Meituan LongCat-2.0 Review: A 1.6T Agentic Coding Model on China's Domestic AI ASIC Cluster

LongCat-2.0: Meituan's AI Powerhouse

Meituan's LongCat-2.0 is a landmark achievement — a 1.6 trillion parameter MoE model trained entirely on China's domestic AI accelerator cluster. Using 50,000 domestically-produced AI chips, LongCat-2.0 demonstrates that world-class AI models can be developed outside the NVIDIA ecosystem.

Technical Specifications

• Scale: 1.6T parameters MoE architecture
• Training: 50,000 domestic AI accelerators
• Context: 1M token window
• Focus: Agentic coding and enterprise workflows

Why LongCat Matters

Beyond the technical specs, LongCat-2.0 proves the viability of non-NVIDIA AI infrastructure. For enterprises concerned about supply chain diversity, it represents a strategic alternative. Access via model ID LongCat-2.0.