Microsoft unveils MAI-Base-2, a MoE model with 2.8T total and 80B active parameters, claiming 4x-12x more pretraining FLOPs-efficiency than DeepSeek-V4-Pro-Base (Microsoft AI)

Microsoft AI unveiled MAI-Base-2, a mixture-of-experts model with 2.8 trillion total parameters and 80 billion active parameters, claiming 4x-12x greater pretraining FLOPs-efficiency than DeepSeek-V4-Pro-Base. The announcement follows the June release of MAI-Thinking-1, a general-purpose foundation model built on MAI-Base-1.