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LongCat-2.5 is Meituan's natively multimodal agentic model with 1.6T total parameters and about 48-49B active (the post gives both figures), so it is a mixture-of-experts design. It targets long-horizon agentic tasks, with stronger visual understanding and agentic coding, from complex coding projects to visual coding. The post says it was compared with GPT-5.5, GPT-5.6-Sol, Claude-Opus-4.8 and Claude-Opus-5, and is available through APIs. No benchmark numbers appear in the text.
TL;DR Reports Meituan's release of LongCat-2.5, a 1.6T-parameter multimodal agentic model with about 48B active, now on APIs.
Organisations named here
- Meituan
- OpenAI
- Anthropic
- TestingCatalog
Technologies named here
- gpt-5.5
- GPT-5.6 Sol
- Claude Opus 4.8
- Claude Opus 5
- Opus 5
- LongCat-2.5
Techniques named here
- Mixture of experts
- vision-language model
Concepts named here
- Long-horizon agentic tasks
- Native multimodality
Related in models
