{
  "id": 15081442,
  "title": "Microsoft reveals cutting-edge MAI-Base-2 model with 2T parameters",
  "url": "https://urgent.news/2026/10/17/microsoft-reveals-cutting-edge-mai-base-2-model-with-2t-parameters",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-17T00:39:50.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/10/16/microsoft-reveals-cutting-edge-mai-base-2-model-with-2t-parameters/"
  },
  "original_language": "en",
  "account": "Microsoft unveiled a new large language model called MAI-Base-2, boasting 2 trillion parameters and significantly outperforming existing open-source alternatives. The model, developed by Microsoft's artificial intelligence research group, is a base model that developers can transform into a full-fledged language model by undergoing additional training rounds focused on reasoning features and safety guardrails. MAI-Base-2 excels in science, programming, and math questions, outperforming the most capable open-source base model, DeepSeek-V4-Pro-Base. Moreover, it is up to 12 times more hardware-efficient than its counterparts. The model utilizes a mixture-of-experts (MoE) architecture, using only a subset of artificial neurons to process prompts, making it more efficient than activating the entire neural network. MAI-Base-2 features 80 billion activated neurons per prompt. Microsoft trained the model for 38 days using 16,000 Nvidia GB200 chips and a training dataset of 50 trillion tokens, with about a fifth of the tokens dedicated to a computer vision module that enhances its scientific chart understanding capabilities. Microsoft will license MAI-Base-2's weights to trusted partners through Azure and plans to incorporate the model into a new series of LLMs, with further details to be shared in the future.",
  "summary": "Microsoft Corp. has developed a new large language model that it says is significantly more efficient than leading open-source alternatives. The company’s artificial intelligence research group detailed the algorithm on Thursday. MAI-Base-2 is not a full-fledged LLM but rather a base model, a kind of no-frills prototype. Developers turn base models into LLMs by putting […] The post Microsoft…",
  "key_points": [
    "Microsoft unveils MAI-Base-2 model with 2 trillion parameters",
    "Model excels in science, programming, and math questions",
    "MAI-Base-2 is 12 times more hardware-efficient than competitors"
  ],
  "editors_take": "Scaling massive parameter counts alongside hardware-efficient architectures allows Microsoft to challenge open-source dominance while providing developers a versatile foundation for specialized reasoning and scientific applications.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}