New #1 open source AI model just dropped
Advanced open-source LLMs with agent capabilities offer creators powerful local tools for brainstorming, prototyping, and multi-step pipeline automation.
What this lesson covers
This video reviews GLM-5 by Zhipu AI, highlighting its agent capabilities, sandbox environment coding, and performance benchmarks. It demonstrates the model's ability to autonomously build educational courses and mock mobile operating systems.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:20 ↗
GLM-5 by Zhipu AI is positioned as an open-source model with advanced reasoning and agent capabilities.
- 00:45 ↗
The agent feature allows the model to autonomously perform multi-step tasks like planning, coding, and testing in a sandbox.
- 01:13 ↗
Using the agent mode, GLM-5 can build multi-page interactive web applications from a single prompt.
- 02:20 ↗
GLM-5 integrates image generation tools for creating visual assets within its generated applications.
Workflow outlined in the video
- Visit the Zhipu AI chat interface to test the GLM-5 model capabilities.
- Experiment with GLM-5's agent mode for multi-step content creation and prototyping tasks.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
99,562 views captured 23 October 2026. ReelStack recommendation score: 30/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.72× views vs 11 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 1 views/day vs 5 channel baseline (7 comparable uploads), with the same view-evidence factor
- 10% engagement: 84/100; likes + 4× comments, smoothed with a 500-view neutral prior