#56 · Primary category: Foundation Models

MiniMax-M2

large-language-models llm

MiniMax-M2, a model built for Max coding & agentic workflows.

Project last updated:11/13/25

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Why we included this project

MiniMax-M2 is an open-weight model that aims to give you strong coding and agent behavior without paying for a much larger system. It's a sparse mixture-of-experts design: 230 billion total parameters, but only 10 billion are active for each forward pass. That sparsity is what keeps it practical on modest hardware, and on coding benchmarks it competes with much bigger commercial models, handling multi-file edits, run-and-fix loops, and terminal-driven repairs. If you're building a coding assistant or an autonomous agent and would rather self-host than call a big API, this is a serious option. The MIT license and released weights on Hugging Face and ModelScope make integration and fine-tuning straightforward.

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