257 | n/a |
| GraduallyBenchour own rating, 0 to 100 | 66 | 4 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 92 | 8 |
| Product photographyMaterials, reflections, and fine details | 70 | 1 |
| Character and detailAnatomy, clothing, and spatial consistency | 37 | 0 |
| InfographicNumbers, labels, and visual organization | 65 | 6 |
| API price | ||
| Per imagelower is better | $0.13 | n/a |
| 100 images | $13.40 | n/a |
| Profile | ||
| Released | November 2025 | Mar 16, 2025 |
| Weightsopen means: runs locally | proprietary | open |
| Access | API, Web app | local |
| Parameters | not published | 4.8 billion |
| Largest output | 4K | not consistently published |
| Plans in Germanynaming exactly this model | 79 | n/a |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Nano Banana Pro 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 Pro 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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