Meituan Releases LongCat-2.5 Large Model with 1.6 Trillion Total Parameters
Meituan has released its new-generation large model LongCat-2.5, a natively multimodal model designed for long-horizon agent tasks, with 1.6 trillion total parameters, trained entirely on domestic compute. Evaluation results show that the model's scores on multiple mainstream benchmarks fall between Claude-Opus-4.8 and Claude-Opus-5, and it surpasses Claude-Opus-5 on some evaluations. Meituan has also launched an AI business operations workbench called "Miaoshou" based on the LongCat series, helping local-life merchants understand industry metrics and brand rules, and call tools within authorized scope to complete business tasks.
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The original text provides the model scale, the source of training compute, and the benchmark positions, allowing readers to judge the actual progress of large-model training on domestic compute.
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On November 2, Meituan released its new-generation large model LongCat-2.5, a native multimodal model designed for long-horizon agent tasks with 1.6 trillion total parameters. According to the company, the model continues the research direction of the previous LongCat series models and was trained entirely on domestic computing power, making it the largest training task completed on domestic computing power to date.
The release of LongCat-2.5 marks a further advance of "domestic chips, domestic models": it not only natively supports multimodality, but its overall capabilities also approach those of currently mature international closed-source models and leading open-source models. Model evaluation results show that across multiple mainstream benchmarks, LongCat-2.5's scores fall between those of Claude-Opus-4.8 and Claude-Opus-5, and in some evaluations it surpasses Claude-Opus-5.
Building on core capabilities such as Coding and Agent, LongCat-2.5 also draws on Meituan's main business to focus on strengthening capabilities including business analysis and software development, equipping local life merchants with an AI assistant. Based on the LongCat series models, Meituan launched an AI business operations workbench called "Miaoshou," which helps merchants understand industry metrics and brand rules in high-value operational scenarios, and, within the scope of merchant authorization, invoke tools and systems to complete operational task execution.