We have a new #1 open source AI
GLM-4.7 sets a new benchmark for open-source reasoning models, offering AI filmmakers powerful capabilities for custom tool building and interactive pre-visualization workflows.
What this lesson covers
This video reviews the new GLM-4.7 open-source model, highlighting its advanced coding and reasoning capabilities. The host demonstrates building complex interactive applications like an Android OS simulation, a hand-tracked Fruit Ninja game, and a 3D city builder.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:06 ↗
GLM-4.7 has been released as a top open-source model rivalling closed alternatives.
- 01:17 ↗
The model can generate functional Android OS wireframe simulations from text prompts.
- 04:03 ↗
Users can create interactive games like a webcam-based hand-tracking Fruit Ninja within a few prompts.
- 05:12 ↗
Complex 3D isometric city builders with budget and happiness logic can be fully coded by the model.
Workflow outlined in the video
- Access the GLM-4.7 chat platform online for free testing.
- Use deep thinking modes to prompt complex multi-step coding tasks like app simulations.
- Iterate with follow-up prompts to refine generated web applications and games.
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
154,983 views captured 23 October 2026. ReelStack recommendation score: 44/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 1.39× views vs 12 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: 3 views/day vs 3 channel baseline (7 comparable uploads), with the same view-evidence factor
- 10% engagement: 79/100; likes + 4× comments, smoothed with a 500-view neutral prior