China’s Meituan introduces LongCat-2.0, a large language model it says is built to run without Nvidia chips. NDTV reports that Meituan claims the model has 1.6 trillion parameters and that it performs well on coding and “agentic” benchmarks, surpassing Google’s older Gemini 3.1 Pro on multiple tests. However, NDTV adds that LongCat-2.0 remains behind some global frontier models, including OpenAI’s GPT-5.5 and Anthropic’s Claude 4.8 Opus. Channel NewsAsia (CNA) similarly reports Meituan’s claim that LongCat-2.0’s performance is comparable to Gemini 3.1 Pro, referencing Gemini’s February release. Both outlets frame the announcement as part of Meituan’s push to develop advanced AI capabilities using domestic or non-Nvidia hardware. The reports focus on Meituan’s performance comparisons and do not detail independent verification, training methods beyond the chip claim, or how the benchmarks were selected.