{"slug": "vercel-reports-open-weight-models-hit-62-of-ai-gateway-traffic-in-august", "title": "Vercel reports open-weight models hit 62% of AI Gateway traffic in August", "summary": "Open-weight AI models accounted for 62% of all tokens processed through Vercel's AI Gateway on August 22, up from 28.4% on June 24, according to Vercel CEO Guillermo Rauch. Despite this volume share, Anthropic's closed models captured 61% to 65% of total expenditure on the gateway, highlighting a cost-driven shift in enterprise AI deployment.", "body_md": "Via bleepingcomputer.com\n\n# Vercel reports open-weight models hit 62% of AI Gateway traffic in August\n\nOpen-weight models nearly tripled their share of Vercel's token volume in two months, reshaping how enterprises think about AI spending\n\nTwo months ago, open-weight AI models were a minority player on Vercel’s infrastructure. Now they’re running the show, at least by volume.\n\nVercel CEO Guillermo Rauch reported on August 22 that open-weight models accounted for 62% of all tokens processed through Vercel’s AI Gateway, up from 28.4% on June 24.\n\n## How fast is fast?\n\nOpen-weight models held just 11% of Vercel’s token volume in April. By June they were at 29%. By late August they crossed 62%.\n\nVercel’s AI Gateway acts as a routing and traffic management layer for AI-powered applications, meaning its data reflects real production workloads from real companies, not benchmark experiments or lab conditions.\n\nThe structural thing happening here is cost. Open-weight models can run at roughly one-tenth the price of their closed-source counterparts, and enterprises have figured out that not every AI task needs a premium model to get the job done.\n\n## The spending paradox\n\nDespite commanding 62% of token volume, open-weight models are not commanding 62% of the money.\n\nAnthropic’s closed models captured between 61% and 65% of total expenditure on the gateway in recent reporting periods. Claude is processing a minority of tokens but collecting a majority of the revenue.\n\nDeepSeek has climbed to the top, or near the top, of Vercel’s token volume leaderboard, overtaking Google in processing share.\n\n## What this means for AI deployment broadly\n\nMajor companies including AT&T and Coinbase have been noted among those emphasizing cost-reduction strategies in AI deployment, which aligns with exactly the kind of workload routing the Vercel data describes.\n\n**Disclosure:** This article was edited by Editorial Team. For more information on how we create and review content, see our\n\n[Editorial Policy](https://cryptobriefing.com/editorial-policy/).", "url": "https://wpnews.pro/news/vercel-reports-open-weight-models-hit-62-of-ai-gateway-traffic-in-august", "canonical_source": "https://cryptobriefing.com/vercel-open-weight-models-62-percent-august/", "published_at": "2026-08-23 23:14:55+00:00", "updated_at": "2026-08-23 23:42:47.667590+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-infrastructure", "ai-policy"], "entities": ["Vercel", "Guillermo Rauch", "Anthropic", "DeepSeek", "Google", "AT&T", "Coinbase"], "alternates": {"html": "https://wpnews.pro/news/vercel-reports-open-weight-models-hit-62-of-ai-gateway-traffic-in-august", "markdown": "https://wpnews.pro/news/vercel-reports-open-weight-models-hit-62-of-ai-gateway-traffic-in-august.md", "text": "https://wpnews.pro/news/vercel-reports-open-weight-models-hit-62-of-ai-gateway-traffic-in-august.txt", "jsonld": "https://wpnews.pro/news/vercel-reports-open-weight-models-hit-62-of-ai-gateway-traffic-in-august.jsonld"}}