AI Gateway production index

This post provides a detailed analysis of Vercel's AI Gateway production workload data from seven months, covering token volume and spend across various AI labs (Anthropic, Google, OpenAI, xAI, etc.). It highlights key trends such as the rise of open-weight models, the strategic routing of high-volume tasks to cheaper models, and the differing economics of B2C vs. B2B AI applications. The analysis breaks down cost and volume by use case (personal assistants, coding agents, back office, etc.) and by provider within those use cases, demonstrating that model selection is driven by the cost of incorrect outputs. The post also notes the rapid growth of OpenAI's spend share after recent model releases and the increasing dominance of agentic workloads.