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Meituan LongCat-2.0-Preview quietly launched: no announcement, no open source
AIMPACT news, April 28 (UTC+8), with more details: the model’s total parameters have surpassed 1 trillion, adopts a MoE architecture, and supports a 1M context window. Its parameter count is basically the same as DeepSeek V4 released on the same day. Insiders say that the entire training and inference process of LongCat-2.0-Preview was completed using a domestic computing power cluster, deploying 50,000 to 60,000 domestically produced acceleration cards—making it the largest-scale training task completed with domestic computing power to date. During the testing period, a free quota of 10 million tokens was provided daily. (Source: BlockBeats)