MiniMax-M1 brings million-token context to an open-weight reasoning model
MiniMax released M1, a hybrid-attention reasoning model with a one-million-token context window and variants supporting up to 80,000 reasoning-output tokens. The company also published weights, inference code and a technical report covering Lightning Attention and its CISPO reinforcement-learning method.
Why it matters: M1 offered teams an inspectable long-context reasoning option for code, documents and tool use without relying entirely on a closed-model API.