Microsoft Unveils MAI-Base-2, Claiming 12x Efficiency Over DeepSeek
Microsoft released MAI-Base-2, a mixture-of-experts model with 2.8 trillion total and 80 billion active parameters, claiming 4–12× more pretraining compute efficiency than DeepSeek-V4-Pro-Base.
- 2.8T total / 80B active MoE architecture, positioned directly against DeepSeek-V4-Pro-Base
- Microsoft claims 4–12× more FLOP-efficient during pretraining, the widest claimed margin yet
- No deployment pricing or API access dates were disclosed alongside the benchmark