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How AI Tokenization Works: Models, Costs, and the Hidden Economics of Token Consumption

How AI Tokenization Works

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Uncover negotiation leverage and unlock savings across your IT spend.

Understanding AI tokenization is the foundation of effective enterprise AI cost management. As part of NPI’s Mastering AI Economics: A Procurement Leadership Series, this whitepaper explains how AI models process and bill tokens, why the cheapest model isn’t always the lowest-cost option, and how procurement teams can make smarter decisions about AI consumption before costs spiral.

In this whitepaper, you’ll learn:

  • How tokenization works and why it drives AI costs
  • The difference between input and output tokens and why it matters
  • Why lower-cost models can become more expensive for complex workloads
  • How Batch API and Prompt Caching can dramatically reduce AI costs
  • Practical guidance for selecting the right model for the right workload

Download the whitepaper to build a stronger understanding of AI cost drivers and make more informed AI procurement decisions.

Download

Subscribe For Updates

Uncover negotiation leverage and unlock savings across your IT spend.