On November 2, Meituan released LongCat-2.5, its latest-generation large model. A native multimodal model built for long-horizon agentic tasks, it boasts a total of 1.6 trillion parameters. Staying true to the LongCat series' research trajectory, the model was trained entirely on domestic computing power—making it the largest training task ever completed on such infrastructure to date. Evaluations show that its performance on multiple mainstream benchmarks places it between Claude-Opus-4.8 and Claude-Opus-5, with some results even surpassing Claude-Opus-5.