MiniMax (official)(@MiniMax_AI):MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. Efficient by design: MiniMax Sparse Attention and DSpark speculative decoding improve inference efficiency. Hugging Face: https://t.co/JDYA1zZh54 ModelScope: https://t.co/DQcmOjTwhO API: https://t.co/fHRdSV7BwZ M Plan: https://t.co/LYnYZcsesu MCode for desktop:

MiniMax (official)

@MiniMax_AI

Code: @MiniMax_Code MiniMax Design: @Hailuo_AI API: M Plan:

加入 January 2025

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MiniMax (official)@MiniMax_AI

2026.10.23 01:06

MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. Efficient by design: MiniMax Sparse Attention and DSpark speculative decoding improve inference efficiency. Hugging Face: ModelScope: API: M Plan: MCode for desktop:

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