Nano Banana 2 Lite vs Mistral OCR 4
Pricing, benchmarks, and use case comparison
Quick take
- •Mistral OCR 4 is meaningfully stronger at multimodal (90 vs 1).
- •Nano Banana 2 Lite is open-weights (free to self-host); Mistral OCR 4 is paid API only.
Specs comparison
| Nano Banana 2 Lite | Mistral OCR 4 | |
|---|---|---|
| Provider | Mistral AI | |
| Type | Closed source | Closed source |
| Context window | Not announced | Not announced |
| Input / 1M tokens | ✓Not announced | 4000 |
| Output / 1M tokens | 33.6 | 4000 |
| Release date | 2026-06 | 2026-06 |
Benchmarks
| Benchmark | Nano Banana 2 Lite | Mistral OCR 4 |
|---|---|---|
| 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 | - |
| OlmOCRBench | - | 85.20 |
| OmniDocBench | - | 93.07 |
| Human preference (head-to-head) | - | 72% win rate |
| Human evaluation (blind) | - | 72% |
| Human Evaluation (Blind Test) | - | 72% win rate |
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 Mistral OCR 4 if...
- →You need to convert PDFs, scans, or office docs into structured text/Markdown
- →You require high-accuracy multilingual document parsing at low cost
- →You need tables, equations, and layout preserved with confidence scores
- →You must keep documents in-house (self-hosted deployment)