Introducing Zed's Agent Metrics

Zed has introduced Agent Metrics, a public tool providing weekly insights into the adoption and performance of AI agents within its platform, allowing users to compare session counts, turn volumes, and response time distributions across different agents. This tool offers a unique perspective as it includes data from third-party agents supported through the open Agent Client Protocol, reflecting trends specific to Zed's user base from those who have opted into data collection. Key observations include the notable increase in latency for the claude-sonnet-4-6 model over a three-week period, and the dominance of Zed and Claude agents in session and depth metrics, respectively, within the platform's 15.4 million turns across 2 million sessions over the past 90 days. Additionally, analysis of the GPT-5 variants reveals a dynamic and rapidly evolving landscape, highlighting distinct naming patterns and fast-paced updates, which suggest multiple active development tracks. Despite these insights, the tool does not assess the quality of outcomes generated by different agents, as it focuses on usage behavior and response times, rather than the effectiveness of the agents in solving complex problems.

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