VercelEngineering PostOfficial Source
Open-weight models surge to 29% of volume, price per token flattens
Vercel’s June gateway data shows cheap volume moving to open-weight models while costly agent workloads stay on frontier models, strengthening the case for risk-based routing.
Vercel · Jul 13, 2026
Source Summary
In June, open-weight models carried **29% of gateway tokens for under 4% of spend**. Anthropic took **61% of spend on 32% of tokens**, including at least 72% of spend in each high-stakes use case.
Practical Implication
Builders running coding agents should route by workload: test cheaper models on repeatable, high-volume tasks while reserving costly frontier models for work where errors carry more risk. Track quality and spend separately.
Agent-Ready Context
In June, open-weight models carried **29% of gateway tokens for under 4% of spend**. Anthropic took **61% of spend on 32% of tokens**, including at least 72% of spend in each high-stakes use case. Builders running coding agents should route by workload: test cheaper models on repeatable, high-volume tasks while reserving costly frontier models for work where errors carry more risk. Track quality and spend separately. This is anonymized aggregate Vercel AI Gateway data, not a controlled model evaluation. Provider shares reflect its customers and routing mix, while media counts use generated outputs rather than tokens.
Context Map
industrycodingdata#open-models#model-selection#adoptionUncertainty
This is anonymized aggregate Vercel AI Gateway data, not a controlled model evaluation. Provider shares reflect its customers and routing mix, while media counts use generated outputs rather than tokens.