Llama 3.3 70B vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of Llama 3.3 70B (Meta AI) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
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.
| Metric | Llama 3.3 70B | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 38.8% | 71.9% |
| MMLU-Pro | 68.3% | 89.2% |
| MATH-500 | 75.8% | 93.8% |
| Context Window | 128,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.15 | $0.10 |
| Output Pricing (per 1M) | $0.60 | $0.20 |