China just launched GLM 5.2, an open-source AI model that beats Claude at its own game.

@ai.honeycove

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SoundTikTok sound · Million Dolla Hip Hop

Promoted product

GLM-5.2https://opencode.ai ↗

Why it worked

The video leverages a 'news-jacking' approach by framing a new technical release as a direct competitor to a popular incumbent (Claude), which creates immediate curiosity and perceived value for the audience.

Summary

The creator introduces GLM-5.2, a new open-source AI model from China that competes with Claude Code. He highlights its 1 million token context window and local deployment capabilities as key advantages for developers.

Structure

1Introduce GLM-5.2 as a Claude competitor
2Highlight key features like 1M token context
3Explain the benefit of local deployment
4Show performance comparison
5Provide simple installation instructions

Product placement

GLM-5.2 is the primary subject of the video, demonstrated through screen recordings of its interface and performance metrics.

Call to action

Run one command in your terminal to install it.

Original caption

China just launched GLM 5.2, an open-source AI model that outperforms Claude Code with a massive 1 million token context window and local deployment—perfect for coding and long-term projects without API fees. Discover the future of AI coding tools and smart innovation today. #glm52 #openai #aicoding #opensourceai #techinnovation

More from @ai.honeycove

On-screen text

China just launched beats Claude at its own game GLM 5.2 24-Hour Tasks. 1M Context GLM 5.2 Claude Code 1 million token context run it completely locally MLG 5.2 +58.6% +33.8% +29.1% +24.3% +23.5% run one command connect your API key select GLM 5.2 GLM-5.2 24-Hour Tasks. 1M Context

Transcript

China just launched GLM 5.2, an open-source AI model that beats Claude at its own game. It's called GLM 5.2 and this might be the biggest open source model of the entire year. Think of it like Claude Code but with 10 times more capable coding abilities. It has a 1 million token context window, persistent memory for long multistep projects, and the best part, you can run it completely locally on your computer so you don't even pay for API tokens. Compared to Claude Code, it performs extremely well and even surpasses Claude in certain areas. To install it, it's super simple. Run one command in your terminal, connect your API key, select GLM 5.2 in your model list, and it's ready to go.