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Agent and automation budgets

AI Agent Cost Estimator

Estimate monthly LLM API costs for AI agents that plan, reason, call tools, inspect results, and retry steps before returning a final answer.

Use the AI Token Cost Calculator

Who This Calculator Is For

This page is for developers, founders, and automation teams who need to budget an agent before launch. Agent cost is different from chat cost because one user task can trigger several model calls, tool calls, planning steps, and follow-up checks.

Key Cost Drivers

  • Tasks per day or per month.
  • Average model calls per task.
  • Input tokens from instructions, tool results, state, and memory.
  • Output tokens from reasoning summaries, plans, and final responses.
  • Cached input tokens for repeated system instructions or workflow context.

How To Estimate Monthly Agent Cost

Monthly model calls = Monthly tasks x Average model calls per task
Monthly API cost = Monthly model calls x Average cost per model call

The most important estimate is calls per task. A simple classification agent may use one call. A research, planning, or workflow automation agent may use many calls because it reads tool output, decides the next step, and then checks the result.

Example Scenario

Imagine an internal operations agent that handles 2,000 tasks per month. If a typical task uses 5 model calls, the system makes about 10,000 monthly model calls. Planning prompts, tool results, and intermediate summaries can make input tokens larger than a simple chatbot request.

How To Reduce Agent Cost

  • Use smaller models for routing, classification, and simple validation steps.
  • Limit tool output passed back into the model.
  • Cache repeated agent instructions where supported.
  • Set clear stopping rules so agents do not loop through unnecessary calls.

Pricing Data and Limitations

This page explains the usage model, not fixed provider prices. Use the main calculator to estimate costs with the current pricing data maintained in this project. Actual agent billing may vary by provider, model, tool usage pattern, account settings, and any provider-side discounts.