AI API Budget & Monthly Cost Calculator
Project monthly and annual AI API costs across OpenAI, Anthropic, Google, and Groq based on your request volume.
Project your monthly AI API spend based on expected usage volume. Compare costs across OpenAI, Anthropic, Google, and Groq models side-by-side.
Usage Parameters
Total API calls per day
System prompt + user message
Expected response length
Compare models:
Cheapest option
Gemini 1.5 Flash
$3.825/mo
Daily token volume
0.80M
tokens processed per day
Most expensive
Claude 3.5 Sonnet
$180.00/mo
| Model | Provider | Per Request | Daily | Monthly | Yearly |
|---|---|---|---|---|---|
| Gemini 1.5 FlashCheapest | $0.000128 | $0.1275 | $3.825 | $46.54 | |
| GPT-4o mini | OpenAI | $0.000255 | $0.2550 | $7.650 | $93.08 |
| GPT-4o | OpenAI | $0.004250 | $4.250 | $127.50 | $1,551.25 |
| Claude 3.5 Sonnet | Anthropic | $0.006000 | $6.000 | $180.00 | $2,190.00 |
⚠️ These are reference cost estimates. Actual pricing varies — always verify current rates at platform.openai.com, console.anthropic.com, aistudio.google.com, or console.groq.com before financial planning.
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How to use the AI API Budget Calculator
?Frequently Asked Questions
What is the AI API Budget & Monthly Cost Calculator?
The AI API Budget Calculator models total monthly and annual cloud inference costs for production AI applications. By inputting your expected daily request volume and average prompt/response sizes, you can compare multi-model pricing side-by-side to optimize your infrastructure budget.
Who is the AI API Budget & Monthly Cost Calculator for?
Designed for engineering leads, startup founders, CTOs, and financial controllers forecasting AI API budgets and evaluating model tier trade-offs.
How to Use the AI API Budget & Monthly Cost Calculator
- Enter your anticipated daily API request volume.
- Set average input tokens per request (system prompt + user input + retrieved context).
- Set average output tokens per request (model response length).
- Select the models you want to compare to view per-request, daily, monthly, and yearly cost projections.
Worked Calculation Example
Frequently Asked Questions
How can I reduce my monthly AI API costs?
Top cost optimization strategies include: 1) Using tiered model routing (lightweight models like GPT-4o-mini or Gemini Flash for simple queries), 2) Prompt compression and caching, 3) Lowering output token lengths, and 4) Implementing semantic response caching.
What is prompt caching and how does it save money?
Providers like Anthropic and OpenAI offer prompt caching discounts (up to 75-90% cheaper) on repeated prompt prefixes longer than 1,024 tokens, such as persistent system instructions or large reference documents.
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