Estimating Cost Before You Call

Estimation

Part of: Cost & Token Budgeting

You're about to wire an AI feature into your app that fires on every page load. Before you ship it, one question should keep you up at night: what will this cost when ten thousand people use it? You don't need to guess. You can estimate the cost of a call before you ever make it. What it is Cost estimation is a two-step trick. First, estimate the token count from the text you have. Second, plug those tokens into the price to get an expected dollar figure. Do this before launch and the invoice never surprises you. The token estimate uses the rough rule from the basics: about 1 token per 4 characters of English. It isn't exact, the real tokenizer is, but it's close enough to budget with. Count characters, divide by four, round up. How it works Say you have a prompt and an expected answer length: For output you usually can't measure ahead of time, so you assume a budget : "I'll cap the answer at 200 tokens", and price against that. That assumption is also a spending limit you can later enforce. Why it matters The real power is multiplying by scale. One call at $0.0002 sounds free. The same call 100,000 times a day is $20 a day, $600 a month. Estimating per-call cost and multiplying by

Challenge: The Pre-Flight Estimator