AINFT has introduced a transparent pricing model that clearly delineates costs associated with its services, enhancing user trust. The platform separates the cost of 'Deep Thinking,' where models consume 124 tokens for processing but output only 9 tokens of text, highlighting the resource-intensive nature of reasoning models like o1 and Gemini Pro. This transparency allows users to understand the exact cost of computational resources. Additionally, AINFT displays the cache status, distinguishing between new queries and those using cached context, with uncached inputs consuming 57 tokens. This enterprise-level pricing logic contrasts with opaque, flat-rate models, providing users with a clear understanding of their expenses. By revealing its pricing mechanisms, AINFT aligns with Web3 principles of transparency and trust, ensuring users feel informed and respected in their transactions.