{"id":639,"date":"2026-06-04T23:33:56","date_gmt":"2026-06-04T21:33:56","guid":{"rendered":"https:\/\/gpt-ai.tips\/?page_id=639"},"modified":"2026-06-04T23:33:57","modified_gmt":"2026-06-04T21:33:57","slug":"ai-prompt-cost-calculator","status":"publish","type":"page","link":"https:\/\/gpt-ai.tips\/?page_id=639","title":{"rendered":"AI Prompt Cost Calculator"},"content":{"rendered":"\n<div class=\"ai-tool wp-block-group\" id=\"ai-prompt-cost-calc-n14x\">\n  <div class=\"ai-tool__header\">\n    <h2 class=\"ai-tool__title\">AI Prompt Cost Calculator<\/h2>\n    <p class=\"ai-tool__lead\">\n      Estimate the cost of a single AI prompt or batch of prompts using input tokens, output tokens, and model pricing.\n    <\/p>\n  <\/div>\n\n  <form class=\"ai-tool__form\" id=\"ai-prompt-form-n14x\" novalidate>\n    <div class=\"ai-tool__grid3\">\n\n      <div class=\"ai-tool__field\">\n        <label class=\"ai-tool__label\" for=\"prompt-count-n14x\">Number of<br>prompts<\/label>\n        <input class=\"ai-tool__input\" id=\"prompt-count-n14x\" type=\"number\" min=\"1\" step=\"1\" value=\"100\" inputmode=\"numeric\">\n        <div class=\"ai-tool__hint\">How many prompts or API calls.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__field\">\n        <label class=\"ai-tool__label\" for=\"prompt-input-n14x\">Input tokens<br>per prompt<\/label>\n        <input class=\"ai-tool__input\" id=\"prompt-input-n14x\" type=\"number\" min=\"1\" step=\"10\" value=\"1000\" inputmode=\"numeric\">\n        <div class=\"ai-tool__hint\">Prompt, context, system instructions, history.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__field\">\n        <label class=\"ai-tool__label\" for=\"prompt-output-n14x\">Output tokens<br>per prompt<\/label>\n        <input class=\"ai-tool__input\" id=\"prompt-output-n14x\" type=\"number\" min=\"1\" step=\"10\" value=\"500\" inputmode=\"numeric\">\n        <div class=\"ai-tool__hint\">Expected model response length.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__field\">\n        <label class=\"ai-tool__label\" for=\"prompt-input-price-n14x\">Input price<br>($ \/ 1M tokens)<\/label>\n        <input class=\"ai-tool__input\" id=\"prompt-input-price-n14x\" type=\"number\" min=\"0\" step=\"0.01\" value=\"0.15\" inputmode=\"decimal\">\n        <div class=\"ai-tool__hint\">Your model&#8217;s input token price.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__field\">\n        <label class=\"ai-tool__label\" for=\"prompt-output-price-n14x\">Output price<br>($ \/ 1M tokens)<\/label>\n        <input class=\"ai-tool__input\" id=\"prompt-output-price-n14x\" type=\"number\" min=\"0\" step=\"0.01\" value=\"0.60\" inputmode=\"decimal\">\n        <div class=\"ai-tool__hint\">Your model&#8217;s output token price.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__field\">\n        <label class=\"ai-tool__label\" for=\"prompt-overhead-n14x\">Extra overhead<br>(%)<\/label>\n        <input class=\"ai-tool__input\" id=\"prompt-overhead-n14x\" type=\"number\" min=\"0\" max=\"500\" step=\"1\" value=\"10\" inputmode=\"numeric\">\n        <div class=\"ai-tool__hint\">Retries, tools, hidden context, or longer responses.<\/div>\n      <\/div>\n\n    <\/div>\n\n    <div class=\"ai-tool__actions\">\n      <button type=\"button\" class=\"wp-element-button ai-tool__btn\" id=\"prompt-calc-btn-n14x\">Calculate<\/button>\n      <button type=\"button\" class=\"wp-element-button ai-tool__btn ai-tool__btn--ghost\" id=\"prompt-reset-btn-n14x\">Reset<\/button>\n      <div class=\"ai-tool__error\" id=\"prompt-error-n14x\"><\/div>\n    <\/div>\n  <\/form>\n\n  <div class=\"ai-tool__result\" id=\"prompt-result-n14x\" hidden>\n    <h3 class=\"ai-tool__subtitle\">Result<\/h3>\n\n    <div class=\"ai-tool__cards\">\n      <div class=\"ai-tool__card\">\n        <div class=\"ai-tool__metric-label\">Cost per prompt<\/div>\n        <div class=\"ai-tool__metric-value\" id=\"prompt-one-output-n14x\">\u2014<\/div>\n        <div class=\"ai-tool__metric-sub\">Estimated cost of one prompt-response pair.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__card\">\n        <div class=\"ai-tool__metric-label\">Total batch cost<\/div>\n        <div class=\"ai-tool__metric-value\" id=\"prompt-total-output-n14x\">\u2014<\/div>\n        <div class=\"ai-tool__metric-sub\">Cost for all prompts.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__card\">\n        <div class=\"ai-tool__metric-label\">Total tokens<\/div>\n        <div class=\"ai-tool__metric-value\" id=\"prompt-tokens-output-n14x\">\u2014<\/div>\n        <div class=\"ai-tool__metric-sub\">Input + output tokens including overhead.<\/div>\n      <\/div>\n\n      <div class=\"ai-tool__card\">\n        <div class=\"ai-tool__metric-label\">Cost per 1,000 prompts<\/div>\n        <div class=\"ai-tool__metric-value\" id=\"prompt-thousand-output-n14x\">\u2014<\/div>\n        <div class=\"ai-tool__metric-sub\">Useful for scaling estimates.<\/div>\n      <\/div>\n    <\/div>\n\n    <p class=\"ai-tool__note\">\n      Approximate estimate only. Real prompt costs depend on model pricing, tokenizer, context length, system prompts, tool calls, retries, caching, and output length.\n    <\/p>\n  <\/div>\n\n  <details class=\"ai-tool__details\">\n    <summary class=\"ai-tool__summary\">How we calculate<\/summary>\n    <div class=\"ai-tool__details-body\">\n      <ul class=\"ai-tool__list\">\n        <li>Input cost = input tokens \u00f7 1,000,000 \u00d7 input price.<\/li>\n        <li>Output cost = output tokens \u00f7 1,000,000 \u00d7 output price.<\/li>\n        <li>Overhead increases token cost for real-world usage.<\/li>\n        <li>Total batch cost = cost per prompt \u00d7 number of prompts.<\/li>\n      <\/ul>\n    <\/div>\n  <\/details>\n<\/div>\n\n<style>\n.ai-tool{border:1px solid rgba(0,0,0,.12);border-radius:12px;padding:16px;}\n.ai-tool__header{margin-bottom:12px;}\n.ai-tool__title{margin:0 0 8px;}\n.ai-tool__lead{margin:0;opacity:.9;}\n.ai-tool__form{margin-top:12px;}\n.ai-tool__grid3{display:grid;grid-template-columns:1fr;gap:16px;}\n@media (min-width:860px){.ai-tool__grid3{grid-template-columns:1fr 1fr 1fr;}}\n.ai-tool__field{display:flex;flex-direction:column;gap:6px;}\n.ai-tool__label{font-weight:600;}\n.ai-tool__input{width:100%;height:44px;padding:0 12px;border:1px solid rgba(0,0,0,.20);border-radius:10px;background:#fff;box-sizing:border-box;font:inherit;}\n.ai-tool__hint{font-size:.92em;opacity:.78;min-height:38px;}\n.ai-tool__actions{display:flex;flex-wrap:wrap;gap:10px;align-items:center;margin-top:16px;}\n.ai-tool__btn{padding:10px 22px;}\n.ai-tool__btn--ghost{background:transparent!important;border:1px solid rgba(0,0,0,.20)!important;}\n.ai-tool__btn--ghost:hover,.ai-tool__btn--ghost:focus{background:rgba(0,0,0,.06)!important;border-color:rgba(0,0,0,.35)!important;}\n.ai-tool__error{min-height:1.2em;font-weight:600;flex:1 1 240px;}\n.ai-tool__result{margin-top:18px;}\n.ai-tool__subtitle{margin:0 0 10px;}\n.ai-tool__cards{display:grid;gap:10px;grid-template-columns:1fr;}\n@media (min-width:860px){.ai-tool__cards{grid-template-columns:1fr 1fr;}}\n.ai-tool__card{border:1px solid rgba(0,0,0,.12);border-radius:12px;padding:12px;}\n.ai-tool__metric-label{opacity:.85;font-weight:600;}\n.ai-tool__metric-value{font-size:1.7em;font-weight:800;margin-top:6px;line-height:1.1;}\n.ai-tool__metric-sub{opacity:.85;margin-top:6px;}\n.ai-tool__note{margin-top:12px;opacity:.9;}\n.ai-tool__details{margin-top:16px;}\n.ai-tool__summary{cursor:pointer;font-weight:700;}\n.ai-tool__details-body{margin-top:10px;}\n.ai-tool__list{margin:0;padding-left:18px;}\n<\/style>\n\n<script>\n(function(){\n  const S = \"n14x\";\n  const el = (id) => document.getElementById(id + \"-\" + S);\n\n  const countEl = el(\"prompt-count\");\n  const inputEl = el(\"prompt-input\");\n  const outputEl = el(\"prompt-output\");\n  const inputPriceEl = el(\"prompt-input-price\");\n  const outputPriceEl = el(\"prompt-output-price\");\n  const overheadEl = el(\"prompt-overhead\");\n\n  const calcBtn = el(\"prompt-calc-btn\");\n  const resetBtn = el(\"prompt-reset-btn\");\n  const errorEl = el(\"prompt-error\");\n  const resultEl = el(\"prompt-result\");\n\n  const oneOutput = el(\"prompt-one-output\");\n  const totalOutput = el(\"prompt-total-output\");\n  const tokensOutput = el(\"prompt-tokens-output\");\n  const thousandOutput = el(\"prompt-thousand-output\");\n\n  function setError(msg){ errorEl.textContent = msg || \"\"; }\n\n  function money(x){\n    return \"$\" + x.toLocaleString(undefined,{minimumFractionDigits:4,maximumFractionDigits:4});\n  }\n\n  function money2(x){\n    return \"$\" + x.toLocaleString(undefined,{minimumFractionDigits:2,maximumFractionDigits:2});\n  }\n\n  function compact(x){\n    return x.toLocaleString(undefined,{maximumFractionDigits:0});\n  }\n\n  function calculate(){\n    setError(\"\");\n\n    const count = Number(countEl.value);\n    const input = Number(inputEl.value);\n    const output = Number(outputEl.value);\n    const inputPrice = Number(inputPriceEl.value);\n    const outputPrice = Number(outputPriceEl.value);\n    const overhead = Number(overheadEl.value) \/ 100;\n\n    if(\n      !Number.isFinite(count) || count <= 0 ||\n      !Number.isFinite(input) || input <= 0 ||\n      !Number.isFinite(output) || output <= 0 ||\n      !Number.isFinite(inputPrice) || inputPrice < 0 ||\n      !Number.isFinite(outputPrice) || outputPrice < 0 ||\n      !Number.isFinite(overhead) || overhead < 0\n    ){\n      setError(\"Please enter valid values.\");\n      resultEl.hidden = true;\n      return;\n    }\n\n    const inputCostOne = (input \/ 1000000) * inputPrice;\n    const outputCostOne = (output \/ 1000000) * outputPrice;\n    const costOne = (inputCostOne + outputCostOne) * (1 + overhead);\n\n    const totalCost = costOne * count;\n    const totalTokens = (input + output) * count * (1 + overhead);\n    const costThousand = costOne * 1000;\n\n    oneOutput.textContent = money(costOne);\n    totalOutput.textContent = money2(totalCost);\n    tokensOutput.textContent = compact(totalTokens);\n    thousandOutput.textContent = money2(costThousand);\n\n    resultEl.hidden = false;\n  }\n\n  function reset(){\n    setError(\"\");\n    countEl.value = \"100\";\n    inputEl.value = \"1000\";\n    outputEl.value = \"500\";\n    inputPriceEl.value = \"0.15\";\n    outputPriceEl.value = \"0.60\";\n    overheadEl.value = \"10\";\n    resultEl.hidden = true;\n  }\n\n  calcBtn.addEventListener(\"click\", calculate);\n  resetBtn.addEventListener(\"click\", reset);\n})();\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>AI Prompt Cost Calculator Estimate the cost of a single AI prompt or batch of prompts using input tokens, output tokens, and model pricing. Number ofprompts How many prompts or&hellip;<\/p>\n","protected":false},"author":757,"featured_media":0,"parent":601,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=\/wp\/v2\/pages\/639"}],"collection":[{"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=\/wp\/v2\/users\/757"}],"replies":[{"embeddable":true,"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=639"}],"version-history":[{"count":1,"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=\/wp\/v2\/pages\/639\/revisions"}],"predecessor-version":[{"id":640,"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=\/wp\/v2\/pages\/639\/revisions\/640"}],"up":[{"embeddable":true,"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=\/wp\/v2\/pages\/601"}],"wp:attachment":[{"href":"https:\/\/gpt-ai.tips\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=639"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}