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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)

In June, we announced MAI-Thinking-1, a general-purpose foundation model post-trained on top of MAI-Base-1 with strong reasoning performance.

  • MAI-Base-2 model unveiled with 2.8T total and 80B active parameters
  • 4-12 times more efficient in pre-training FLOPs than DeepSeek-V4-Pro-Base
  • Model trained on MAI-Base-1, outperforms open-weight models in tests

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