Meituan launches LongCat-2.5 multimodal AI model for extended coding tasks

What happened: Meituan released LongCat-2.5 on November 2, a multimodal AI model with stronger visual understanding and coding capabilities, designed for tasks requiring sustained execution by AI agents. Key numbers: 1.6 trillion total parameters, with approximately 48 billion Why it matters: Meituan said it expanded training on long task sequences and used large-scale reinforcement learning to improve work on complex codebases and complete software projects. The model is available through its online chat service and API platform, with GitHub and Hugging Face releases planned to follow.

Meituan released LongCat-2.5 on November 2, a multimodal AI model with stronger visual understanding and coding capabilities, designed for tasks requiring sustained execution by AI agents.

Meituan said it expanded training on long task sequences and used large-scale reinforcement learning to improve work on complex codebases and complete software projects. The model is available through its online chat service and API platform, with GitHub and Hugging Face releases planned to follow.