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LongCat-2.0

LongCat-2.0 is Meituan's open-source, trillion-parameter coding model, released under a fully permissive MIT license after two months spent anonymously topping OpenRouter's developer charts under the codename "Owl Alpha." Built as a 1.6T-parameter Mixture-of-Experts system with only ~48B parameters active per token, it delivers near-frontier agentic coding performance at a fraction of typical inference cost.

AI Codingfreemium
LongCat-2.0 open-source coding model logo

Availability

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Overview

Why LongCat-2.0 is a powerful AI Coding tool

LongCat-2.0 is Meituan's open-source, trillion-parameter coding model, released under a fully permissive MIT license after two months spent anonymously topping OpenRouter's developer charts under the codename "Owl Alpha." Built as a 1.6T-parameter Mixture-of-Experts system with only ~48B parameters active per token, it delivers near-frontier agentic coding performance at a fraction of typical inference cost.
The model natively handles a 1-million-token context window, letting it map entire codebases, execute repository-level edits, and generate pull requests in a single session. It integrates directly with harnesses like Claude Code, OpenClaw, and Hermes, and was trained entirely on a cluster of domestic Chinese ASICs rather than Nvidia GPUs.

Why People Pick It

Why LongCat-2.0 stands out in AI Coding

  • Category fit: AI Coding
  • Pricing model: freemium

Features

  • 1.6T-parameter Mixture-of-Experts architecture
  • Native 1M-token context window
  • MIT open-source license
  • Integrates with Claude Code
  • OpenClaw
  • and Hermes
  • Zero-charge context cache hits
  • Trained on domestic ASIC cluster

Pros & Cons

Pros

  • Free to self-host and modify commercially
  • Beats GPT-5.5 on SWE-bench Pro
  • Massive context window for repo-scale work
  • Aggressive promotional API pricing

Cons

  • Full model weights not yet publicly released
  • Requires heavy infrastructure to self-host
  • Smaller ecosystem than incumbent tools
  • Documentation still maturing

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