Teaching your AI new tricks.
Santa Clara, CA
Joined June 2016
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NVIDIA AI retweeted
Congrats @MiniMax_AI on dropping MiniMax M3.1 Flash 428B, built for everyday coding and agents. 🙌
In the first-ever Day 0 support, NVIDIA Vera Rubin delivers excellent out-of-the-box performance:
✔️ High throughput of up to 200K TPS/GPU
✔️ Fast interactivity with more than 700 TPS/user
Download the NVFP4 checkpoints from @huggingface: huggingface.co/MiniMaxAI/Min… or try it instantly: nvda.ws/3VYpjZ3
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:
huggingface.co/MiniMaxAI/Min…
ModelScope:
modelscope.cn/models/MiniMax…
API: platform.minimax.io
M Plan: minimax.io/m-planMiniMax
MCode for desktop: agent.minimax.io/download
GTC Dev Community Berlin Recap: From Open Models to Physical AI xitter.cf/i/broadcasts/1DxleVyYn…
We teamed up with @NVIDIAAI to post-train Nemotron 3.5 Super VL on scientific protocol data.
It outperformed comparable closed models in troubleshooting and optimizing lab experiments, at a remarkably low cost, representing a promising path for R&D teams to build specialized intelligence they can customize and improve over time with their own data. benchling.com/blog/building-…
