Join Our š¬ WeChat š§© Discord community. MiniMax Agent ā”ļø API MCP MiniMax Website š¤ Hugging Face š Hugging Face API š GitHub š¤ļø ModelScope š License: Modified MIT Today we're introducing our latest model, MiniMax M2.5 . Extensively trained with reinforcement learning in hundreds of thousands of complex real world environments, M2.5 is SOTA in coding, agentic tool use and search, office work, and a range of other economically valuable tasks , boasting scores of 80.2% in SWE Bench Verified, 51.3% in Multi SWE Bench, and 76.3% in BrowseComp (with context management). Trained to reason efficiently and decompose tasks optimally, M2.5 exhibits tremendous speed in performing complicated agentic tasks, completing the SWE Bench Verified evaluation 37% faster than M2.1, matching the speed of Claude Opus 4.6 . M2.5 is the first frontier model where users do not need to worry about cost, delivering on the promise of intelligence too cheap to meter. It costs just $1 to run the model continuously for an hour at a rate of 100 tokens per second. At 50 tokens per second, the cost drops to $0.30. We hope that the speed and cost effectiveness of M2.5 enable innovative new agentic applications. Cā¦
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