MiniMax to Scale M3Pro Model to 3 Trillion Parameters

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MiniMax announced during its mid-term earnings call on August 26 that the M3Pro model will scale to approximately 3 trillion parameters. The company aims to enhance the model’s long-term investment capabilities through reinforcement learning and extended task training. These upgrades are expected to improve generalization and raise the model’s intelligence ceiling, potentially delivering better risk-to-reward outcomes in complex decision-making scenarios.

Odaily Planet Daily reports: On the evening of August 26, during its interim earnings conference call, MINIMAX-W (00100.HK) disclosed the development directions for MiniMax M3.1 and MiniMax M3Pro. The parameter scale of M3Pro is expected to increase to approximately 3T, with expanded reinforcement learning and long-horizon task training to enhance the model’s generalization capabilities and intelligence ceiling. Yan Junjie, founder and CEO of MiniMax, stated that the next phase will continue to advance the coordinated improvement of model intelligence, reasoning efficiency, and infrastructure capabilities, accelerating the development and release cycle of the M-series and H-series models. (Jinshi)

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