Token Pass now includes $150 in tokens for $30/month
- Source
- vercel.com
- Author
- Roman Olynyk
- Date

Context
Vercel raised the credit in Pass, its $30-a-month add-on for Pro teams, from $80 to $150 of model usage a month at the same price (Vercel changelog). Token Pass pays for a set of featured models used through Vercel's AI Gateway, a service that sends an app's or coding 's model requests on to the providers serving them. The credit covers Kimi K3 and Kimi K3.1 Pro from Moonshot AI, GLM 5.3 and GLM 5.3 Flash from Z.ai, and DeepSeek V4.1 Flash from DeepSeek. It resets each billing period, unused credit does not roll over, and the documentation says everyone on the team shares one balance. When the pass launched, it offered the $80 for GLM 5.3 and Kimi K3 only.
What happens when the credit runs out depends on the credential a request uses. Requests made with a standard AI Gateway key or an OIDC token, the identity token a Vercel deployment can use to call AI Gateway, fall back to the team's regular AI Gateway balance and keep working, billed at the serving provider's rates. Requests made with a key restricted to Token Pass stop until the next billing period, so they never cost more than the pass. The documentation adds that the fallback needs enough AI Gateway credit to succeed, and that a key is restricted with a setting chosen when it is created. A restricted key therefore caps what the agents using it can spend at the pass, while a standard key keeps agents or deployed apps running for as long as the team has AI Gateway credit. Token Pass remains in Early Access with limited spots, and a waitlist opens when they fill.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
- open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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