AI Gateway production index
Anthropic 61% of spend, Google 38% of volume. The AI market isn't one race—it's five happening at once, and your model choice depends on how expensive being wrong is.
Why it matters
Vercel's anonymized production data from 200K+ teams reveals that AI provider dominance is use-case-fragmented, not monolithic. Anthropic dominates high-stakes spend, Google leads volume on cheap inference, and teams at scale route across 35+ models, making traditional model benchmarks obsolete for real-world decision-making.
The key facts
13 to knowApril 2026 spend: Anthropic 61%, Google 21%, OpenAI 12%
April 2026 token volume: Google 38%, Anthropic 26%, OpenAI 13%, xAI 10%
Agentic workloads: 22.2% of requests, 58.9% of tokens (2.6x more token-heavy than non-agentic)
Agent tool-call share doubled from 11.4% (Oct 2025) to 22.2% (Apr 2026)
High-volume teams (10M+ requests) use average 35 distinct models in regular rotation
Claude Sonnet 4.6 absorbed most of Sonnet family share within 1 month of launch
Claude Opus 4.7 migration mirrors Sonnet 4.6 adoption curve
Anthropic 71% token share in back-office, drops to 7% in consumer
Google Gemini Flash: 28% of consumer tokens at 15% of cost
B2B applications spend roughly 2x per token vs B2C
3.5% of requests complete via fallback routing; 5.1% by tokens; 4.9% by cost
OSS models (Kimi, MiniMax, GLM) significant in consumer and building tiers
Data source: 7 months Vercel AI Gateway production traffic, 200K+ unique teams, through April 2026
Go to the source
Vercel Blogvercel.com
Publisher 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…