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GLM

Made Crystal Clear

A practical, visual guide to Z.ai's GLM models for agents, coding, and real work

GLM is Z.ai's open-weight family, and its flagship now ranks near the top of one independent operator's intelligence index while shipping under a permissive licence. This book gives you the parts that pay off. How the coding plan's credit quotas really work, and where the monthly cost lands. How to point Claude Code, Cursor and other harnesses at GLM. How thinking mode and function calling behave, friction included. And an honest read on where GLM wins, capability per dollar on the coding plan, and where it does not.

Pages
118
Level
Beginner to advanced
Status
Available

Inside the book

  1. 01The Name Game: Zhipu, Z.ai, GLM, and ChatGLM Untangled
  2. 02Where GLM Actually Stands
  3. 03The Model Lineup, Decoded
  4. 04Your First API Call
  5. 05What GLM Actually Costs: Per Token vs Per Task
  6. 06The Coding Plan Decoded: Lite, Pro, and Max
  7. 07Wiring GLM into Claude Code and Other Harnesses
  8. 08Thinking Mode and Agentic Reasoning
  9. 09Function Calling and Tool Use, Honestly
  10. 10GLM vs DeepSeek vs Qwen: A Framework, Not Another Benchmark
  11. 11Running GLM Yourself: Open Weights, Licences, and Hardware
  12. 12Privacy and Data: API, Coding Plan, and Local Weights
  13. 13The Business Case: ROI, Buyers, and Alternatives
  14. 14Judging the Claims: Vendor Marketing vs Independent Reality
  15. 15The Playbook, Cheat Sheet, and Where to Go Next

You'll leave with

  • Read the GLM lineup and 5.x naming without guessing
  • Understand the coding-plan credit quotas and real cost
  • Point Claude Code, Cursor and other harnesses at GLM

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