Nano Banana 2 Lite vs Gemma 4 12B
Pricing, benchmarks, and use case comparison
Quick take
- •Gemma 4 12B is meaningfully stronger at cost efficiency (92 vs 9).
Specs comparison
| Nano Banana 2 Lite | Gemma 4 12B | |
|---|---|---|
| Provider | ||
| Type | Closed source | Open source |
| Context window | Not announced | ✓256K tokens |
| Input / 1M tokens | Not announced | Free (self-host) |
| Output / 1M tokens | 33.6 | Free (self-host) |
| Release date | 2026-06 | 2026-06 |
Benchmarks
| Benchmark | Nano Banana 2 Lite | Gemma 4 12B |
|---|---|---|
| Arena.ai Text-to-Image Leaderboard | Ranked #5 | - |
| Text-to-Image Elo Score | 1251 | - |
| Single-Image Editing Elo Score | 1308 | - |
| Multiple-Image Editing Elo Score | 1294 | - |
| Total parameters | - | ~11.95B |
| Context window | - | 256K tokens |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Nano Banana 2 Lite if...
- →When cost-per-sample is the primary constraint
- →For workflows requiring 100+ images per session
- →When generation latency must be under 5 seconds
- →For rapid prototyping and exploration
Choose Gemma 4 12B if...
- →You need an open, self-hostable multimodal model
- →Running on a single consumer GPU or a laptop
- →Data-privacy or on-prem requirements
- →You want a permissive license (Apache 2.0) for commercial use