# AI Gateway production index

DevFeed: [AI Gateway production index](<https://devfeed.tech/articles/ai-gateway-production-index-723.md>)

Original publisher: [Read original article](<https://vercel.com/blog/ai-gateway-production-index>)

Author: Yvonne Zhou

Published: 2026-05-12T04:00:00Z

Content type: article

Language: en

Sources: [Vercel News](<https://devfeed.tech/sources/vercel-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>), [Google](<https://devfeed.tech/topics/google.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [data](<https://devfeed.tech/topics/data.md>), [Claude](<https://devfeed.tech/topics/claude.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-gateway](<https://devfeed.tech/tags/ai-gateway.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [claude](<https://devfeed.tech/tags/claude.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [models](<https://devfeed.tech/tags/models.md>), [openai](<https://devfeed.tech/tags/openai.md>), [report](<https://devfeed.tech/tags/report.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [vercel](<https://devfeed.tech/tags/vercel.md>)

## AI overview

Vercel's AI Gateway production index analyzes seven months of production traffic from more than 200,000 teams. It reports that Anthropic leads AI spending while Google leads token volume, with OpenAI's share growing after recent model releases. The data also shows increasing use of open-source models, routing across many models, and agentic workloads accounting for 59% of token volume.

## Source excerpt

Ask which AI model is best, and the answer changes before the ink dries. That's what happens in an industry where new models are released weekly. Every benchmark measures a different race, and every race crowns its own winner, but Vercel has a unique view of the industry through production workloads. AI Gateway serves tens of trillions of tokens across hundreds of models through real applications and agents. What we're seeing: Anthropic leads in spend despite a higher unit price, Google leads in volume OSS models are gaining traction, but there is no loyalty to specific labs OpenAI spend share is growing quickly after recent model updates High-volume workloads route across 30+ distinct models on average Agentic workloads carry 59% of all token volume (up 2x over 6 months) This report is built on data from seven months of production traffic from AI Gateway, with usage from over 200K+ unique teams. Anthropic leads in spend; Google leads in volume Cost and volume rankings disagree because they measure two different workloads, even for the same customer. By spend in April 2026, Anthropic took 61%, Google 21%, and OpenAI 12%. By token volume, the picture flipped. 38% of April traffic through AI Gateway routed to Google, 26% to Anthropic, 13% to OpenAI, and 10% to xAI. Smaller labs split the rest. Some models are positioned to win by being cheap enough per token to carry huge volume, while others are priced high enough to make sense only for quality-critical work. The different models are not competing for the same call. In aggregate the same customer base sits on both leaderboards, with premium reasoning calls landing on Claude Opus and cheap fast calls landing on Gemini Flash. Spend follows the high-stakes calls, and volume follows the low-stakes ones, with the labs each holding a different layer of the same applications. Volume-vs-spend also changes quickly at the lab level. A few specific signals: Gemini Flash helped Google take the lead on volume at a smaller share o