Llama 3.3 70B vs TypeSafe AI Jev
A direct, empirical evaluation of Llama 3.3 70B (Meta AI) against TypeSafe AI Jev (TypeSafe AI (Diogo Almeida)).
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
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 | Llama 3.3 70B | TypeSafe AI Jev |
|---|---|---|
| SWE-bench Verified | 38.8% | 68.4% |
| MMLU-Pro | 68.3% | 84.6% |
| MATH-500 | 75.8% | 91.2% |
| Context Window | 128,000 tokens | 32,000 tokens |
| Input Pricing (per 1M) | $0.15 | $0.06 |
| Output Pricing (per 1M) | $0.60 | $0.12 |