AINFT has unveiled a new billing model that offers unprecedented transparency in AI model usage, highlighting the computational costs associated with its reasoning models. The platform details the token consumption for processes like "Deep Thinking," where 124 tokens were used to generate just 9 tokens of text output. This approach allows users to see the computational effort behind the scenes, providing clarity on costs that might otherwise seem excessive. Additionally, AINFT's billing system accounts for whether inputs are cached, potentially reducing costs for repeated queries. This granular billing method is likened to precise market pricing, offering users reassurance that charges reflect actual computational work rather than arbitrary fees. This transparency aligns with Web3 principles, treating users as partners rather than mere consumers, and reflects confidence in AINFT's cost management and commitment to disrupting traditional Web2 pricing models.