Meituan releases LongCat-2.5 for multimodal, extended coding tasks
AI · First reported 2 Nov, 04:32 · Updated 04:55
Meituan released LongCat-2.5 on November 2, describing it as a multimodal model designed for sustained agent tasks, including complex coding work. It is available through the company’s chat service and API, with GitHub and Hugging Face releases planned.
- Meituan released LongCat-2.5 on November 2, with visual-understanding and coding capabilities aimed at tasks requiring sustained AI-agent execution.
- The model has 1.6 trillion total parameters, with approximately 48 billion activated per token; Meituan said it expanded training on long task sequences and used large-scale reinforcement learning.
- LongCat-2.5 is available through Meituan’s online chat service and API platform, while GitHub and Hugging Face releases are planned.
Summary written by Lux AI from 2 articles
Key facts
- Release date
- November 2
- Model scale
- 1.6 trillion total parameters; approximately 48 billion activated per token
- Availability
- Meituan online chat service and API platform; GitHub and Hugging Face releases planned
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Background
- An earlier Lux story said Tencent Cloud announced a partnership with Saudi firm OmniOps, with Tencent Cloud set to provide cloud infrastructure and technical expertise. [d879c203-5d42-4a84-bcbf-b22579eb224f]
- Another earlier Lux story reported that South Korea’s proposed 2027 budget included 21.3 trillion won for AI and related projects, nearly twice this year’s amount. [b834189b-21a1-4e31-8aec-aa9fedf68d2c]
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