Hugging Face model card
Fields: tags, gated, license, summary, library name, pipeline tag
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).
Provider endpoint: minimax/minimax-m2.5
Fields: tags, gated, license, summary, library name, pipeline tag
Fields: model identity
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Answers are generated from the same sourced model and provider facts shown above.
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).
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