Open-Weight Models Now Handle 71.5% Of Gateway Tokens

Open-weight AI models processed more than 7 in 10 tokens on Vercel's AI Gateway in September, up from a minority share in June, as spending on them more than quadrupled.

By the Numbers

71.5%
Open-weight token share, Sept 2026
5%->24%
Open-weight spending share, June->Sept
13x
Gateway spending growth vs Dec 2025
-47%
Avg price per token vs Dec 2025
~33%
Teams that switched top provider, Sept
Open-Weight Models Now Handle 71.5% Of Gateway Tokens: key figures
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THE RUNDOWN

1

Open-weight models crossed 50% of token volume for the first time in August and kept climbing to 71.5% by September, per Vercel's own gateway data.

2

Spending on open-weight models more than quadrupled in three months, even as the average price per token fell sharply across the board.

3

Nearly a third of teams switched their most-used provider in a single month, suggesting real vendor-lock-in risk for closed-model API businesses.

4

The shift is happening as China moves to tighten export controls on some of the very open-weight models gaining share.

The VC Read

Value Add VC analysis

The lock-in story collapsed faster than expected -- a third of teams switching providers in one month means switching costs are near zero at the margin. For anyone underwriting a 'moat' thesis around a specific foundation model, this data says the moat is the product built on top, not the model API itself.

Analysis

Open-weight AI models processed more than 7 in 10 tokens -- 71.5% -- on Vercel's AI Gateway in September 2026, up from a minority share in June, according to The Register. Vercel's data shows open-weight models crossed 50% of token volume for the first time in August and kept climbing from there.

The spending shift is even sharper than the usage shift: open-weight models captured roughly 5% of gateway dollars in June and nearly 24% by September, even as the average price per token fell about 47% from December 2025 levels. Gateway spending overall was roughly 13 times higher in September than in December 2025. DeepSeek alone accounted for 58% of tokens and 6.6% of spending, while Moonshot's Kimi took 3.6% of tokens but 13.2% of spending, and Z.ai's GLM-5.3 held 7.2% of tokens and 4.5% of spending -- DeepSeek shipped an MIT-licensed update, V4.1-Flash-1017, the same week.

“Gateway spending overall was roughly 13 times higher in September than in December 2025.”

Nearly a third of teams changed their most-used AI provider in September alone, a churn rate that undercuts the idea that foundation-model relationships carry heavy lock-in. Anthropic's Claude Opus 5.5 still commanded the largest single spending share at 11.03%, with OpenAI's GPT-6 Astra at 4.86%, but closed models' combined share is shrinking against a widening field of cheaper open-weight alternatives. More than two-thirds of September's spending on Chinese models flowed through US-based hosts, up from under a tenth in December 2025, a detail that matters given China's own draft export curbs on some of those same models.

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Key Sources

2 sources

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