Nano Banana 2 Lite vs Gemini 3.5
Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 3.5 is meaningfully stronger at coding (90 vs 0).
- •Nano Banana 2 Lite is open-weights (free to self-host); Gemini 3.5 is paid API only.
Specs comparison
| Nano Banana 2 Lite | Gemini 3.5 | |
|---|---|---|
| Provider | Google DeepMind | |
| Type | Closed source | Closed source |
| Context window | Not announced | ✓1,048,576 tokens (Gemini 3.5 Flash; Pro variant not yet released) |
| Input / 1M tokens | ✓Not announced | $1.50 |
| Output / 1M tokens | 33.6 | $9.00 |
| Release date | 2026-06 | 2026-05 |
Benchmarks
| Benchmark | Nano Banana 2 Lite | Gemini 3.5 |
|---|---|---|
| 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 | - |
| Terminal-Bench 2.1 (coding) | - | 76.2% |
| MCP Atlas (tool use) | - | 83.6% |
| CharXiv Reasoning (multimodal) | - | 84.2% |
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 Gemini 3.5 if...
- →You need frontier agent/coding performance without frontier prices
- →Building autonomous agents that make many tool calls
- →High-throughput production workloads that were previously too costly on a Pro model
- →You want a strong default multimodal model with a 1M-token context window