MiMo-V2-Pro
MiMo-V2-Pro is Xiaomi's flagship foundation model built for real-world agentic workloads. A Mixture-of-Experts model with over 1T total parameters and 42B active, roughly 3x larger than MiMo-V2-Flash. Inherits the Hybrid Attention mechanism with a 7:1 ratio and supports up to 1M-token context. Optimized for coding and agent tasks through post-training scaling across diverse agent scenarios, with native support for complex tool calling and multi-step reasoning.
Benchmark results
| Benchmark | Score | Tags | Source |
|---|---|---|---|
| Claw-Eval | 61.5% | self-reported llm-stats | link → |
| DeepSearchQA | 86.7% | self-reported llm-stats | link → |
| GDPval-AA | 1,426 | self-reported llm-stats | link → |
| PinchBench | 81.0% | self-reported llm-stats | link → |
| SWE-bench Multilingual | 71.7% | self-reported llm-stats | link → |
| SWE-Bench Verified | 78.0% | self-reported llm-stats | link → |
| Tau2 Telecom | 96.8% | self-reported llm-stats | link → |
| Terminal-Bench 2.0 | 57.1% | self-reported llm-stats | link → |