Cloud Computing & AI Tech

AI Token Cost Calculator — OpenAI & Anthropic API Pricing

Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).

Estimate LLM API spend from token volume and per-1K pricing. Planning estimates only — verify with production tools and vendor pricing where applicable.

Inputs

1100000
1100000
0.0150
0.01100

Smart analysis

Recommendations

Tailored to your live inputs and result—guidance only, not professional advice.

  • Interpret

    Treat this as a planning estimate

    Primary result: Total API cost = $6,000.00. Re-run with optimistic and pessimistic inputs to understand the range—not just a single point.

Scenario studio

Compare A vs B

Capture two sets of inputs on this device, then see which outcome wins. Share either scenario with a link.

Scenario A

Adjust inputs, then capture this slot.

Scenario B

Adjust inputs, then capture this slot.

Plain-English guide

Terms & how it works

Confused by a field? Read the short definitions here while you use the tool.

  • Input tokens (thousands)

    The “Input tokens (thousands)” value used in this tool’s formula. Adjust it to see results update live.

  • Output tokens (thousands)

    The “Output tokens (thousands)” value used in this tool’s formula. Adjust it to see results update live.

  • Input $/1K tokens

    The “Input $/1K tokens” value used in this tool’s formula. Adjust it to see results update live.

  • Output $/1K tokens

    The “Output $/1K tokens” value used in this tool’s formula. Adjust it to see results update live.

How this calculator works

Estimate LLM API spend from token volume and per-1K pricing. Planning estimates only — verify with production tools and vendor pricing where applicable. Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate). Example: 1M input + 200K output at $3/$15 per 1K → ~$6,000.

Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).

Example: 1M input + 200K output at $3/$15 per 1K → ~$6,000.

When to use this AI Token Cost Estimator

Common use cases

  • Estimate LLM API spend from token volume and per-1K pricing.
  • Sanity-check with this case: 1M input + 200K output at $3/$15 per 1K → ~$6,000.
  • The relationship is: Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).

Localized examples

  • Cloud Computing & AI Tech: the example on this page uses the same formula as the widget.

What you get

  • Fields: Input tokens (thousands), Output tokens (thousands), Input $/1K tokens, Output $/1K tokens
  • Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).
  • Example on the page: 1M input + 200K output at $3/$15 per 1K → ~$6,000.

How to Calculate AI Token Cost Estimator Step-by-Step

  1. 1Enter Input tokens (thousands), Output tokens (thousands), Input $/1K tokens, then the remaining fields. Use the values you have, not a catalog average, unless that is all you know.
  2. 2Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).
  3. 3Worked case: 1M input + 200K output at $3/$15 per 1K → ~$6,000.
  4. 4Compare the result to last month’s invoice or a vendor calculator before you commit capacity.

Governing formula

Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).

1M input + 200K output at $3/$15 per 1K → ~$6,000.

Example: set Input tokens (thousands) = 1,000, Output tokens (thousands) = 200, Input $/1K tokens = 3, then read the result.

Variable definitions

  • inputTokens

    Input tokens (thousands)

    The “Input tokens (thousands)” field. Default 1000; typical range 1–100000.

  • outputTokens

    Output tokens (thousands)

    The “Output tokens (thousands)” field. Default 200; typical range 1–100000.

  • inputRatePer1k

    Input $/1K tokens

    The “Input $/1K tokens” field. Default 3; typical range 0.01–50.

  • outputRatePer1k

    Output $/1K tokens

    The “Output $/1K tokens” field. Default 15; typical range 0.01–100.

  • Closed-form math (Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).) misses idle time, egress, packet loss, and reserved capacity on the real bill.
  • Nothing here is uploaded for the calculation itself.

Frequently Asked Questions

Cost = (input tokens ÷ 1000 × input rate) + (output tokens ÷ 1000 × output rate).

Cloud Computing & AI Tech

Get a note when we add a planner

Occasional email when something new is worth opening. We never share your address. Unsubscribe anytime.

Community

Reviews & Ratings

See what others think about this tool, then leave your own rating to help improve CalculioHub.

4.8

out of 5.0

4 reviews

Leave a review

Your rating

Aisha K.

Mar 12, 2026

Clean layout and the results update instantly. Exactly what I needed for a quick planning check.

Daniel R.

Feb 28, 2026

Very usable on mobile. Would love a save/export option later, but the math feels solid.

Priya S.

Feb 3, 2026

The FAQ section answered my questions before I even had to search. Smooth dark mode too.

Marcus L.

Jan 19, 2026

Simple inputs, clear outputs. This replaced three bookmarks I used to juggle.

Improve this tool

Suggestion Box

Share an idea, report a bug, or send general feedback for AI Token Cost Estimator. Your input helps shape what we build next.