According to @justinsuntron, AINFT exposes billing-level transparency for AI reasoning models by itemizing Deep Thinking compute, noting a screenshot where internal reasoning consumed 124 tokens while text output used only 9 tokens. According to @justinsuntron, the interface flags Uncached Input to indicate whether context caching was used, implying costs could be lower on cache hits. According to @justinsuntron, this enterprise-grade, granular pricing reassures users that fees reflect real compute rather than opaque charges. According to @justinsuntron, AINFT earns a channel fee and embraces a Web3 ethos of code is law and math is truth, framing it as a transparent alternative to Web2 pricing.