Nano Banana 3 Pro vs TypeSafe AI Jev
A direct, empirical evaluation of Nano Banana 3 Pro (Google DeepMind) against TypeSafe AI Jev (TypeSafe AI (Diogo Almeida)).
Nano Banana 3 Pro
Developed by Google DeepMind · 2.8 Billion Parameters parameters
Zero-latency mobile on-device reasoning, 82ms TTFT, offline audio-visual tool execution, and local Android system integration.
TypeSafe AI Jev
Developed by TypeSafe AI (Diogo Almeida) · Non-Autoregressive System 1 Transformer parameters
Sub-15ms operational tasks, 100% schema-valid JSON extraction, deterministic tool dispatch, and high-throughput agent routing.
| Metric | Nano Banana 3 Pro | TypeSafe AI Jev |
|---|---|---|
| SWE-bench Verified | 58.6% | 68.4% |
| MMLU-Pro | 74.2% | 84.6% |
| MATH-500 | 82.5% | 91.2% |
| Context Window | 131,072 tokens | 32,000 tokens |
| Input Pricing (per 1M) | $0.00 | $0.06 |
| Output Pricing (per 1M) | $0.00 | $0.12 |