MiniMax M2.5 drops as open-source model with 80.2% on SWE-Bench

Chinese lab MiniMax releases an open-source model that tops SWE-Bench and excels at agentic tool-calling, further commoditizing capabilities that were frontier-exclusive months ago.

MiniMax, the Chinese AI lab, released M2.5, an open-source model claiming state-of-the-art performance on SWE-Bench at 80.2% — a coding benchmark where even leading proprietary models struggled to break 70% just a year ago. As @MiniMax_AI announced, the model also excels at search and agentic tool-calling, positioning it as a general-purpose backbone for autonomous coding agents.

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