AI Agent Cost Estimator

Model production AI-agent cost per run and per month with editable token pricing, embedding refresh, retrieval overhead, and fixed infrastructure.

When to use this tool

Forecasting monthly cost before launching a RAG assistant into production.
Comparing provider pricing scenarios before committing to a model stack.
Explaining AI feature budget assumptions to founders, finance, or procurement.

How it works

Set average input and output tokens per run plus expected monthly run volume.
Enter pricing per one million tokens for input, output, and embedding refresh.
Add retrieval and fixed infrastructure costs for your production baseline.
Review cost per run, monthly total, and lean/base/stress scenario ranges.

Privacy: This tool runs entirely in your browser. Your input is not sent to our servers.

Assumptions

Input tokens per runAverage prompt + retrieval context tokens for one run.Output tokens per runAverage completion length for one run.Runs per monthTotal production requests in a typical month.Input price per 1M tokens (USD)Output price per 1M tokens (USD)Embedding tokens per monthDocument refresh, indexing, and periodic backfill volume.Embedding price per 1M tokens (USD)Retrieval overhead per month (USD)Vector DB queries, cache misses, and retrieval middleware.Fixed infra per month (USD)Workers, queueing, observability, and baseline hosting.

Cost per run (effective)

$0.04

Total monthly cost

$762.48

LLM monthly (in + out)

$61.70

Embedding monthly

$0.78

Input cost per run

$0.00

Output cost per run

$0.00

Scenario range

Lean assumes lower volume and tighter token discipline. Stress assumes higher traffic, larger contexts, and more retrieval pressure.

Scenario	Monthly total	Effective cost/run
Lean	$669.26	$0.05
Base	$762.48	$0.04
Stress	$961.01	$0.04

See the full breakdown in What RAG in production actually costs, then compare implementation patterns in Brief AI Agent.

Need help productionizing your model stack? Explore Custom AI Applications and browse Case Studies.

Frequently asked questions

Does this estimator include vector database and hosting costs?

Yes. Retrieval overhead and fixed infrastructure fields are separate so you can model vector DB, cache, workers, logging, and monitoring explicitly.

Are provider rates kept up to date automatically?

No. You should paste current prices from your provider documentation. The tool is a transparent calculator, not a live pricing feed.

Can I use this for non-RAG AI features too?

Yes. Set embedding and retrieval values to zero if your flow has no retrieval layer, then model pure prompt-completion workloads.