Minimax M3.1 Flash Architecture Revealed as 428B MoE Model
MiniMax has revealed through its official FAQ page that the M3.1 Flash model features a massive 428 billion total parameters with 23 active pathways. This specification was notably absent from most of their initial public announcements. Understanding the exact parameter count and active pathway configuration helps developers and local LLM enthusiasts evaluate the hardware requirements needed to run or host the model. It confirms that the model is too large for consumer hardware setups like dual RTX 3090 GPUs. The model is built using a Mixture of Experts (MoE) architecture, though its massive total size of 428 billion parameters makes local deployment impractical for hobbyists. The specification details were uncovered specifically in the first part of the preview FAQ.
## BACKGROUND
Large language models often utilize a Mixture of Experts (MoE) architecture, where a huge total parameter count is divided into smaller subsets called experts, but only a small fraction of these parameters are actively used for each token or word generated. This sparse activation allows models to achieve high performance and capacity while maintaining manageable computational costs during inference compared to dense models of the same total size.