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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"
- MiniMax · minimax/minimax-m1
- text->text · China-Modellroute
- 1.000.000 context · 0,40 $ input