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AI Agent Cost Calculator

Estimate the cost of a multi-step, tool-calling AI agent — accounting for how context compounds across steps.

Agent task shape

Estimated cost

$225.00/month

Per task

$0.0375

Per day

$7.50

Total tokens / task

19,500

Because each step resends the full conversation so far, input tokens compound across steps — 5 steps produced 18,000 total input tokens for this task, not 2,000. Prompt caching on repeated prefixes can cut this significantly.

How this is calculated

Each step's input tokens = all prior steps' output + tool results, since the conversation is resent in full every step. Total task cost sums every step's input and output cost; monthly cost = cost per task × tasks per day × 30.

Pricing is verified against provider pricing pages as of 2026-09-01. AI and cloud pricing changes frequently — confirm the current rate on the provider's own pricing page before budgeting.

Frequently asked questions

Why does an agent cost more than a single API call?

Every step in an agent loop resends the entire conversation so far — prior responses and tool results — as input tokens, because the API is stateless. A 5-step task doesn't cost 5x a single call; it costs more, because later steps carry a longer accumulated history.

What's the biggest lever for reducing agent costs?

Trimming or caching the tool results appended to context — a step that returns a large search result or file contents grows every subsequent step's input cost. Prompt caching on the stable prefix of that growing context is often the single biggest saving.

Should I use a cheaper model for agent loops?

It depends on the task — a cheaper model that needs more steps or retries to complete a task can end up costing more overall than a pricier model that finishes reliably in fewer steps. Measure cost per completed task, not cost per step.

How do I estimate steps per task before building the agent?

Prototype a handful of representative tasks manually or in a test harness and count the actual tool calls used — this is far more reliable than guessing, since step count varies a lot by task complexity.