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Meituan's trillion-parameter large model opens for testing, with the entire training process completed by domestic computing clusters
Mars Finance News, on April 24th, Meituan’s new generation foundational large model LongCat-2.0-Preview has been opened for testing. The model has a total parameter scale exceeding one trillion, and the entire training process was completed using domestically produced computing clusters. It is understood that LongCat-2.0-Preview supports a 1 million token context window, capable of processing millions of words of input in a single inference, with a processing scale comparable to the newly released GPT-5.5. Additionally, the new LongCat model has been deeply optimized for agent application scenarios, effectively adapting to code generation, complex task planning, enterprise automation, and other production scenarios.