real-time model pricing 4

https://wiki-cable.win/index.php/Handling_Zero_Cost_Failed_Requests_in_AI_API_Marketplaces

Real-time model pricing adjusts the cost of AI predictions or inference based on current demand, server load, and input complexity. This dynamic approach lets users see immediate per-query or per-token costs unlike fixed subscription plans. Developers hit the API during peak hours might pay more for low-latency access, while off-peak usage is cheaper. It's a way to balance marketplace forces with technical resources, making end-user experiences predictable while respecting infrastructure constr…