GLM 5.2 is great ... but #AI #GLM #Claude #OpenAI #Anthropic

This video explores why GLM 5.2, a free and high-performing AI model, is not gaining traction despite outperforming paid models like Claude and OpenAI, examining the economic and behavioral barriers to adoption.

What it covers

GLM 5.2 Performance
GLM 5.2 matches or exceeds Claude and OpenAI models on most real-world tasks, offering strong performance at no cost.
Cost Efficiency
Despite being free, GLM 5.2 could drastically reduce token costs for engineers spending tens of thousands weekly.
Adoption Paradox
Many high-spending AI engineers continue using expensive models instead of switching to the free, superior GLM 5.2.
Market Dynamics
Anthropic and OpenAI continue growing revenue despite GLM 5.2’s existence, highlighting a disconnect in market behavior.
Barriers to Switching
The video analyzes the psychological, technical, and ecosystem-based reasons why users resist switching to GLM 5.2.
Further Analysis
A linked Substack article provides a deeper breakdown of why GLM 5.2 remains underutilized despite its advantages.