Owl Alpha on OpenRouter Revealed as Meituan's LongCat-2.0-Preview with 11T Monthly Token Throughput

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On-chain news reveals that Owl Alpha on OpenRouter is Meituan’s LongCat-2.0-Preview, a model with 1.6 trillion total parameters and 48 billion active parameters. It supports a 1 million character context window and excels at agent tasks such as code generation and DevOps. Owl Alpha leads in Hermes agent usage, ranks second in Claude Code, and third in OpenClaw, with 11 trillion monthly token throughput and 200% growth. New token listings may follow as the model gains adoption.
ME AI message, according to monitoring by Beating, the true identity of Owl Alpha, the fastest-growing anonymous agent model on the OpenRouter platform, has been confirmed. Multiple sources have verified that the model is actually LongCat-2.0-Preview, developed by Meituan, which has been quietly tested on the platform for nearly two months. Architecturally, LongCat-2.0-Preview employs a Mixture of Experts (MoE) architecture with a total parameter count of 1.6T, an average of approximately 48B activated parameters (dynamically ranging between 33B and 56B), and native support for a 1M token context window. The model has been specifically optimized for agent workloads, including multi-step reasoning, tool invocation, code generation, and DevOps tasks. According to OpenRouter data, despite its undisclosed identity, Owl Alpha has risen to the top three globally in agent model usage, ranking first in Hermes agent monthly calls, second in Claude Code, and third in OpenClaw. The model’s monthly token throughput has reached 11T, with a monthly growth rate of 200%. (Source: BlockBeats)
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