Stripe launches billing tool to transform AI costs into profit centers for startups

Stripe wants to turn your AI costs into a profit center | TechCrunch

Stripe on Monday released a preview of a new feature that could help AI startups (and other companies) solve the problem of passing through the underlying costs of AI model usage to their customers. Stripe's feature, however, goes even further than just passing through the costs of the tokens. It allows startups to charge a markup percentage on token usage. So a company can, for instance, charge an automatic 30% above the cost of the tokens that the startup will pay the model maker. As Stripe described it, "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 billing feature lets the startup pick the AI models it uses. It tracks the API prices of those models. It then records the customers' token usage and applies the profit-margin markup automatically. As we've previously reported, there are a variety of ways that AI startups are charging for their wares. Many of them charge tiered monthly subscriptions that have usage-rate caps; once those are hit, the subscriber may be charged more for exceeding the limit. For instance, Cursor last year changed the pricing on some of its tiers from unlimited use to rate-limited usage, with fees for extra consumption on top. Without a usage cap, users could run up big bills for a startup with the model makers, and force the startup to operate in the red. This is especially acute for agentic startups. The more their customers use their agents, the more tokens they consume from the underlying model provider, be that OpenAI, Google Gemini, Anthropic or others -- making pricing and business model decisions especially critical. Stripe has also introduced its own AI gateway, a tool that give users access to multiple models, letting them choose the best one for the job. But the billing tool also works with third-party gateways that are already popular, like those offered by Vercel and OpenRouter, according to a tweet by a Stripe product manager, There are, of course, other startups offering AI model cost management features with their own gateways. OpenRouter, for instance, which grants access to over 300 models, charges a flat 5.5% markup over the token fees for its first-tier plan, and offers budget controls, too. Stripe is not currently charging its own markup on the gateway, its product manager said on Twitter. The feature, however, is still in waitlist mode. Either way, if Stripe can help startups easily turn tracking and billing for this expense into a profit-maker, it could be a game-changer. Stripe did not immediately respond to a request for comment on when the feature may be generally available.

Stripe wants to help your business claim back all those AI costs

* New Stripe tool tackles variations in token usage by tracking pricing 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 billing feature designed to help startups and SMBs keep tabs on their AI bills at the token level. At the moment, customers must pay model providers like OpenAI and Google a cost per token for the services they offer their customers, which means that high user activity results in high token bills. Stripe says without proper controls, startups can 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 custom market percentage on top of that to increase profit, making billing far more accurate and eliminating the chances of higher-than-anticipated bills payable to their model providers. The tool works by displaying updated token pricing across major providers in one dashboard and notifying users when pricing changes. "Enter your desired markup... Click Submit and we'll configure the required Usage-Based Billing resources - prices, meters and rate configuration," the company wrote in 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 that AI startups currently face, but having all of this information and control within one dashboard will also help for multi-model AI platforms. And because users can set a percentage markup, this gets automatically adjusted as token pricing changes from the model providers, so they don't need to change anything to keep making a profit. Stripe is currently looking for "developers willing to test the functionality and share their feedback," thus the feature is currently in private preview and is not yet generally available. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. Make sure to click the Follow button! And of course you can also follow TechRadar on TikTok for news, reviews, unboxings in video form, and get regular updates from us on WhatsApp too.

Stripe Introduces Billing Tools to Meter and Charge AI Usage | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The update allows developers to send granular usage data including tokens processed, model API calls, agent tasks and automated workflows to Stripe, which meters that activity and converts it into billable charges. According to Stripe, companies can structure that consumption as pay-as-you-go services, usage tiers or metered add-ons, replacing or layering on top of the flat monthly subscriptions that have defined SaaS economics for two decades. The move reflects a growing challenge for software vendors. AI-powered products often generate variable inference costs from model providers while revenue remains tied to flat seat-based pricing. Stripe's approach turns AI activity into billable financial events, helping companies align revenue with the underlying compute costs required to run those systems. For software companies building AI-powered products, this provides a way to structure pricing around consumption rather than fixed subscriptions. Companies can introduce usage tiers, overage fees or metered AI add-ons layered onto standard SaaS plans. According to TechCrunch, the new billing capabilities go further than cost passthrough. Stripe allows companies to apply a markup percentage on top of raw model usage, so a vendor can automatically charge a 30% margin above what it pays the underlying model provider across multiple AI providers simultaneously. The billing tool tracks API prices for whatever models a company selects, records customer-level token consumption and applies the configured markup automatically. It also works with third-party AI gateways including Vercel and OpenRouter, in addition to Stripe's own LLM proxy. The rise of AI copilots and automated workflows is forcing a broader rethink of the SaaS pricing model that has dominated the industry for more than a decade. Most platforms historically relied on seat-based subscriptions, where customers pay a fixed monthly fee based on the number of users. That model works well when software usage is largely tied to human activity. AI systems operate differently. Automated agents can execute hundreds or thousands of actions in the background, analyzing data, generating content or completing workflows without requiring direct user interaction, and each of those tasks consumes compute resources. According to PYMNTS, many technology companies are exploring consumption-based pricing models. In this environment, billing systems capable of measuring AI activity become a critical part of the software stack. Stripe's approach effectively creates a financial layer for AI consumption by translating computational activity into measurable economic units. By turning actions such as model inference, automated document processing or agent workflows into billable events, developers can align product pricing with the actual resources required to operate AI systems. Without a mechanism to track and charge for those activities, companies risk seeing margins erode as customers increase their use of AI-powered features. That risk is steepest for agentic products, where the more customers use AI agents, the more tokens they consume from underlying model providers, making pricing discipline critical at scale. According to PYMNTS, embedded payments and billing platforms are increasingly acting as operational layers that help companies adapt as AI reshapes digital workflows and business models. Stripe's billing infrastructure offers a way to capture AI value as revenue instead of cost, treating AI features as premium capabilities that scale financially with demand. The feature remains in private preview via waitlist.