Meituan has launched LongCat-2.0, a 1.6 trillion parameter model trained and operated entirely on domestic Chinese hardware, marking a significant milestone for China's AI infrastructure. This model boasts a 1 million token context window and demonstrates strong performance in coding, tool usage, and logical reasoning, even outperforming models like GPT-5.5 and Claude Opus in token efficiency. LongCat-2.0 has also gained traction among developers on platforms like OpenRouter, where it is known as Owl Alpha, indicating market validation for its capabilities and cost-effectiveness. AI
IMPACT Demonstrates the viability of training and deploying trillion-parameter models on non-Nvidia hardware, potentially lowering costs and increasing accessibility.
RANK_REASON Frontier-lab model release with system card and detailed technical report. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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