OpenRouter reports 7.3T agentic token usage by Aug. 10, up 14x since February

The machines are talking to themselves, and they’re getting increasingly chatty. OpenRouter, the AI model aggregation and routing platform, recorded 7.3 trillion tokens of agentic usage on a 7-day average as of August 10, a 14-fold increase from roughly 500 billion tokens on February 6. Human token usage, by contrast, grew to 1.4 trillion tokens over the same period, a more pedestrian 2.8x increase. Agents are eating the inference budget On February 6, agentic usage first crossed above human levels on the platform. Six months later, agents are consuming more than five times what humans are. Agentic workloads, where AI models execute complex multi-step tasks like coding, debugging, or automated research, consume roughly 13 to 15 times more tokens per individual request than a typical human interaction. OpenRouter classifies its traffic using a weighted composite score that factors in tool calls, conversation turns, and timing patterns. This segmentation approach lets the platform distinguish between a human chatting with Claude and an automated pipeline chaining together dozens of model calls to complete a task. What’s driving the surge Cost-efficient open-weight models, particularl...