v1

latestOpenAPI 3.0.0Apache 2.0 License2026-07-1411386222.7 KB

Returns the token count for a given inference request. This operation helps you estimate token usage before sending requests to foundation models by returning the token count that would be used if the same input were sent to the model in an inference request.

Token counting is model-specific because different models use different tokenization strategies. The token count returned by this operation will match the token count that would be charged if the same input were sent to the model in an InvokeModel or Converse request.

You can use this operation to:

  • Estimate costs before sending inference requests.

  • Optimize prompts to fit within token limits.

  • Plan for token usage in your applications.

This operation accepts the same input formats as InvokeModel and Converse, allowing you to count tokens for both raw text inputs and structured conversation formats.

The following operations are related to CountTokens:

  • InvokeModel - Sends inference requests to foundation models

  • Converse - Sends conversation-based inference requests to foundation models

post/model/{modelId}/count-tokens

Path parameters

modelIdstring required

ARN or ID of a Bedrock model

The unique identifier or ARN of the foundation model to use for token counting. Each model processes tokens differently, so the token count is specific to the model you specify.

Request body

Response

Success

inputTokensinteger required

The number of tokens in the provided input according to the specified model's tokenization rules. This count represents the number of input tokens that would be processed if the same input were sent to the model in an inference request. Use this value to estimate costs and ensure your inputs stay within model token limits.