Xiaomi MiMo-V2.6 Pro vs TypeSafe AI Jev
A direct, empirical evaluation of Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)) against TypeSafe AI Jev (TypeSafe AI (Diogo Almeida)).
Xiaomi MiMo-V2.6 Pro
Developed by Xiaomi AI Lab (Fuli Luo) · 1.02 Trillion (Sparse MoE) parameters
High-accuracy autonomous coding (71.9% DeepSWE), cybersecurity defense (94.0% CyberGym), multimodal document reasoning, and cost-effective agentic workflows.
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 | Xiaomi MiMo-V2.6 Pro | TypeSafe AI Jev |
|---|---|---|
| SWE-bench Verified | 71.9% | 68.4% |
| MMLU-Pro | 89.2% | 84.6% |
| MATH-500 | 93.8% | 91.2% |
| Context Window | 128,000 tokens | 32,000 tokens |
| Input Pricing (per 1M) | $0.10 | $0.06 |
| Output Pricing (per 1M) | $0.20 | $0.12 |