Independent assessments show that MiniMax M2.7 rivals proprietary cutting-edge models in core intelligent agent tasks.

MeNews · 2026-04-09T09:43:03+00:00

According to LangChain's evaluation, the open-weight model MiniMax M2.7 performs comparably to closed-source models on core agent tasks, with a 20-fold reduction in cost and a 2-4 times increase in speed, providing a practical option for agent deployment in production environments.

MeNews

2026-04-09 09:43:03

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ME News Report, April 5th (UTC+8), recently, according to an independent assessment by LangChain, the open-weight model MiniMax M2.7 has reached a level comparable to closed-source cutting-edge models in core agent tasks such as file operations, tool invocation, and instruction following. The article states that its advantages include a significant cost reduction of about 20 times and a speed increase of 2-4 times. For example, with a daily output of 10 million tokens, using Opus 4.6 costs approximately $250 per day, while MiniMax M2.7 only costs about $12 per day. This progress is attributed to the promotion of open benchmarks such as SWE-Rebench and Terminal Bench 2.0, making open models a feasible choice for deploying agents in production environments and allowing for collaboration with closed-source models. (Source: InFoQ)

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