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Owl Alpha 是美团 LongCat-2.0

来源: twitter关注列表
作者: Rohan Paul (@rohanpaul_ai)
发布于: 2026-06-28
收录于: 2026-06-28
AI 推荐理由
首次披露了匿名模型 Owl Alpha 的真实身份及详细参数,并提供了使用数据,值得点开原文核实细节。
核心解读
Rohan Paul 爆料称,OpenRouter 上增长最快的智能体模型 Owl Alpha 实际上是美团 LongCat-2.0-Preview,采用 1.6T 参数 MoE 架构,活跃参数 48B,动态范围 33B-56B,原生支持 100 万 token 上下文。该模型在 OpenRouter 测试近两个月,已成为全球使用最多的智能体模型之一,月处理 token 达 10.1 万亿,日处理 5590 亿,月增长 242%。
全文
I’m hearing that "Owl Alpha", one of OpenRouter’s fastest-growing agent models, is actually Meituan LongCat-2.0-Preview The reported design is a huge 1.6T-parameter MoE, active 48B. A dynamic active range of roughly 33B to 56B, and natively supports a 1M-token context window. "Owl Alpha" has been quietly trialed on OpenRouter for nearly two months and has already become one of the most used agent models globally. The usage numbers are striking. Captured OpenRouter data shows: - #1 on Hermes Agent - #2 on Claude Code - #3 on OpenClaw - 10.1T monthly tokens - 559B daily tokens - +242% monthly growth That is extraordinary for a model still operating under an anonymous name. ![photo](https://pbs.twimg.com/media/HL4bTfsa4AEVD98.png) Rohan Paul (@rohanpaul_ai): There's many good reason it ("Owl Alpha") is trending at the top ranks in OpenRouter. https://t.co/F1xY4x8ffm Rohan Paul (@rohanpaul_ai): The model ("Owl Alpha") is designed for agentic workloads: - tool calling - multi-step reasoning - long-context execution - code generation - automated workflows - complex instruction following - DevOps-style tasks https://t.co/EZnkXUBUWo
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