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Use-case cost estimate

How Much Does an AI Chatbot Cost?

This example models one language-model response per conversation. Production chatbots often add conversation history, retrieval, moderation, retries, and observability.

Default workload assumptions

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

Input tokens per conversation
1,000
Output tokens per conversation
300
Conversations per month
1,000
Example model
GPT-4.1 mini

Calculator-style cost example

Estimate
Chat completion usage
$0.881,000 conversations per month

Estimated monthly cost

$0.88

Estimated yearly cost

$10.56

GPT-4.1 mini

Last verified Jun 21, 2026 · OpenAI model pricing

Verified

Formula

monthly cost = ((input tokens ÷ 1M × input rate) + (output tokens ÷ 1M × output rate)) × conversations

Main cost drivers

  • Conversation history included on later turns
  • Response length and retry frequency
  • Retrieved context and tool definitions
  • Active conversations rather than registered users

Ways to reduce cost

  • Summarize or trim old conversation history
  • Cap response length where the product permits
  • Route simple tasks to a lower-cost evaluated model
  • Cache stable prompt prefixes when eligible

Frequently asked questions

Does this include every message in a conversation?

No. The example treats one conversation as one model request. Multiply by average turns or use the calculator when a conversation contains several calls.

Does it include hosting and vector search?

No. The displayed provider estimate covers the listed model usage only.

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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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