MiniMax M3.1 Flash open source 72 hours processing Token over 100 trillion

MiniMax announced the open-source release of the MiniMax M3.1 Flash model weights on October 23, with a total of 428 billion parameters and 23 billion active parameters. Compared to the previous generation M3 model, the M3.1 Flash has achieved a comprehensive improvement in model capabilities. According to official data, within 72 hours of the model going live, the number of tokens processed by real users exceeded one trillion.

On the technical side, M3.1 Flash improves inference efficiency through optimizations such as full model sparse attention, quantization-aware training (QAT), and power-aware scheduling. In terms of ecosystem, MiniMax collaborates with chip manufacturers such as Huawei Ascend, T-head, Kunlun Core, Moore Threads, Biren, Haiguang, Muxi, Tiandao, NVIDIA, AMD, and cloud platforms like Together AI, Fireworks, Nebius, Baseten, Modal, DigitalOcean to promote access on the first day of open source. vLLM, SGLang, Zhiyuan FlagOS, as well as Hugging Face, Modao, and other communities simultaneously support the deployment of the model across different chips and development environments.