CatchCase

MiniMax M1

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...

  • Context window: 1M tokens
  • Max output: 40K tokens
  • Reads: text
  • Writes: text

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