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LongCat
Frontier reasoning models from Meituan
# Large Language Model
Featured on : Sep 25. 2025
Featured on : Sep 25. 2025
What is LongCat?
LongCat is the AI model series from Meituan, featuring powerful, efficient, and open-source models for complex tasks. Its latest release, LongCat-Flash-Thinking, is a 560B parameter MoE reasoning model that sets a new standard for speed and performance.
Problem
Users face slow and inefficient AI models for complex tasks, with slow performance and high resource consumption hindering scalability.
Solution
Open-source AI models (LongCat series) allowing users to leverage a 560B parameter MoE architecture for rapid, resource-efficient complex task reasoning (e.g., high-speed data analysis).
Customers
Data scientists, AI researchers, and ML engineers at tech companies needing scalable AI solutions for advanced applications.
Unique Features
MoE architecture with dynamic computation routing, open-source access, and 560B parameters optimized for speed and accuracy.
User Comments
Praises for processing speed in enterprise settings
Adoption in NLP research due to model efficiency
Positive feedback on open-source flexibility
Scalability for large datasets
Cost reduction in cloud deployments
Traction
560B parameter model released Q3 2023, part of Meituan’s AI suite (Meituan’s R&D budget: ~$2.6B annually), open-sourced on GitHub with 2.8k stars.
Market Size
Global AI market projected to reach $1.3 trillion by 2032 (Bloomberg Intelligence 2023), with enterprise AI spending at $300B+ by 2025.