Podpiąłem GLM 5.2 pod Claude Code (pełny poradnik)
GLM 5.2 is an open AI model from China (Z.ai) that comes close to Opus 4.8 and GPT-5.5 in terms of coding, while costing almost 6 times less. In this video, I connect GLM 5.2 to Claude Code step by step and check live whether the more expensive Opus really does the same job better 👇 What you'll find in the video: ↳ What is GLM 5.2: open weight, MIT license, MoE architecture (744B/40B), and one million context tokens ↳ Will you run it at home: the full 1.5 TB vs. a slimmed-down 2-bit version (239 GB on a Mac with 256 GB of memory) ↳ Why the whole world is watching: the open frontier model from China vs. the closed models from the US ↳ An honest reality check of benchmarks: manufacturer slides vs. independent Artificial Analysis ↳ Where GLM catches up with the leaders (long engineering tasks, SWE-bench Pro) and where it falls short (average coding, GPQA) ↳ Price, or the heart of the episode: $4.40 vs. $25 per million tokens (almost 6 times cheaper than Opus) ↳ How to connect GLM 5.2 to Claude Code step by step (ready-made template available for copying in the description) ↳ Security: spending limit on the key and where to keep the key ↳ My test: GLM 5.2 vs. Opus 4.8 on two tasks (3D game + application) with real costs ↳ Who is it really worth it for: role division, cheap workhorse vs. expensive architect Tags: 00:00 - What is the open GLM 5.2 model from Zhipu AI? 04:21 - Benchmark Results: GLM 5.2 Compared to Claude Opus and GPT 08:04 - Cost Comparison (Why is GLM so Cheap?) 09:22 - Guide: How to Connect GLM to Claude Code (via OpenRouter) 17:53 - Generating HTML Pages and Games with GLM 23:42 - Model Summary and Evaluation 📰 AI Newsletter: https://detechtive.pl 🌐 My script from the video for GLM 5.2 - https://github.com/simplybychris/clau... 👥 Join the AI Ninjas community: https://spolecznosc.aininjas.pl 🤝 Collaboration: [email protected] #glm52 #claudecode #opensource

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