AI News

Microsoft MAI-Base-2: 2.8-Trillion-Parameter MoE Model Completes Pre-Training, Claims 4–12x Efficiency Over DeepSeek

Microsoft has completed pre-training of MAI-Base-2, a 2.8-trillion-parameter mixture-of-experts foundation model, and claims its pre-training FLOPs efficiency is 4.2 to 12.3 times higher than DeepSeek-V4-Pro-Base. The figures come from scaling-law estimates rather than direct head-to-head training comparisons, and the weights remain limited to authorized partners, leaving the claims not yet independently assessed.

微软AI 大模型 MAI-Base-2
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