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Use-case cost estimate

AI Customer Support Agent Cost Calculator Example

Support agents often process more context than simple chatbots because they include policy text, customer history, retrieved articles, and tool results.

Default workload assumptions

These values make the example reproducible. They are planning assumptions, not measured usage from your application.

Input tokens per ticket
1,500
Output tokens per ticket
500
Tickets per month
5,000
Example model
Claude Haiku 4.5

Calculator-style cost example

Estimate
Ticket response usage
$20.005,000 model-assisted tickets per month

Estimated monthly cost

$20.00

Estimated yearly cost

$240.00

Claude Haiku 4.5

Last verified Jun 21, 2026 · Anthropic Claude API pricing

Verified

Formula

monthly model cost = cost per ticket × tickets handled per month

Main cost drivers

  • Knowledge-base context sent with each ticket
  • Number of agent steps and tool calls
  • Escalation, retry, and review rates
  • Generated response length

Ways to reduce cost

  • Retrieve fewer, more relevant support passages
  • Use deterministic rules before invoking a model
  • Measure resolution cost instead of cost per call
  • Escalate uncertain cases rather than retrying repeatedly

Frequently asked questions

Should I budget one model call per ticket?

Only if the workflow truly uses one call. Agentic ticket handling can use classification, retrieval, drafting, verification, and follow-up calls.

How should human review be included?

Track it as a separate operational cost and compare total cost per resolved ticket.

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Related glossary terms

Input tokens

Input tokens are the tokenized units sent to a model, including instructions, user content, conversation history, retrieved context, and tool definitions.

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Requests per day

Requests per day is the number of billable API calls made during a day. TokenMath commonly derives it from requests per active user multiplied by active users.

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Cost per request

Cost per request is the sum of all billable usage generated by one API call, commonly input token cost plus output token cost for a text model.

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