wzlxp.top builder tools AI agent calculator
Estimate AI agent cost from repeated model calls, tool-call context, retries, and daily task volume. Use it before scaling support agents, research assistants, coding agents, or internal automation workflows.
A task is one completed agent job. Tool overhead is treated as extra input context, and retry rate increases the effective number of model calls.
Pricing checked 2026-05-09. GPT-5.4 mini: input $0.75/1M, cached input $0.075/1M, output $4.5/1M tokens.
Cost insight: the largest cost driver is output tokens. Cutting agent answer tokens by 50% would save about $117 per month.
Estimated planning result only. Prices can change, and provider bills may include taxes, minimums, feature-specific charges, or usage adjustments. Verify production spend in the official provider dashboard.
How to use
Select the generation model your agent will use most often. Start with the default if you only need a first budget range.
Enter average model calls, tokens per call, tool calls, tool overhead, and retry rate for one finished agent job.
Set daily tasks and days per month to estimate cost per task, daily cost, monthly cost, and annual budget.
Agent cost guide
A normal chat calculator prices one request. An agent calculator needs to price the full task loop: model calls, tool context, retries, and task volume.
Average model calls per task are multiplied by input and output tokens per call. Retry rate increases the effective call count.
Tool calls are treated as extra input context because tool results usually come back into the next model call.
Cost per task is multiplied by tasks per day and days per month so the result matches operational agent volume.
Classifies a ticket, looks up account details, drafts a response, and may retry if a tool call fails.
Searches, reads multiple sources, summarizes findings, and uses several model calls before producing a final answer.
Inspects files, proposes edits, runs checks, reacts to failures, and can spend many calls on one completed task.
References and assumptions
This first version estimates token cost for model calls and tool-result context. It does not include external SaaS fees, web search fees, browser automation costs, queue infrastructure, or human review cost.
The calculator does not upload traces or logs. It is meant for early budgeting before you instrument production agents with exact usage data.
FAQ
It estimates the cost of one completed agent task by multiplying model calls, token usage, tool-call overhead, retry rate, and task volume.
An agent may call the model several times, inspect tool results, retry failed steps, and carry more context than a single chat response.
No. It only uses numeric planning inputs in the browser. It does not upload traces, logs, prompts, files, API keys, or customer data.
This first version estimates token overhead from tool calls, not external tool fees. Add separate SaaS or search API fees manually when budgeting production systems.