The $14 vs $2 Plot Twist: Why GLM-4.7 Just Broke the AI Leaderboard

Author(s): Adham Khaled Originally published on Towards AI. Ranking #6 on the Artificial Analysis Index, this open-weight model just made “Agentic AI” affordable for the rest of us. Two months ago, I wrote about how GLM-4.6 was the “Claude-level AI at 1/7th the price.” That article went viral for a simple reason: we are all exhausted by subscription fatigue. We pay $20 for Claude Pro, another $20 for ChatGPT Plus, and then we burn another $50 in API credits just to fix a single React component in Cursor or Cline. Made by AuthorGLM-4.7’s release marks a significant transition in the AI landscape, outperforming prior budget models like Kimi K2 while maintaining drastically lower costs per million tokens. This shift signals a new paradigm in AI affordability and efficiency, catering to developers who require advanced capabilities without the traditional expenses associated with proprietary models. Furthermore, GLM-4.7 features advanced architectures like “Interleaved Thinking” that enhance its performance, making it a contender against the top-tier models and a viable option for a broad range of users. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI