According to MiniMax, that combination was previously out of reach for open models and reserved for proprietary systems like Opus 4.7, GPT-5.5, or Gemini 3.1 Pro. A new attention mechanism makes the leap possible by stretching the context window to one million tokens without letting compute costs spiral out of control. In internal tests, M3 also planned, debugged, and self-corrected on its own over many hours.

read more: https://the-decoder.com/minimax-m3-open-weight-model-with-a-million-token-context-challenges-proprietary-leaders/