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MiniMax releases M3.1 Flash with stronger agent benchmarks and lower pricing

国模Agent第一!MiniMax爆改Flash战力,全时段大肥鱼谷价

Who
MiniMax
What
releases the M3.1 Flash reasoning model
Quote
正式交卷的代号是 M3.1 Flash 。

What happened

MiniMax released M3.1 Flash, identified by QbitAI as the model previously tested anonymously as Space Bunny on OpenRouter. The report cites 29.6% on Agents’ Last Exam, 73.7% on DeepSWE v1.1, and output speeds reaching 200+ TPS. Pricing per million tokens is 1 yuan for input, 4 yuan for output, and 0.1 yuan for cache reads, with reported overall usage costs 70% below M3.

Why it matters

The reported pricing and throughput provide a concrete basis for comparing operating costs in agent workflows that involve repeated tool calls and communication between multiple agents.

Reported by 2 sources

    The story so far

    MiniMax released MiniMax-M3.1-Flash through its API, and Artificial Analysis measured a higher Intelligence Index score and lower cost per Index task than MiniMax-M3. At maximum effort, the new model scored 42 versus M3’s 29, tying GLM-5.3-Flash and trailing DeepSeek V4.1 Flash 1017 at 45. Artificial Analysis estimated costs at approximately $0.22 per Index task, compared with $0.51 for M3. The model supports text and image inputs with up to one million tokens of context. The Decoder reported API prices of $0.15 per million input tokens and $0.60 per million output tokens. QbitAI reported prices of 1 yuan per million input tokens, 4 yuan per million output tokens and 0.1 yuan per million cache-read tokens, and cited overall usage costs 70% below M3. Its weights remain closed, with MiniMax planning an open-weights release on October 23. Artificial Analysis also found a weakness on AA-Omniscience: the model answered 56% of questions correctly but attempted almost every question, yielding a reported hallucination rate of 93% and an overall score of 16 on that evaluation.

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