Microsoft shows seven MAI models to reduce OpenAI reliance
At Build, Microsoft presented seven in-house models, including MAI-Thinking-1, a 35B active-parameter MoE reasoning model trained from scratch without distillation.
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At Build, Microsoft presented seven in-house models, including MAI-Thinking-1, a 35B active-parameter MoE reasoning model trained from scratch without distillation.
At Build 2026, Microsoft presented seven self-trained models, with MAI-Code-1-Flash beating Claude Haiku 4.5 on its cited coding benchmarks.
Microsoft quietly launched three proprietary AI models on April 2, aiming to lessen its dependence on OpenAI. The models include speech-to-text, text-to-speech, and image generation tools, with a strategic focus on distribution and pricing leverage.