MiniMax M3

MiniMax M3 is the model release discussed in 对话 MiniMax 闫俊杰：M3、10X 计划、10T 模型、和智能的终局. Yan Junjie describes it as having a larger target than the earlier M2/M2.7 work, while Zhang Jiayuan discusses using it as a coding component inside MultiCard workflows.

Source Position

• M3 is evaluated through both usage and capability, with usage described as ahead of expectation and capability still not fully at the desired target.
• MultiCard uses M3 for coding in model-orchestrated pipelines, while other models can serve review or mentor roles.
• Zhang notes practical issues such as verbosity, longer thinking time, and answers where not every point is correct.
• The source treats M3 as one part of a broader system rather than proof that a single model should handle every task alone.

Connections

• MiniMax and Yan Junjie — company and founder context.
• MultiCard and Zhang Jiayuan — applied coding workflow context.
• Model Harness Co-Evolution — reason M3 is discussed alongside agents and harnesses.
• AI Inference Cost Structure — cost context behind model selection and orchestration.
• AI Coding Verification — downstream validation need after model-generated code.