Before: every pass carries the whole history. After: you can estimate what a smaller context saves. Count removable input tokens per pass × runs, then price that difference using model reference pricing in Tempr. #LongContextPricing #TokenCostEstimates https://temprhq.io/models

Budget context for the review too. A long doc shares the window with your instructions and the response. Compare context windows, not just prices, to find a model with room to work. #ContextWindows #LongContextPricing https://temprhq.io/models