Glossary · Business and pricing

What is Provisioned throughput?

Provisioned throughput 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

Provisioned throughput 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, provisioned throughput 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 GPT-NeoX 8B with another model for a production task. Provisioned throughput is one of the factors behind the numbers you see: GPT-NeoX 8B lists a 16,384-token context window, costs $0.25 per million input tokens and scores 62.9 on HellaSwag. Understanding the term helps you decide which of those differences actually matter for your workload.

How to evaluate it

  • Check whether provisioned throughput 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 Provisioned throughput mean?

Provisioned throughput 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 Provisioned throughput 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 Provisioned throughput used in practice?

Suppose you are comparing GPT-NeoX 8B with another model for a production task. Provisioned throughput is one of the factors behind the numbers you see: GPT-NeoX 8B lists a 16,384-token context window, costs $0.25 per million input tokens and scores 62.9 on HellaSwag. Understanding the term helps you decide which of those differences actually matter for your workload.