
GLM 5.2 Desktop App Tutorial
AI Automation Station4 July 2026Watch on YouTube
Part of series
Ep. 13 · GLM 5.2: open-source frontier
Analyse en vergelijking van GLM 5.2 als competitief open-source alternatief voor gesloten AI-modellen.
View the seriesWhat you'll learn
- You learn how to install the ZCode desktop app to run the GLM 5.2 model locally on Windows, Mac, and Linux.
- The app offers multiple pricing plans, from free to premium, with clear token and credit usage for coding tasks.
- You discover how to use the built-in terminal, edit configuration files, and activate project indexing.
- The GLM 5.2 model performs well on benchmarks and you can adjust thinking levels and daily credit limits as needed.
- You can compare the app directly with terminal-based tools and gain visibility into total token usage per session.
Frequently asked questions
Which operating systems are supported by the ZCode desktop app?
How can you adjust thinking levels and credit limits in the ZCode app?
What are the benefits of the built-in terminal in the ZCode app?
How can you monitor your total token usage across sessions?
Topics
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Description from the channel
Join the growing AI community ⤵️ https://www.ai-automation-station.com Learn how to setup and install the ZCode desktop app to run the GLM5.2 model fast and easy. 🔗 Useful Links & Resources: Get started with → https://zcode.z.ai/ Get TubeAnalytics → https://www.tubeanalytics.net Work with me → https://automojic.vercel.app/ 🌐 Follow Me on Social Media: 🧿 Linkedin: http://www.linkedin.com/in/mikeholp 🧿 Facebook: https://www.facebook.com/mikeabroad87 🧿 Instagram: https://www.instagram.com/mikeholp 🧿 Tiktok: https://www.tiktok.com/@mikeabroad87 🧿 Twitter: https://www.twitter.com/mikeholp 🧩 Recommended Tools (affiliate links): - Apollo → https://get.apollo.io/1mpkcotn2pwa - Deel → https://get.deel.com/c4kz6nolu1bg - Fiverr → https://www.fiverr.com/pe/VY9mgKZ - GetResponse → https://www.getresponse.com/?ab=TYTFh9kHv3 - HeyGen → https://www.heygen.com/?sid=rewardful&via=mike-holp - Hostinger → https://www.hostinger.com?REFERRALCODE=5XNDIGITACZ9 - Lovable → https://www.lovable.dev/?via=mike-holp - Make.com → https://www.make.com/en/register?pc=mikeholp - OpusClip → https://www.opus.pro/?via=8b6827 - Pikzels → https://www.pikzels.com?via=mike76 - SendPulse → https://www.sendpulse.com?p=68ef5bec898ba - Skool → https://www.skool.com/signup?ref=8be413d469374945a9c1f8db3e5a92a0 - Syllaby → https://www.syllaby.io/?via=mike26 - TubeBuddy → https://www.tubebuddy.com/pricing?a=digitalnomadventures - VAPI → https://vapi.ai/?aff=mike9c - VidIQ → https://www.vidiq.com/mikeholp 📺 Watch More Related Tutorials - Full Make.com Course → https://youtu.be/R90zVHmoj7A - WhatsApp AI Agent Course → https://youtu.be/1TPm7B5oStw - HeyGen AI Avatar Tutorial → https://youtu.be/QMcaBMjZSMA - Automate Your Lead Generation → https://youtu.be/X0X8kJTK7vA ⌚ Timestamps: 0:00 - Introduction to GLM 5.2 and its new official desktop app, Zcode. 1:05 - Supported operating systems and running the app locally on Linux. 2:10 - Exploring pricing plans from the free tier to premium coding options. 3:15 - Accessing the built-in terminal and editing configuration files. 4:21 - Breaking down token pricing, usage metrics, and platform rankings. 5:26 - Reviewing model performance benchmarks on Bridgebench. 6:31 - Adjusting agent thinking levels and daily credit settings. 7:37 - Comparing the app workflow directly against terminal-based tools. 8:42 - Activating project indexing and reviewing total session token usage. 9:48 - Running a full site code review and community resources overview. 🔎 Hashtags (SEO Optimized): #ai #coding #zcode