Stripe has introduced a preview of a new billing feature aimed at helping AI startups and software companies better manage and monetize the costs associated with large language model (LLM) usage. The tool is designed not only to pass through token usage expenses to end customers but also to enable companies to apply a customizable markup on those costs, effectively turning AI infrastructure spending into a revenue opportunity.
According to Stripe, the feature allows businesses to define a target margin above the raw token costs charged by AI model providers. For example, a startup could automatically apply a 30% markup over the base token pricing it pays to model providers. “Say you’re building an AI app: you want a consistent 30% margin over raw LLM token costs across providers. Billing automates the process,” the company explained.
The system enables startups to select the AI models they rely on, monitor API pricing across those models, and track customer token consumption in real time. It then calculates and applies the pre-set margin automatically when generating invoices. This approach is intended to simplify what has become a complex pricing challenge for AI-driven businesses.
AI startups currently use a variety of monetization models. Many rely on tiered subscription plans with usage caps, charging additional fees once customers exceed predefined token limits. Cursor, for example, adjusted its pricing structure last year by shifting certain plans from unlimited access to rate-limited usage, with extra charges for additional consumption.
Without clear usage controls or dynamic billing, startups risk incurring substantial costs from model providers such as OpenAI, Google Gemini, and Anthropic, particularly when customers use AI-powered agents heavily. Agent-based applications can generate high token consumption, making careful pricing and cost management essential to maintaining profitability.
In addition to the billing tool, Stripe has launched its own AI gateway, which allows developers to access multiple AI models and choose the most suitable option for a given task. The billing feature is also compatible with third-party gateways that are already widely used, including those from Vercel and OpenRouter, according to a Stripe product manager’s post on X.
Other platforms are also competing in the AI cost management space. OpenRouter, which provides access to more than 300 AI models, charges a flat 5.5% markup on token fees under its entry-level plan and offers built-in budget controls. Stripe, however, has stated that it is not currently applying its own markup on usage through its gateway.
The feature remains in preview and is currently available via a waitlist. Stripe has not yet announced a timeline for broader availability. If widely adopted, the tool could reshape how AI startups approach pricing strategies, enabling them to systematically convert variable AI infrastructure costs into predictable profit margins while maintaining transparency for customers.
