{
  "slug": "minimax-m2-230b",
  "order": 23,
  "name": "MiniMax M2 (230B)",
  "baseTitle": "MiniMax M2 230B",
  "company": "MiniMax",
  "country": "China",
  "flag": "🇨🇳",
  "date": "2025-10-23",
  "decoderType": "Sparse MoE",
  "attention": "GQA with QK-Norm and partial RoPE",
  "layerMix": "62 GQA",
  "scale": "230B total, 10B active (4.3% active)",
  "totalParams": 230000000000,
  "activeParams": 10000000000,
  "context": "196,608",
  "contextTokens": 196608,
  "license": "Modified MIT License",
  "kvCacheText": "248 KiB",
  "kvCacheKiB": 248,
  "kvCacheLevel": "High",
  "summary": "MiniMax's flagship returns to full attention and looks like a leaner, sparser cousin of Qwen3.",
  "keyDetail": "Uses per-layer QK-Norm, much sparser MoE routing than Qwen3, and MTP during training.",
  "image": {
    "full": "https://sebastianraschka.com/llm-architecture-gallery/images/architectures/minimax-m2-230b.webp",
    "thumb": "https://sebastianraschka.com/llm-architecture-gallery/images/architectures/thumbnails/minimax-m2-230b.webp",
    "alt": "Figure 39: MiniMax M2 230B",
    "width": 960,
    "height": 949
  },
  "articleUrl": "https://magazine.sebastianraschka.com/p/the-big-llm-architecture-comparison#%C2%A7131-per-layer-qk-norm",
  "links": [
    {
      "label": "View in article",
      "href": "https://magazine.sebastianraschka.com/p/the-big-llm-architecture-comparison#%C2%A7131-per-layer-qk-norm",
      "title": null
    },
    {
      "label": "config.json",
      "href": "https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/config.json",
      "title": "MiniMaxAI/MiniMax-M2"
    },
    {
      "label": "Tech report",
      "href": "https://arxiv.org/abs/2605.26494",
      "title": null
    }
  ],
  "concepts": [
    {
      "slug": "qk-norm",
      "label": "QK-Norm",
      "name": "QK-Norm",
      "url": "https://llm-atlas-7or.pages.dev/concepts/qk-norm/"
    },
    {
      "slug": "gqa",
      "label": "GQA",
      "name": "Grouped-Query Attention",
      "url": "https://llm-atlas-7or.pages.dev/concepts/gqa/"
    },
    {
      "slug": "moe",
      "label": "MoE",
      "name": "Mixture of Experts",
      "url": "https://llm-atlas-7or.pages.dev/concepts/moe/"
    },
    {
      "slug": "mtp",
      "label": "MTP",
      "name": "Multi-Token Prediction",
      "url": "https://llm-atlas-7or.pages.dev/concepts/mtp/"
    }
  ],
  "aai": {
    "v4": {
      "label": "AA Intelligence Index v4.3.2",
      "total": 18.6,
      "profile": {
        "Scientific": 7.3
      },
      "url": "https://artificialanalysis.ai/models/minimax-m2"
    }
  },
  "sourceUrl": "https://sebastianraschka.com/llm-architecture-gallery/#card-minimax-m2-230b",
  "family": "moe",
  "url": "https://llm-atlas-7or.pages.dev/models/minimax-m2-230b/",
  "markdownUrl": "https://llm-atlas-7or.pages.dev/models/minimax-m2-230b.md"
}