Chinese AI unicorn MiniMax is set to launch its new large model M3 featuring a novel sparse attention architecture This design overcomes computational bottlenecks in ultra long context scenarios enabling efficient processing of million token contexts M3 shows major performance gains over its predecessor with prefilling speed up 97 times and decoding speed up 156 times significantly cutting inference costs The breakthrough highlights a shift in large model competition from parameter scale to efficiency and practicality