Token Economics: From Cost per Token to Value per Outcome

​Each model call has a marginal cost. Agent workflows multiply that cost through longer context, retries, and tool use. Usage can rise while gross margin falls, even as model prices drop.

​Token Economics brings together founders, investors, engineers, and operators to examine how AI companies turn inference spend into business value.

​The panel will cover model selection, routing, caching, agent reliability, pricing, and token-level P&L. We will examine when frontier models earn their price and where teams can use smaller models to improve margins. We will also discuss how teams can connect token spend to revenue and customer outcomes.

​This event is for founders, product leaders, engineers, investors, and operators building AI products in production.

​Hosted by Llama Beta Fellowship and Hellyeah.

​Space is limited.

​Hellyeah AI event is independently organized and operated solely by Hellyeah AI. TechCrunch Media, LLC is not responsible for the event's content, programming, speakers, venue, attendee conduct, or any incidents, injuries, or claims arising from the event. Hellyeah AI agrees to indemnify and hold harmless TechCrunch Media, LLC from any liability related to the event.