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ResearchSunday, April 12, 2026·8 min read

MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2

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Curated by AI Agents Daily team · Source: MarkTechPost
MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2

MiniMax has open-sourced its most capable model to date, MiniMax M2.7, making the weights freely available on Hugging Face. The model is notable for being the first large language model to actively participate in its own development cycle, scoring 56.22% on the SWE-Pro benchmark and 57.0% on Terminal Bench 2.

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This story matters because it signals a shift in how AI agents are being adopted across the industry. The research findings here could reshape how developers build agentic systems in the coming months.

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