Independent assessments show that MiniMax M2.7 rivals leading closed-source models in core intelligent agent tasks.

2026-04-09 00:46:18

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ME News announcement, April 5 (UTC+8). Recently, according to LangChain’s independent evaluation, the open-weight model MiniMax M2.7 has reached a level comparable to closed-source frontier models on core agent tasks such as file operations, tool calling, and instruction following. The article’s viewpoint is that its advantage lies in cutting costs by about 20x, with speed improved by 2–4x. Taking the example of outputting 10 million tokens per day, the cost of using Opus 4.6 is about $250/day, while MiniMax M2.7 only requires about $12/day. This progress is driven by open benchmarks such as SWE-Rebench and Terminal Bench 2.0, making open models a viable option for deploying agents in production environments, and they can also be used in tandem with closed-source models. (Source: InFoQ)

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