MiniMax
We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combined with a lightning attention mechanism.
Running this yourself: likely needs a high-memory cloud gpu.
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Quality Score
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Arena ELO
456B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
16 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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5.1K
Downloads
185
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Jun 2025
Released
4/5 signals
2/4 signals
3/5 signals
3/4 signals
4/4 signals
Parameters
456B
Training compute
4.2e24 FLOP
Dataset scale
7.5T units
Base model
MiniMax-Text-01
Source-reported access: Open weights (unrestricted) · Likely confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
MiniMaxAI/MiniMax-M1-40k · Hugging Face
MiniMax published benchmark or leaderboard evidence for MiniMax-M1-40k.
View sourceMiniMax 开源新评测集：定义Coding Agent 的生产级标准
MiniMax 开源新评测集：定义Coding Agent 的生产级标准 - MiniMax News | MiniMax 模型 语言模型 MiniMax M3 MiniMax M2.7 MiniMax M2.5 视频生成 MiniMax H3 语音&音乐 MiniMax Speech 2.8 MiniMax Music 3.0 产品 MiniMax Code MiniMax Design 语音 星野 API 订阅 研究 关于我们 与所有人共创智能 公司介绍 新闻 投资者关系 加入我们 EN 模型 语言模型 MiniMax M3 NEW MiniMax M2.7 MiniMax M2.5 视频生成 MiniMax H3 NEW 语音&音乐 MiniMax Speech 2.8 NEW MiniMax Music 3.0 NEW 产品 MiniMax Code NEW MiniMax Design 语音 星野 API 订阅 研究 关于我们 与所有人共创智能 公司介绍 新闻 投资者关系 加入我们 English 2026.1.15 M
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