AI Agent Cost Calculator
Estimate per-task cost for AI agents from multi-step reasoning, tool calls, and context accumulation.
Inputs
%
Results
Cost per task ($)
$0.15
Monthly cost ($)
$227.70
≈ 15 movie tickets
LLM cost per task ($)$0.11
Tool cost per task ($)$0.03
Daily cost ($)$7.59
Annual cost ($)$2,770.35
Tokens per task24,000
Daily tokens (millions)1.2
How to Use This Calculator
- Enter Tasks per Day — the number of agent jobs your system executes daily.
- Set Avg Steps per Task (e.g., 5 for simple tasks, 10–15 for complex reasoning chains) and Tokens per Step.
- Enter Tool Calls per Task and Cost per Tool Call to capture external API expenses like web search or code execution.
- Set Input Price and Output Price per 1M tokens from your chosen LLM provider's pricing page.
- Adjust Retry Rate (%) for expected step failures, then review Cost per Task, Monthly Cost, and Daily Tokens to budget your AI operations.
How the result changes with Avg steps per task
| Avg steps per task | Cost per task ($) | Monthly cost ($) |
|---|---|---|
| 11 | $0.45 | $670.23 |
| 36 | $3.47 | $5,199.48 |
| 65 | $10.59 | $15,879.60 |
| 90 | $19.84 | $29,764.35 |
What each input means
- Tasks per day
- Number of agent tasks executed per day.
- Avg steps per task
- Average number of reasoning/action steps the agent takes per task. Simple tasks: 2-3, complex: 8-15.
- Tokens per step
- Base tokens consumed per agent step (input + output before context growth).
- Tool calls per task
- Average number of external tool/API calls per task (web search, code execution, etc.).
- Cost per tool call ($)
- Average cost per external tool call (API fees, compute, etc.).
- Input price per 1M tokens ($)
- LLM input token price. GPT-4o: $2.50, Claude Sonnet: $3.
- Output price per 1M tokens ($)
- LLM output token price. GPT-4o: $10, Claude Sonnet: $15.
- Retry rate (%)
- Percentage of steps that require retry due to failures, adding to cost.
What each result means
- Cost per task ($)
- Total cost per agent task including LLM, tools, and retries.
- LLM cost per task ($)
- Token cost per task (accounts for cumulative context growth across steps).
- Tool cost per task ($)
- External tool/API call cost per task.
- Daily cost ($)
- Total daily agent operating cost.
- Monthly cost ($)
- Projected 30-day agent cost.
- Annual cost ($)
- Projected 365-day agent cost.
- Tokens per task
- Total tokens consumed per task (input + output with context growth).
- Daily tokens (millions)
- Total daily token consumption in millions.
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersTasks per day = 50, Avg steps per task = 5, Tokens per step = 2000, Tool calls per task = 3 = 8 input(s) provided
- Calculate Cost per taskCost per task = (llmCostPerTask + toolCostPerTask) * retryMultiplier0.1518 = $0.152
- Calculate Monthly costMonthly cost = dailyCost * 30227.7 = $227.7
- Calculate LLM cost per taskLLM cost per task = llmInputCostPerTask + llmOutputCostPerTask0.108 = $0.108
- Calculate Tool cost per taskTool cost per task = toolCallsPerTask * toolCallCost0.03 = $0.03
Engine last updated .
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