GLM 5.1 with OpenClaw: Full Setup Guide with Testing and Whinging

GLM 5.1 with OpenClaw: Full Setup Guide with Testing and Whinging

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Summary

Zhipu AI has released GLM 5.1, a coding-focused large language model that marks a significant departure from the team’s previously free, open-weight releases — it’s now only available through a paid quarterly coding plan. Fahd Mirza paid for access and put the model through its paces integrated with the OpenClaw agentic coding framework on Ubuntu.

The video covers the full OpenClaw installation, API key configuration, and connecting GLM 5.1 via the Z.AI provider endpoint, including a downloadable config file shared in the comments. Mirza then tests the model on a complex creative coding prompt — building a self-contained HTML simulation of a real-time Martian electrical storm with dynamic terrain, atmospheric gauges, lightning, and rover telemetry. The model reportedly sits at approximately 754 billion parameters with a 200,000-token context window and up to 130,000 max output tokens, and is specifically optimized for long-horizon agentic coding and log analysis workflows rather than general-purpose conversation.

Benchmarks shown in the video place GLM 5.1 close to Claude Opus 4.6 on coding tasks. Mirza provides a candid take on the tradeoffs: the model excels at complex engineering tasks but lacks the general-purpose capability of earlier GLM models like the widely praised GLM 4.5 Air. An open-weight release via Hugging Face is reportedly planned for sometime in April.


📺 Source: Fahd Mirza · Published March 28, 2026
🏷️ Format: Tutorial Demo

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