Meituan open-sources 1.6 trillion parameter LongCat-2.5
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Meituan's LongCat team open-sourced the weights of LongCat-2.5 a week after the model was unveiled. It is a 1.6 trillion parameter MoE model that activates about 48 billion parameters per token, focused on long-horizon multi-step agentic tasks, especially coding. The weights are released under the MIT license, allowing commercial use, modification and redistribution; users can also try it in the chat interface at longcat.ai. At launch, Meituan charges a limited-time promotional price of about €0.27 per million input tokens and €1.07 per million output tokens.
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- The DecoderFeaturedMeituan releases a 1.6-trillion-parameter agent model that never touched an Nvidia GPU
Meituan has released the weights for LongCat-2.5, a 1.6-trillion-parameter mixture-of-experts model for autonomous agent and coding tasks that activates roughly 48 billion parameters per token and was trained entirely on Chinese hardware. It handles up to one million tokens of text, image, and video input via API, and Meituan reports 88.4 on Terminal Bench v2.1 and 64.6 on DeepSWE, close to but below Claude Opus 5 and GPT-5.6 Sol on several benchmarks. The weights are MIT-licensed, and the self-hosting guide describes a 194-chip Huawei Ascend Atlas A2 cluster with no Nvidia GPU guidance.
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