Meituan LongCat-2.0's highlight isn't just its 1.6 trillion parameters, but how it has significantly reduced Agent costs. This model, which previously appeared anonymously on OpenRouter as Owl Alpha, leverages long context, MoE architecture, and a 'cache hit free' mechanism to rapidly scale in Agent scenarios like codebase reading and multi-turn tool calls. For developers, the real appeal isn't the benchmark scores themselves, but whether the same Agent workflows can run faster and cheaper.