GPT-4o (Input: $5.00 / Output: $15.00 per 1M)
GPT-4 Turbo (Input: $10.00 / Output: $30.00 per 1M)
GPT-3.5 Turbo (Input: $0.50 / Output: $1.50 per 1M)
Claude 3.5 Sonnet (Input: $3.00 / Output: $15.00 per 1M)
Claude 3 Haiku (Input: $0.25 / Output: $1.25 per 1M)
Claude 3 Opus (Input: $15.00 / Output: $75.00 per 1M)
Llama 3 (Typical Provider Avg: $0.35 per 1M)
Monthly or per session
Prompt length (approx.)
Completion length (approx.)
Default: 1 word ≈ 0.75 tokens
Cost Analysis
Total Tokens:
0
Total Cost:
$0.00
Cost per 1k Requests:
$0.00
Approx. Word Count:
0
function calculateAICost() {
var modelData = document.getElementById("modelPrice").value.split(",");
var inputPricePer1M = parseFloat(modelData[0]);
var outputPricePer1M = parseFloat(modelData[1]);
var requests = parseFloat(document.getElementById("requestCount").value);
var inputTokensPerReq = parseFloat(document.getElementById("avgInput").value);
var outputTokensPerReq = parseFloat(document.getElementById("avgOutput").value);
var ratio = parseFloat(document.getElementById("tokenRatio").value);
if (isNaN(requests) || isNaN(inputTokensPerReq) || isNaN(outputTokensPerReq)) {
alert("Please enter valid numbers for all fields.");
return;
}
var totalInputTokens = requests * inputTokensPerReq;
var totalOutputTokens = requests * outputTokensPerReq;
var totalTokens = totalInputTokens + totalOutputTokens;
var inputCost = (totalInputTokens / 1000000) * inputPricePer1M;
var outputCost = (totalOutputTokens / 1000000) * outputPricePer1M;
var totalCost = inputCost + outputCost;
var costPer1k = (totalCost / requests) * 1000;
var totalWords = totalTokens * ratio;
document.getElementById("totalTokens").innerText = totalTokens.toLocaleString();
document.getElementById("totalCost").innerText = "$" + totalCost.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 4});
document.getElementById("costPer1k").innerText = "$" + costPer1k.toFixed(2);
document.getElementById("totalWords").innerText = Math.round(totalWords).toLocaleString();
document.getElementById("resultArea").style.display = "block";
}
How the AI Token Calculator Works
This AI Calculator is designed to help developers, product managers, and businesses estimate the operational costs of using Large Language Model (LLM) APIs. Unlike standard calculators, AI cost estimation relies on "tokens"—the fundamental units of text that AI models process.
What are Tokens?
Tokens can be thought of as pieces of words. In English, 1,000 tokens are roughly equivalent to 750 words. Models like GPT-4 and Claude charge separately for "Input Tokens" (the text you send in the prompt) and "Output Tokens" (the text the AI generates in response).
Understanding the Formula
The calculation used in this tool follows this logic:
Total Input Cost: (Total Requests × Avg. Input Tokens / 1,000,000) × Model Input Price
Total Output Cost: (Total Requests × Avg. Output Tokens / 1,000,000) × Model Output Price
Total Project Cost: Input Cost + Output Cost
Example Scenario
If you are building a customer support bot using GPT-4o and you expect 5,000 queries per month, with an average prompt of 400 tokens and a response of 200 tokens:
To reduce your AI API bills, consider the following strategies:
Prompt Engineering: Be concise. Reducing the number of tokens in your prompt directly lowers the input cost.
Model Tiering: Use expensive models like GPT-4o for complex reasoning and cheaper models like Llama 3 or GPT-3.5 Turbo for simple classification or summarization tasks.
Caching: If you find yourself sending the same large context repeatedly, use API providers that offer prompt caching to reduce input costs by up to 50%.