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MiniMax Releases M3.1 Flash, Cutting Agent Task Costs 70%

MiniMax released its new M3.1 Flash model, cutting the cost of agent tasks by 70% versus the previous generation and lifting online inference speed nearly threefold, with output exceeding 200 tokens per second. API pricing is set at $0.15 per million input tokens and $0.6 per million output tokens. The model scored 61.7 on the OSWorld V2 benchmark, ranking first among Chinese models, and is now live via the MiniMax API, M Plan and MiniMax Code, with weights to be open-sourced later.

Original source

AI take

The cost and speed gains matter more than the benchmark placement: cheaper, faster inference directly lowers the unit economics of running agent workloads, which is where token consumption compounds. The OSWorld V2 result positions MiniMax competitively among Chinese labs, but first among domestic models is a narrower claim than a global one. The pending open-weight release is the real swing factor — it would let the cost advantage travel beyond MiniMax's own API and M Plan surfaces. Whether that release arrives on the stated terms, and whether pricing at this level holds once rivals respond, is the open question.

Generated by AI for reference only.

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