MiniMax (00100.HK) said on its Aug. 26 interim-results call that R&D on MiniMax M3.1 and M3Pro will continue; M3Pro’s parameter scale is expected to rise to about 3 trillion parameters. The company plans to expand reinforcement learning and long-range task training to improve model generalization and raise the model’s intelligence ceiling. Founder and CEO Yan Junjie said MiniMax will push coordinated improvements in model intelligence, inference efficiency and infrastructure, and accelerate R&D

MiniMax (00100.HK) said on its Aug. 26 interim-results call that R&D on MiniMax M3.1 and M3Pro will continue; M3Pro’s parameter scale is expected to rise to about 3 trillion parameters. The company plans to expand reinforcement learning and long-range task training to improve model generalization and raise the model’s intelligence ceiling. Founder and CEO Yan Junjie said MiniMax will push coordinated improvements in model intelligence, inference efficiency and infrastructure, and accelerate R&D and release cycles for the M and H series.