Glossary · Business and pricing

What is Price per million tokens?

Price per million tokens is a commercial or pricing concept in the AI market. It is part of the vocabulary teams use when they compare models, design prompts or review an AI system.

Definition

Price per million tokens is a commercial or pricing concept in the AI market. It is part of the vocabulary teams use when they compare models, design prompts or review an AI system. The term is used in business and pricing discussions, where precision matters: two teams can use the same word to mean slightly different things. In this glossary, price per million tokens is treated as a practical concept rather than a formal specification.

Why it matters

Business terms describe how AI models are packaged, priced and procured. They matter because token pricing, caching and volume discounts can change the economics of a product more than a few benchmark points.

Example

Suppose you are comparing Gemini 3 Pro with another model for a production task. Price per million tokens is one of the factors behind the numbers you see: Gemini 3 Pro lists a 2,000,000-token context window, costs $18.24 per million input tokens and scores 91.3 on HellaSwag. Understanding the term helps you decide which of those differences actually matter for your workload.

How to evaluate it

  • Check whether price per million tokens is defined the same way in the documentation you are reading.
  • Ask which measurement or trade-off the term is describing before comparing numbers.
  • Separate vendor claims from independently observed behaviour on your own data.
  • Write down the definition your team uses so reviews and evaluations stay consistent.

Related terms

Related guides

FAQ

What does Price per million tokens mean?

Price per million tokens is a commercial or pricing concept in the AI market. It is part of the vocabulary teams use when they compare models, design prompts or review an AI system.

Why does Price per million tokens matter?

Business terms describe how AI models are packaged, priced and procured. They matter because token pricing, caching and volume discounts can change the economics of a product more than a few benchmark points.

How is Price per million tokens used in practice?

Suppose you are comparing Gemini 3 Pro with another model for a production task. Price per million tokens is one of the factors behind the numbers you see: Gemini 3 Pro lists a 2,000,000-token context window, costs $18.24 per million input tokens and scores 91.3 on HellaSwag. Understanding the term helps you decide which of those differences actually matter for your workload.