Meituan releases the LongCat-2.5 multimodal model, with 1.6T total parameters and 49B active
Meituan has released LongCat-2.5, a natively multimodal agentic model with 1.6T total parameters and about 48B active, now available via API. The model targets long-horizon agentic tasks and strengthens visual understanding and agentic coding capabilities, covering complex coding projects as well as visual coding scenarios such as creative design and 3D. The company says it can be compared with GPT-5.5, GPT-5.6-Sol, Claude-Opus-4.8 and Claude-Opus-5.
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The original text provides the parameter count of LongCat-2.5 and the models it benchmarks against, so readers can judge Meituan's position in multimodal agentic models accordingly.
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View original postIntroducing LongCat-2.5, our latest natively multimodal agentic model with 1.6T total parameters and ~48B active. Built for long-horizon agentic tasks, it brings stronger visual understanding and agentic coding to work ranging from complex coding projects to visual coding such as creative design and 3D tasks. Learn more about LongCat-2.5: https://t.co/ULLDweplqR
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Introducing LongCat-2.5, our latest natively multimodal agentic model with 1.6T total parameters and ~48B active. Built for long-horizon agentic tasks, it brings stronger visual understanding and agentic coding to work ranging from complex coding projects to visual coding such as creative design and 3D tasks. Learn more about LongCat-2.5: https://t.co/ULLDweplqR
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Meituan released LongCat-2.5, its new multimodal model with 1.6T total parameters and 49B active.
LongCat-2.5’s compares with GPT-5.5, GPT-5.6-Sol, Claude-Opus-4.8, and Claude-Opus-5 and is now available on the APIs.