Llama 3.3 70B vs Xiaomi MiMo-V2.6 Flash
A direct, empirical evaluation of Llama 3.3 70B (Meta AI) against Xiaomi MiMo-V2.6 Flash (Xiaomi AI Lab).
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
Xiaomi MiMo-V2.6 Flash
Developed by Xiaomi AI Lab · 185 Billion (Sparse MoE) parameters
Low-latency agent loops, high-volume classification, and developer code completion.
| Metric | Llama 3.3 70B | Xiaomi MiMo-V2.6 Flash |
|---|---|---|
| SWE-bench Verified | 38.8% | 64.2% |
| MMLU-Pro | 68.3% | 82.4% |
| MATH-500 | 75.8% | 89.5% |
| Context Window | 128,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.15 | $0.04 |
| Output Pricing (per 1M) | $0.60 | $0.08 |