Xin Lang Ke Ji·2025-09-22 06:10Core Insights - Meituan has officially released its efficient reasoning model LongCat-Flash-Thinking, which maintains the speed characteristic of its predecessor, the LongCat model, while achieving state-of-the-art (SOTA) performance in reasoning tasks across various domains such as logic, mathematics, code, and intelligent agents, with some tasks nearing the performance of the closed-source model GPT5-Thinking [1] - The LongCat-Flash-Thinking model enhances the autonomous tool-calling capabilities of intelligent agents and expands its formal theorem proving abilities, making it the first domestic large language model to combine "deep thinking + tool calling" with "non-formal + formal" reasoning capabilities [1] - The new model demonstrates significant advantages in handling high-complexity tasks, particularly in mathematics, code, and intelligent agent tasks [1] - LongCat-Flash-Thinking is fully open-sourced on platforms like HuggingFace and GitHub, and it is available for experience on the official website [1]