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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.
[2]
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.
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Stripe unveiled a new billing feature that helps AI startups manage and track AI-related costs at the token level while adding custom profit margins. The tool automatically tracks API prices across model providers like OpenAI, Google, and Anthropic, then applies a percentage markup to customer charges. Currently in private preview, the feature addresses a critical challenge for AI companies struggling with unpredictable token expenses.
Stripe on Monday released a private preview of a new feature designed to help AI startups and businesses turn AI costs into a profit center rather than just an operational expense. The payment processing platform's latest tool tackles one of the most pressing challenges facing AI companies: how to pass on AI model usage costs to customers while maintaining healthy profit margins
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Source: TechCrunch
The new AI billing capability goes beyond simple cost pass-through by enabling companies to apply a custom percentage markup on token usage automatically. For example, a startup could set a consistent 30% margin over raw LLM tokens costs across all providers, and Stripe's system would handle the calculations and billing for token usage automatically
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. As Stripe explained, companies can "select AI models, track live API pricing, automatically record customer token usage" and then add their desired profit markup on top2
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Source: TechRadar
The feature allows AI startups to pick which AI models they use from providers including OpenAI, Google, and Anthropic. Stripe then tracks the API prices of those model providers in real-time and records customers' token usage
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. The system displays updated token pricing across major providers in a single dashboard and sends notifications when pricing changes occur2
.According to Stripe's support documentation, users simply "enter your desired markup... Click Submit and we'll configure the required Usage-Based Billing resources - prices, meters and rate configuration." The company emphasizes that "you only need to set your margin percentage to start using Usage-Based Billing"
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. Because the markup is percentage-based, it automatically adjusts as fluctuating token prices change from model providers, eliminating the need for manual price updates to maintain profitability.Without proper cost management tools, AI startups face significant financial risks. Many companies currently charge tiered monthly subscriptions with usage-rate caps, but once those limits are hit, subscribers may incur additional fees for exceeding them. Cursor, for instance, changed its pricing last year from unlimited use to rate-limited usage with extra consumption fees
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.Without usage caps, customers could generate substantial bills for startups with model makers, forcing companies to operate in the red. This challenge is especially acute for agentic AI startups, where the more customers use their agents, the more tokens they consume from underlying providers like OpenAI, Google Gemini, or Anthropic
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. Stripe notes that agentic AI also changes token usage patterns, making billing more unpredictable2
.Related Stories
Stripe has also introduced its own AI gateway, giving users access to multiple models to choose the best one for each task. However, the billing tool works with third-party gateways already popular in the market, including those offered by Vercel and OpenRouter, according to a Stripe product manager
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.Other startups already offer AI model cost management features with their own gateways. OpenRouter, which provides access to over 300 models, charges a flat 5.5% markup over token fees for its first-tier plan and includes budget controls
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. Stripe's product manager confirmed on Twitter that the company is not currently charging its own markup on the gateway1
.The feature remains in waitlist mode as Stripe seeks "developers willing to test the functionality and share their feedback"
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. Stripe did not immediately respond to requests about when the feature may become generally available1
. If successful, this tool could help AI companies transform what has been a challenging expense into a sustainable revenue stream while removing the complexity of managing multi-model AI platforms.Summarized by
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