- New Stripe tool handles variations in token usage by tracking prices per token
- Companies can apply a percentage markup that updates as token prices change
- It removes the stress and complexity of managing multi-model AI platforms
Stripe has launched a new invoicing feature designed to help startups and SMBs keep track of their AI bills at the token level.
Currently, customers must pay model providers such as OpenAI and Google a price per token for the services they offer their customers, meaning high user activity results in high token bills.
Stripe says that without proper controls, startups risk operating at a loss. Agentic AI also changes token usage patterns slightly, making billing more unpredictable.
Stripe lets AI startups charge at the token level
With Stripe’s new feature, startups can select AI models, track live API pricing, automatically record customer token usage, and then apply their own customized market percentage on top of that to increase profits, making billing far more accurate and eliminating the chances of higher-than-expected bills being paid to their model providers.
The tool works by displaying updated token prices across major providers in one dashboard and notifying users when price changes. “Enter your desired markup… Click Submit and we’ll configure the necessary usage-based billing resources – rates, meters and rate configuration,” the company wrote on a support page. “You only need to set your margin percentage to start using usage-based billing.”
The payment processing platform hopes that the token-level transparency will help remove the pricing complexity currently faced by AI startups, but having all this information and control within one dashboard will also help multi-model AI platforms.
And because users can set a percentage markup, this is automatically adjusted as token price changes from the model providers, so they don’t have to change anything to keep making money.
Stripe is currently looking for “developers willing to test the functionality and share their feedback,” so the feature is currently in private preview and not yet generally available.
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