Meituan, the Chinese company best known for delivering your dinner, just dropped one of the largest open-source coding models ever built. LongCat-2.0 packs 1.6 trillion parameters into a Mixture-of-Experts architecture designed specifically for agentic coding tasks, and it was trained entirely on domestically produced Chinese chips.
What LongCat-2.0 actually is
LongCat-2.0 is a Mixture-of-Experts model, which means it doesn’t fire all 1.6 trillion parameters every time it processes a piece of text. Instead, it dynamically activates roughly 33 billion to 56 billion parameters per token. The model is enormous, but it only uses the parts it needs for any given task, making it far more efficient than a dense model of comparable size would be.
The context window stretches to 1 million tokens, roughly the equivalent of feeding the model an entire large codebase and asking it to reason about the whole thing at once.
On benchmarks, the model posted a score of 59.5 on SWE-bench Pro and 70.8 on Terminal-Bench, evaluation suites designed to test how well AI models handle real-world software engineering challenges.
