Evaluation loops do this easily. You have to run hundreds of reasoning jobs in parallel and very quickly you can torch thousands of dollars.
Yup, run multiple agents on expensive model in loop via API.
You can do it if your employer has endless pockets.
Example: $30/1M input tokens (I don’t count output or cache, for simplification), you have several daily agents for everything => 3M tokens daily per agent * 10 agents ~> $900/day => $328k/year (API spending)
Yeah, it was basically this, and running a whole lot of agents concurrently to churn through the dataset faster.