MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it to process long sequences—up to 1 million tokens—while maintaining competitive FLOP efficiency. With 456 billion total parameters and 45.9B active per token, this variant is optimized for complex, multi-step reasoning tasks. Trained via a custom reinforcement learning pipeline (CISPO), M1 excels in long-context understanding, software engineering, agentic tool use, and mathematical reasoning. Benchmarks show strong performance across FullStackBench, SWE-bench, MATH, GPQA, and TAU-Bench, often outperforming other open models like DeepSeek R1 and Qwen3-235B.
With CoreAI, you can start chatting with MiniMax: MiniMax M1 instantly — no separate subscription needed. CoreAI bundles access to MiniMax: MiniMax M1 along with 300+ other AI models from Minimax and other providers like OpenAI, Anthropic, Google, Meta, and more.
Chat with MiniMax: MiniMax M1 and 300+ other AI models — all in one app.