Meituan releases LongCat-2.5, a 1.6 trillion parameter multimodal model built for agentic work

The Chinese delivery giant's latest AI model targets coding and automation, claims parity with Claude Opus on several benchmarks, and was trained on domestic chips Meituan, the Chinese company best known for getting dumplings to your door in under an hour, has released LongCat-2.5. It is a multimodal AI model with 1.6 trillion total parameters, now available through an API. What Meituan actually shipped LongCat-2.5 officially launched on November 2, 2026. Meituan built it for complex, long-horizon agentic tasks, meaning multi-step jobs where the AI acts on its own rather than answering one question at a time. The headline figure is 1.6 trillion total parameters. Parameters are the adjustable internal values a model learns during training. More of them generally means more capacity to store patterns and knowledge. The more practical number is the active count. LongCat-2.5 uses approximately 48 billion active parameters per token. A token is a small chunk of text or data the model processes. The model supports a native context window of one million tokens. It can also produce outputs of up to 128,000 tokens. Meituan says that breadth makes the model usable across terminals, browsers,...