Agent Cost Calculator
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LLM workload planner

LLM cost calculator

See model, retry and operational cost in the same scenario before you commit a budget.

LLM Cost Calculator

Estimate LLM monthly spend and unit economics from the model, token volume and agent behavior.

Workload
Tasks completed without needing a rerun
Model usage
Source-linked public list pricing; update before planning spend
Agent behavior
Extra requests after failures or incomplete outputs
Traces, logs, evaluation and retention allowance
Optional escalation or quality-review allowance
Visible uncertainty around your chosen assumptions
RAG & tools
Third-party APIs, browser or search services
Embeddings, vector reads and storage allowance

Estimated monthly cost

$0

Planning range: —

↘ Model your drivers
$0.000Cost / request
$0.000Cost / successful task
—Cost / 100 users

Cost breakdown (monthly)

Model tokens$0
Tools & RAG$0
Observability$0
Human review$0
Retries$0
Top driver: model tokens

Try caching stable context to reduce repeated input cost.

⌁ How the estimate works

Monthly cost combines model tokens, tools, RAG, observability, human review and retry behavior from your editable assumptions.

monthly = model + tools + RAG + observability + human review + retries

▣ Sources & assumptions

Rate records are source-linked and versioned. Always check the provider page before final budgeting.

OpenAI pricing ↗Gemini pricing ↗Methodology →

? FAQ

Why can an invoice differ? Contracts, taxes, regional pricing, tool metering and usage behavior can change the final bill.

Reconcile an invoice →

Use unit economics for model decisions

A model comparison is more useful when you measure cost per successful task, latency and quality together. A lower token price can cost more in the final system if it creates more retries, longer outputs or more human review.

Frequently asked questions

Does API list pricing equal my monthly cost?

No. List pricing is one input. Your bill can also reflect output length, cache behavior, retries, tool calls, storage, regional or contract terms, taxes and provider-specific metering.

Why estimate cost per successful task?

Requests that fail, retry, or need manual recovery still consume resources. Cost per successful task connects technical usage to the outcome your product actually delivers.

Can I use custom pricing?

Yes. Select Custom rates in the calculator and enter your own input and output price per million tokens. This is useful for negotiated or provider-specific terms.