Hermes AgentImportance: High

LongCat-2.0 reveals Owl Alpha, the former Hermes Agent leader

r/chutesAIJul 1, 2026 · 12d ago

Meituan has released LongCat-2.0 under the MIT license. The model has 1.6 trillion total parameters, but it uses about 48 billion for each token it processes. It supports a native 1 million token , meaning it can handle very long inputs.

The weights are still being uploaded to Hugging Face, while the API is already live at longcat.chat. For two months, the same model ran on OpenRouter under the anonymous name Owl Alpha, where it reached number 1 on Hermes Agent, number 2 on Claude Code, and number 3 on OpenClaw. VentureBeat reported about 10.1 trillion monthly tokens for Owl Alpha, up 242% month over month.

Its main design choices are MoE, LongCat for cheaper long-context inference on non-Nvidia hardware, and a 135 billion N-gram Embedding module that expands how the model represents token groups. On coding agent benchmarks, it scored 70.8 on , 59.5 on , and 77.3 on SWE-bench Multilingual.

Key points

  • LongCat-2.0 is the public name behind the previously anonymous Owl Alpha model.
  • Owl Alpha reached number 1 on Hermes Agent before Meituan revealed it.
  • The model is MIT licensed, but the weights were still being uploaded to Hugging Face.
  • The API is already live at longcat.chat for immediate testing.
  • Its long- may matter for Hermes Agent tasks that involve large codebases or long instructions.

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