API Cost Calculator

Calculate your AI API costs for GPT-4, Claude, and other LLMs.

Usage Parameters

Current Pricing: Input: $0.01/1K tokens, Output: $0.03/1K tokens

Monthly Estimated Cost

$75.00

$0.0250 per request

📅Daily Cost
$2.50
📆Yearly Cost
$912.50

Cost Breakdown

Input Cost per Request$0.0100
Output Cost per Request$0.0150
Total Tokens per Request1,500

API Cost Calculator Guide

This calculator estimates the cost of sending prompt tokens and receiving output tokens from an AI API. It is useful for pricing prototypes, setting monthly budgets, and comparing whether prompt changes or model changes reduce cost.

Pricing changes over time, and providers may bill inputs, cached inputs, outputs, images, audio, tools, or batch processing differently. Treat the result as a planning estimate unless the page is updated to match the exact provider schedule you use.

How to Use It

  1. Estimate or measure input tokens per request.
  2. Estimate expected output tokens.
  3. Enter average daily request volume.
  4. Check cost per request, then scale it to daily, monthly, and yearly usage.

Cost Formula

Most text API pricing can be modeled with a simple token-based formula.

Estimated Request Cost

Cost = (Input Tokens / 1,000,000 x Input Rate) + (Output Tokens / 1,000,000 x Output Rate)

Where:

  • Input Tokens= Prompt and context tokens sent to the model
  • Output Tokens= Tokens generated by the model
  • Input Rate= Provider price for input tokens
  • Output Rate= Provider price for output tokens

What Often Pushes Costs Up

Long system prompts, repeated retrieved context, verbose JSON output, retries, tool calls, and streaming-heavy workflows can all raise cost faster than expected. In production, the cheapest improvement is often shorter context, better caching, or using a smaller model where quality remains acceptable.

Worked Examples

Cost per Request

Problem:

A workflow sends 3,000 input tokens and gets 800 output tokens.

Solution Steps:

  1. 1Multiply input tokens by the current input rate
  2. 2Multiply output tokens by the current output rate
  3. 3Add both values for the request total

Result:

This gives a planning estimate for one request before daily volume is applied.

Monthly Budgeting

Problem:

A team expects 2,000 requests per day.

Solution Steps:

  1. 1Estimate one-request cost first
  2. 2Multiply by daily request count
  3. 3Multiply the daily total by roughly 30 days for a monthly projection

Result:

This makes it easier to set alerts and spending limits before launch.

Tips & Best Practices

  • Use live token counts from production logs when possible.
  • Keep a separate estimate for retries and failed requests.
  • Measure whether shorter prompts preserve quality before rolling them out.
  • Review official pricing regularly because rates and model names change.

Frequently Asked Questions

Because providers often charge different prices for input and output tokens.
Not unless the calculator specifically models cached input. Cached pricing can lower cost for repeated context.
Yes. A smaller or cheaper model can reduce spend dramatically, but you still need to confirm it meets your quality target.
No. Check the current official pricing page before making budget commitments.

Sources & References

Last updated: 2026-05-20

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Editorial Note

MyCalcBuddy Editorial Team

This page is maintained as an educational calculator reference.

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Formula Source: Standard Mathematical References

by Various

🔄Last reviewed: May 2026
✓Formula checks are based on standard references and internal QA review.