LongCat-2.5, Kimi K3.1 Pro and DeepSeek V4.1-Flash Compared on Price, Openness and Scale

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Three Chinese AI labs released competing models within about three weeks in October and November 2026, each taking a different approach to cost and access. DeepSeek's V4.1-Flash-1017 emphasizes efficiency, with MIT-licensed open weights and very low API prices. Moonshot's Kimi K3.1 Pro targets scale, reportedly at 2.8 trillion parameters with a 1-million-token context and open weights under a custom license. Meituan's LongCat-2.5 focuses on long-running agent tasks, offers the lowest headline API rates of the three, but has not released its weights. The comparison notes that all three undercut Western closed models on price, though their benchmark claims come from the labs themselves.

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