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AI Cost and Latency Planning

Estimate a fictional AI workflow budget and response time, including retrieval, retries and human review.

3 reading lessons · about 30 min ·written by MTT

The idea

AI services may bill for input tokens, output tokens, requests or other units. Identify the actual units and rate period before estimating usage. Include retrieved context, retries and supporting services. Prices vary by provider and model, so use a dated official pricing source for a real budget, not an undated example.

Worked example

At hypothetical rates of 2 units per million input tokens and 8 per million output tokens, a request using 1,000 input and 500 output tokens costs 0.002 plus 0.004, or 0.006 units. This is an arithmetic example, not a quote for any live service.

Try it

Estimate 10,000 requests using the hypothetical request above. Then add a 20% retry overhead under the assumption that retries have equal usage. List other costs excluded from your estimate and state which rate information you would verify before a real deployment.

Lesson 1 of 3 · About 10 min

Write down the billing units

Check your understanding

Course quiz

Finish the course to unlock the quiz

Complete all 3 lessons and 5 questions open up here. You have 3 to go.

What you will learn

  • Calculate cost from explicit unit assumptions
  • Measure end-to-end latency
  • Plan limits and safe fallback behavior

Before you start

Prerequisites
Basic arithmetic. Exercises use hypothetical rates, not current provider pricing.
Cost
Free introductory reading lessons, exercises and quiz. Optional third-party tools, hosting or AI subscriptions may cost money.

Original introductory lessons and assessment by Master the Trick. Estimated times include the suggested exercises.