{"id":1246,"date":"2026-06-22T17:39:20","date_gmt":"2026-06-22T17:39:20","guid":{"rendered":"https:\/\/convly.ai\/ai-price-performance-index-2026\/"},"modified":"2026-08-01T06:46:23","modified_gmt":"2026-08-01T06:46:23","slug":"ai-price-performance-index-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/","title":{"rendered":"\u0645\u0624\u0634\u0631 \u0623\u062f\u0627\u0621 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0644\u0639\u0627\u0645 2026 \u0645\u0646 \u062d\u064a\u062b \u0627\u0644\u0633\u0639\u0631: \u0623\u064a \u0646\u0645\u0648\u0630\u062c \u064a\u0648\u0641\u0651\u0631 \u0644\u0643 \u0623\u0643\u0628\u0631 \u0642\u062f\u0631 \u0645\u0645\u0643\u0646 \u0645\u0646 \u0627\u0644\u0630\u0643\u0627\u0621 \u0645\u0642\u0627\u0628\u0644 \u0643\u0644 \u062f\u0648\u0644\u0627\u0631 \u062a\u0646\u0641\u0642\u0647\u061f"},"content":{"rendered":"<p><!--ppi-hero--><\/p>\n<style>\n.ppi-hero{background:linear-gradient(135deg,#0b1220,#16213e);color:#eef2ff;border-radius:14px;padding:28px 26px;margin:0 0 26px}\n.ppi-eyebrow{font-size:12px;letter-spacing:.14em;text-transform:uppercase;color:#8ea2ff!important;margin:0 0 8px;font-weight:700}\n.ppi-headline{font-size:30px;line-height:1.2;margin:0 0 10px;color:#fff!important;font-weight:800}\n.ppi-sub{font-size:16px;line-height:1.55;color:#c7d2fe!important;margin:0 0 20px;max-width:70ch}\n.ppi-stats{display:flex;flex-wrap:wrap;gap:14px;margin:0}\n.ppi-stat{flex:1 1 170px;background:rgba(255,255,255,.06);border:1px solid rgba(255,255,255,.12);border-radius:10px;padding:14px 16px}\n.ppi-num{display:block;font-size:34px;font-weight:800;color:#7bffb0;line-height:1}\n.ppi-stat.b .ppi-num{color:#ffd08a}.ppi-stat.c .ppi-num{color:#8ec5ff}\n.ppi-lab{display:block;font-size:13px;color:#c7d2fe!important;margin-top:6px;line-height:1.35}\n.ppi-chart{overflow-x:auto;margin:24px 0;background:#f8f9fb;border:1px solid #e6e8ef;border-radius:12px;padding:16px}\n.ppi-chart figcaption{font-size:12px;color:#667788;margin-top:8px;text-align:center}\n.ppi-box{border:1px solid #e6e8ef;border-left:4px solid #4263eb;background:#f8f9fb;border-radius:10px;padding:18px 20px;margin:22px 0}\n.ppi-box h2{margin:0 0 10px;font-size:20px}\n.ppi-box blockquote{margin:10px 0;padding:10px 14px;background:#fff;border:1px solid #e6e8ef;border-radius:8px;font-size:14px;color:#334455}\n@media (max-width:600px){.ppi-headline{font-size:23px}.ppi-num{font-size:28px}}\n<\/style>\n<div class=\"ppi-hero\">\n<p class=\"ppi-eyebrow\">Convly Original Study \u00b7 Updated 2026<\/p>\n<div class=\"ppi-headline\">The Price of Intelligence: a 114\u00d7 cost spread across AI models<\/div>\n<p class=\"ppi-sub\">We cross-referenced live API pricing for 30 leading AI models with the independent Artificial Analysis Intelligence Index to answer one question \u2014 which model gives you the most intelligence per dollar? The answer overturns &#8220;you get what you pay for.&#8221;<\/p>\n<div class=\"ppi-stats\">\n<div class=\"ppi-stat a\"><span class=\"ppi-num\">114\u00d7<\/span><span class=\"ppi-lab\">blended-cost spread \u2014 $0.18 to $20 per 1M tokens<\/span><\/div>\n<div class=\"ppi-stat b\"><span class=\"ppi-num\">37\u00d7<\/span><span class=\"ppi-lab\">more intelligence per dollar: DeepSeek V4-Flash vs Claude Opus 4.8<\/span><\/div>\n<div class=\"ppi-stat c\"><span class=\"ppi-num\">~1.8%<\/span><span class=\"ppi-lab\">of Opus&#8217;s cost buys ~67% of its measured intelligence<\/span><\/div>\n<\/p><\/div>\n<\/div>\n<figure class=\"ppi-chart\">\n<svg viewbox=\"0 0 760 360\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" role=\"img\" aria-label=\"Blended API cost per 1M tokens across nine AI models, ranging from $0.18 to $20 \u2014 a 114x spread\" style=\"width:100%;height:auto;min-width:520px\">\n <text x=\"10\" y=\"22\" font-family=\"system-ui,Arial\" font-size=\"16\" font-weight=\"700\" fill=\"#1a1a2e\">Blended API cost per 1M tokens \u2014 a 114\u00d7 spread (2026)<\/text>\n <g font-family=\"system-ui,Arial\" font-size=\"13\" fill=\"#333\">\n <g><text x=\"160\" y=\"63\" text-anchor=\"end\">\u062f\u064a\u0628 \u0633\u064a\u0643 \u0641\u064a4-\u0641\u0644\u0627\u0634<\/text><rect x=\"170\" y=\"50\" width=\"6\" height=\"20\" rx=\"3\" fill=\"#2f9e44\"\/><text x=\"184\" y=\"64\" font-size=\"12\" font-weight=\"700\" fill=\"#2f9e44\">$0.18<\/text><\/g>\n <g><text x=\"160\" y=\"95\" text-anchor=\"end\">\u062f\u064a\u0628 \u0633\u064a\u0643 \u0641\u064a4-\u0628\u0631\u0648<\/text><rect x=\"170\" y=\"82\" width=\"15\" height=\"20\" rx=\"3\" fill=\"#4263eb\"\/><text x=\"191\" y=\"96\" font-size=\"12\" fill=\"#555\">$0.54<\/text><\/g>\n <g><text x=\"160\" y=\"127\" text-anchor=\"end\">\u0643\u0644\u0627\u0648\u062f \u0647\u0627\u064a\u0643\u0648 4.5<\/text><rect x=\"170\" y=\"114\" width=\"56\" height=\"20\" rx=\"3\" fill=\"#4263eb\"\/><text x=\"232\" y=\"128\" font-size=\"12\" fill=\"#555\">$2.00<\/text><\/g>\n <g><text x=\"160\" y=\"159\" text-anchor=\"end\">\u062c\u0645\u064a\u0646\u064a \u0663.\u0665 \u0641\u0644\u0627\u0634<\/text><rect x=\"170\" y=\"146\" width=\"95\" height=\"20\" rx=\"3\" fill=\"#4263eb\"\/><text x=\"271\" y=\"160\" font-size=\"12\" fill=\"#555\">$3.38<\/text><\/g>\n <g><text x=\"160\" y=\"191\" text-anchor=\"end\">\u062c\u0645\u064a\u0646\u064a \u0663.\u0661 \u0628\u0631\u0648<\/text><rect x=\"170\" y=\"178\" width=\"126\" height=\"20\" rx=\"3\" fill=\"#4263eb\"\/><text x=\"302\" y=\"192\" font-size=\"12\" fill=\"#555\">$4.50<\/text><\/g>\n <g><text x=\"160\" y=\"223\" text-anchor=\"end\">\u0643\u0644\u0627\u0648\u062f \u0633\u0648\u0646\u064a\u062a \u0664.\u0666<\/text><rect x=\"170\" y=\"210\" width=\"168\" height=\"20\" rx=\"3\" fill=\"#4263eb\"\/><text x=\"344\" y=\"224\" font-size=\"12\" fill=\"#555\">$6.00<\/text><\/g>\n <g><text x=\"160\" y=\"255\" text-anchor=\"end\">\u0643\u0644\u0627\u0648\u062f \u0623\u0648\u0628\u0633 \u0664.\u0668<\/text><rect x=\"170\" y=\"242\" width=\"280\" height=\"20\" rx=\"3\" fill=\"#4263eb\"\/><text x=\"456\" y=\"256\" font-size=\"12\" fill=\"#555\">$10.00<\/text><\/g>\n <g><text x=\"160\" y=\"287\" text-anchor=\"end\">\u062c\u064a \u0628\u064a \u062a\u064a-\u0665.\u0665<\/text><rect x=\"170\" y=\"274\" width=\"315\" height=\"20\" rx=\"3\" fill=\"#4263eb\"\/><text x=\"491\" y=\"288\" font-size=\"12\" fill=\"#555\">$11.25<\/text><\/g>\n <g><text x=\"160\" y=\"319\" text-anchor=\"end\">\u0643\u0644\u0627\u0648\u062f \u0641\u0627\u0628\u0644 \u0665<\/text><rect x=\"170\" y=\"306\" width=\"560\" height=\"20\" rx=\"3\" fill=\"#e8590c\"\/><text x=\"700\" y=\"320\" font-size=\"12\" font-weight=\"700\" fill=\"#fff\" text-anchor=\"end\">$20.00<\/text><\/g>\n <\/g>\n<\/svg><figcaption>Blended cost = (3 \u00d7 input + output) \u00f7 4, a 3:1 input-to-output ratio typical of real API traffic. Source: Convly AI models database. Green = best value, orange = most expensive.<\/figcaption><\/figure>\n<p>\u064a\u062a\u0631\u0627\u0648\u062d \u062a\u0633\u0639\u064a\u0631 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u0639\u0627\u0645 2026 \u0636\u0645\u0646 \u0646\u0637\u0627\u0642 \u0648\u0627\u0633\u0639\u064d \u0645\u0630\u0647\u0644 \u2014 \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0641\u0625\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0623\u063a\u0644\u0649 \u062b\u0645\u0646\u064b\u0627 \u0644\u064a\u0633 \u0623\u0630\u0643\u0649 \u0645\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0623\u0631\u062e\u0635 \u0628\u0640 100 \u0636\u0639\u0641 \u0639\u0644\u0649 \u0627\u0644\u0625\u0637\u0644\u0627\u0642. \u0648\u0644\u0642\u062f \u062c\u0645\u0639\u0646\u0627 \u0623\u0633\u0639\u0627\u0631 \u0648\u0627\u062c\u0647\u0627\u062a \u0628\u0631\u0645\u062c\u0629 \u0627\u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a (API) \u0627\u0644\u062d\u064a\u0629 \u0645\u0646 <a href=\"\/ar\/models\/\">\u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a<\/a> \u0642\u0627\u0639\u062f\u062a\u0646\u0627 \u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a Convly <strong>\u0645\u0624\u0634\u0631 \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0644\u0644\u0630\u0643\u0627\u0621<\/strong> \u0644\u0644\u0625\u062c\u0627\u0628\u0629 \u0639\u0646 \u0633\u0624\u0627\u0644 \u0648\u0627\u062d\u062f \u0641\u0642\u0637: <strong>\u0623\u064a \u0646\u0645\u0648\u0630\u062c \u064a\u0648\u0641\u0651\u0631 \u0644\u0643 \u0623\u0643\u0628\u0631 \u0642\u062f\u0631 \u0645\u0645\u0643\u0646 \u0645\u0646 \u0627\u0644\u0630\u0643\u0627\u0621 \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u062f\u0648\u0644\u0627\u0631 \u0627\u0644\u0648\u0627\u062d\u062f\u061f<\/strong> \u0648\u0627\u0644\u0625\u062c\u0627\u0628\u0629 \u062a\u064f\u0642\u0648\u0651\u0636 \u0627\u0644\u0641\u0631\u0636\u064a\u0629 \u0627\u0644\u0642\u0627\u0626\u0644\u0629 \u0628\u0623\u0646\u0643 \u062a\u062d\u0635\u0644 \u0639\u0644\u0649 \u0645\u0627 \u062a\u062f\u0641\u0639 \u0645\u0642\u0627\u0628\u0644\u0647.<\/p>\n<div class=\"convly-tldr\">\n<h3>\u0623\u0628\u0631\u0632 \u0627\u0644\u0646\u0642\u0627\u0637 \u0627\u0644\u0645\u0633\u062a\u0641\u0627\u062f\u0629<\/h3>\n<ul>\n<li><strong>\u0641\u0631\u0642 \u0633\u0639\u0631\u064a \u0628\u0646\u0633\u0628\u0629 114\u00d7.<\/strong> \u0648\u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0623\u0633\u0627\u0633 \u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0645\u062f\u0645\u062c\u0629\u060c \u062a\u062a\u0631\u0627\u0648\u062d \u062a\u0643\u0627\u0644\u064a\u0641 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0648\u0627\u062c\u0647\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u0631\u0627\u0626\u062f\u0629 \u0628\u064a\u0646 \u0646\u062d\u0648 0.18 \u062f\u0648\u0644\u0627\u0631 \u0623\u0645\u0631\u064a\u0643\u064a \u064820 \u062f\u0648\u0644\u0627\u0631\u064b\u0627 \u0623\u0645\u0631\u064a\u0643\u064a\u064b\u0651\u0627 \u0644\u0643\u0644 \u0645\u0644\u064a\u0648\u0646 \u0631\u0645\u0632.<\/li>\n<li><strong>\u0627\u0644\u0642\u064a\u0645\u0629 \u2260 \u0627\u0644\u0633\u0639\u0631.<\/strong> \u062a\u0648\u0641\u0631 \u0623\u0631\u062e\u0635 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0642\u0627\u062f\u0631\u0629 \u0639\u0644\u0649 \u0627\u0644\u0623\u062f\u0627\u0621 <strong>\u0630\u0643\u0627\u0621\u064b \u064a\u0641\u0648\u0642 \u0628\u0640 30\u201340 \u0636\u0639\u0641\u064b\u0627<\/strong> \u0645\u0627 \u062a\u0648\u0641\u0631\u0647 \u0623\u063a\u0644\u0649 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0631\u0627\u0626\u062f\u0629 \u0645\u0646 \u062d\u064a\u062b \u0627\u0644\u062a\u0643\u0644\u0641\u0629.<\/li>\n<li><strong>\u062f\u064a\u0628 \u0633\u064a\u0643 \u0641\u064a4-\u0641\u0644\u0627\u0634<\/strong> \u064a\u062d\u0642\u0651\u0642 <strong>\u062d\u0648\u0627\u0644\u064a 67% \u0645\u0646 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0645\u0642\u0627\u0633 \u0644\u0646\u0645\u0648\u0630\u062c Claude Opus 4.8 \u0628\u062a\u0643\u0644\u0641\u0629 \u062a\u0628\u0644\u063a \u0646\u062d\u0648 1.8% \u0641\u0642\u0637 \u0645\u0646 \u062a\u0643\u0644\u0641\u062a\u0647.<\/strong><\/li>\n<li>\u0625\u0646 \u062f\u0641\u0639 \u0623\u0639\u0644\u0649 \u0633\u0639\u0631 \u064a\u0634\u062a\u0631\u064a \u0644\u0643 <em>\u0627\u0644\u0646\u0642\u0627\u0637 \u0627\u0644\u0642\u0644\u064a\u0644\u0629 \u0627\u0644\u0623\u062e\u064a\u0631\u0629<\/em> \u0645\u0646 \u0627\u0644\u0642\u062f\u0631\u0627\u062a \u2014 \u0648\u0644\u064a\u0633 \u0630\u0643\u0627\u0621\u064b \u0645\u062a\u0646\u0627\u0633\u0628\u064b\u0627.<\/li>\n<li>\u0648\u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0645\u0639\u0638\u0645 \u0645\u0647\u0627\u0645 \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629\u060c \u064a\u064f\u0639\u062f \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0623\u0648 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0641\u062a\u0648\u062d \u0627\u0644\u0645\u0635\u062f\u0631 \u0627\u0644\u062e\u064a\u0627\u0631 \u0627\u0644\u0645\u0646\u0637\u0642\u064a \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u064a\u061b \u0628\u064a\u0646\u0645\u0627 \u064a\u064f\u062d\u062a\u0641\u0638 \u0628\u0627\u0644\u0646\u0648\u0627\u062f\u062c \u0627\u0644\u0631\u0627\u0626\u062f\u0629 \u0644\u0623\u0635\u0639\u0628 \u0627\u0644\u0645\u0647\u0627\u0645 \u0641\u0642\u0637.<\/li>\n<\/ul>\n<\/div>\n<div class=\"convly-tldr ppi-k3-update\">\n<h3>Update \u2014 July 2026: an open model now tops the table<\/h3>\n<p>Since this study went live, Moonshot released <a href=\"\/ar\/kimi-k3-explained-2026\/\">\u0643\u064a\u0645\u064a \u0643\u0663<\/a> (16 July 2026) \u2014 a 2.8-trillion-parameter open-weight mixture-of-experts scoring <strong>57<\/strong> on the Artificial Analysis Intelligence Index, edging past Claude Opus 4.8 (55.7). It is the first open-weight model to outscore a Western frontier flagship, and at $3\/$15 per 1M tokens it returns roughly <strong>1.7\u00d7 the intelligence per dollar of Opus 4.8<\/strong>.<\/p>\n<p>It does not move the headline spread below, though: K3 lands mid-table on value at 6.3 intelligence points per blended dollar. <a href=\"\/ar\/glm-5-2-explained-2026\/\">\u063a\u0644\u0652\u0645 \u0665.\u0662<\/a> still returns about 2.8\u00d7 more capability per dollar, and DeepSeek V4-Flash roughly 30\u00d7 more. The ultra-cheap-Chinese-model era looks to be ending too \u2014 K3 costs about 3\u00d7 its own predecessor. Full analysis: <a href=\"\/ar\/kimi-k3-explained-2026\/\">Kimi K3 explained<\/a> \u00b7 <a href=\"\/ar\/kimi-k3-vs-claude-opus-4-8\/\">K3 vs Opus 4.8<\/a>.<\/p>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a7558af2abdf\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u062a\u0628\u062f\u064a\u0644<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a7558af2abdf\"  aria-label=\"\u062a\u0628\u062f\u064a\u0644\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#How_we_measured_it\" >\u0643\u064a\u0641 \u0642\u0645\u0646\u0627 \u0628\u0642\u064a\u0627\u0633\u0647<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#The_2026_blended-cost_index\" >\u0645\u0624\u0634\u0631 \u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0645\u062f\u0645\u062c\u0629 \u0644\u0639\u0627\u0645 2026<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#Intelligence_per_dollar_%E2%80%94_the_value_ranking\" >\u0627\u0644\u0630\u0643\u0627\u0621 \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u062f\u0648\u0644\u0627\u0631 \u2014 \u0627\u0644\u062a\u0631\u062a\u064a\u0628 \u062d\u0633\u0628 \u0627\u0644\u0642\u064a\u0645\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#What_this_means_for_you\" >\u0645\u0627 \u0627\u0644\u0630\u064a \u064a\u0639\u0646\u064a\u0647 \u0647\u0630\u0627 \u0644\u0643<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#Caveats\" >\u062a\u062d\u0630\u064a\u0631\u0627\u062a<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#Bottom_line\" >\u0627\u0644\u062e\u0644\u0627\u0635\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#Download_the_data_%E2%80%94_free_open_CC-BY-40\" >Download the data \u2014 free &amp; open (CC-BY-4.0)<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/convly.ai\/ar\/ai-price-performance-index-2026\/#Cite_or_republish_this_study\" >Cite or republish this study<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_we_measured_it\"><\/span>\u0643\u064a\u0641 \u0642\u0645\u0646\u0627 \u0628\u0642\u064a\u0627\u0633\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>\u0627\u0644\u0623\u0633\u0639\u0627\u0631<\/strong> \u2014 live input\/output API prices (per 1M tokens) from the Convly <a href=\"https:\/\/convly.ai\/ar\/models\/\">\u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a<\/a>.<\/li>\n<li><strong>\u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0645\u062f\u0645\u062c\u0629<\/strong> \u2014 \u0648\u0628\u0627\u0639\u062a\u0645\u0627\u062f \u0646\u0633\u0628\u0629 \u0631\u0645\u0648\u0632 \u0625\u062f\u062e\u0627\u0644 \u0625\u0644\u0649 \u0625\u062e\u0631\u0627\u062c \u062a\u0633\u0627\u0648\u064a 3:1 (\u0648\u0647\u064a \u0627\u0644\u0646\u0633\u0628\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a\u0629 \u0644\u062d\u0631\u0643\u0629 \u0645\u0631\u0648\u0631 \u0648\u0627\u062c\u0647\u0627\u062a \u0628\u0631\u0645\u062c\u0629 \u0627\u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0644\u0641\u0639\u0644\u064a\u0629): <code>\u0627\u0644\u0645\u062f\u0645\u062c\u0629 = (3 \u00d7 \u0627\u0644\u0625\u062f\u062e\u0627\u0644 + \u0627\u0644\u0625\u062e\u0631\u0627\u062c) \u00f7 4<\/code>\u0648\u0647\u0630\u0627 \u064a\u062c\u0639\u0644 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u064a \u062a\u0645\u062a\u0644\u0643 \u0645\u062f\u062e\u0644\u0627\u062a \u0631\u062e\u064a\u0635\u0629 \u0644\u0643\u0646 \u0645\u062e\u0631\u062c\u0627\u062a\u0647\u0627 \u0628\u0627\u0647\u0638\u0629 \u0627\u0644\u062b\u0645\u0646 \u0642\u0627\u0628\u0644\u0629\u064b \u0644\u0644\u0645\u0642\u0627\u0631\u0646\u0629 \u0645\u0628\u0627\u0634\u0631\u0629\u064b.<\/li>\n<li><strong>\u0627\u0644\u0623\u062f\u0627\u0621<\/strong> \u2014 \u0645\u0624\u0634\u0631 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0645\u0633\u062a\u0642\u0644 \u0645\u0646 \u0634\u0631\u0643\u0629 Artificial Analysis (\u0648\u0647\u0648 \u0645\u0624\u0634\u0631 \u0645\u0631\u0643\u0628 \u064a\u063a\u0637\u064a \u0627\u0644\u062a\u0641\u0643\u064a\u0631 \u0627\u0644\u0645\u0646\u0637\u0642\u064a\u060c \u0648\u0627\u0644\u0628\u0631\u0645\u062c\u0629\u060c \u0648\u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0627\u062a\u060c \u0648\u0627\u0644\u0645\u0639\u0631\u0641\u0629)\u060c \u0648\u064a\u064f\u0633\u062a\u062e\u062f\u0645 <em>\u0641\u0642\u0637<\/em> \u062d\u064a\u062b \u064a\u062a\u0648\u0641\u0631 \u062f\u0631\u062c\u0629 \u062d\u0627\u0644\u064a\u0629 \u0644\u0646\u0641\u0633 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0628\u0627\u0644\u0636\u0628\u0637.<\/li>\n<li><strong>\u0627\u0644\u0642\u064a\u0645\u0629<\/strong> \u2014 \u0645\u0624\u0634\u0631 \u0627\u0644\u0630\u0643\u0627\u0621 \u00f7 \u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0645\u062f\u0645\u062c\u0629.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"The_2026_blended-cost_index\"><\/span>\u0645\u0624\u0634\u0631 \u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0645\u062f\u0645\u062c\u0629 \u0644\u0639\u0627\u0645 2026<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/th>\n<th>\u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0644\u0643\u0644 \u0645\u0644\u064a\u0648\u0646 \u0631\u0645\u0632 (\u0645\u062f\u062e\u0644\u0627\u062a)<\/th>\n<th>\u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0644\u0643\u0644 \u0645\u0644\u064a\u0648\u0646 \u0631\u0645\u0632 (\u0645\u062e\u0631\u062c\u0627\u062a)<\/th>\n<th>\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u064f\u062f\u0645\u062c \u0628\u0627\u0644\u062f\u0648\u0644\u0627\u0631 \u0644\u0643\u0644 \u0645\u0644\u064a\u0648\u0646 \u062f\u0648\u0644\u0627\u0631<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u062f\u064a\u0628 \u0633\u064a\u0643 \u0641\u064a4-\u0641\u0644\u0627\u0634<\/td>\n<td>$0.14<\/td>\n<td>$0.28<\/td>\n<td><strong>$0.18<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u062f\u064a\u0628 \u0633\u064a\u0643 \u0641\u064a4-\u0628\u0631\u0648<\/td>\n<td>$0.435<\/td>\n<td>$0.87<\/td>\n<td><strong>$0.54<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0644\u0627\u0648\u062f \u0647\u0627\u064a\u0643\u0648 4.5<\/td>\n<td>$1.00<\/td>\n<td>$5.00<\/td>\n<td><strong>$2.00<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u062c\u0645\u064a\u0646\u064a \u0663.\u0665 \u0641\u0644\u0627\u0634<\/td>\n<td>$1.50<\/td>\n<td>$9.00<\/td>\n<td><strong>$3.38<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u062c\u0645\u064a\u0646\u064a \u0663.\u0661 \u0628\u0631\u0648<\/td>\n<td>$2.00<\/td>\n<td>$12.00<\/td>\n<td><strong>$4.50<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0644\u0627\u0648\u062f \u0633\u0648\u0646\u064a\u062a \u0664.\u0666<\/td>\n<td>$3.00<\/td>\n<td>$15.00<\/td>\n<td><strong>$6.00<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0644\u0627\u0648\u062f \u0623\u0648\u0628\u0633 \u0664.\u0668<\/td>\n<td>$5.00<\/td>\n<td>$25.00<\/td>\n<td><strong>$10.00<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u062c\u064a \u0628\u064a \u062a\u064a-\u0665.\u0665<\/td>\n<td>$5.00<\/td>\n<td>$30.00<\/td>\n<td><strong>$11.25<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0644\u0627\u0648\u062f \u0641\u0627\u0628\u0644 \u0665<\/td>\n<td>$10.00<\/td>\n<td>$50.00<\/td>\n<td><strong>$20.00<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0627\u0644\u0641\u0631\u0642 \u0647\u0648 \u0627\u0644\u0642\u0635\u0629 \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629: <strong>Claude Fable 5 costs 114\u00d7 more per blended token than DeepSeek V4-Flash.<\/strong> \u0647\u0644 \u062a\u0631\u063a\u0628 \u0641\u064a \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0623\u0631\u0642\u0627\u0645\u0643 \u0627\u0644\u062e\u0627\u0635\u0629\u061f \u062c\u0631\u0651\u0628 <a href=\"\/ar\/ai-api-cost-calculator\/\">\u062d\u0627\u0633\u0628\u0629 \u062a\u0643\u0644\u0641\u0629 \u0648\u0627\u062c\u0647\u0627\u062a \u0628\u0631\u0645\u062c\u0629 \u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a (API)<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Intelligence_per_dollar_%E2%80%94_the_value_ranking\"><\/span>\u0627\u0644\u0630\u0643\u0627\u0621 \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u062f\u0648\u0644\u0627\u0631 \u2014 \u0627\u0644\u062a\u0631\u062a\u064a\u0628 \u062d\u0633\u0628 \u0627\u0644\u0642\u064a\u0645\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0644\u0622\u0646 \u0646\u0642\u0633\u0645 \u0627\u0644\u0642\u062f\u0631\u0629 \u0639\u0644\u0649 \u0627\u0644\u062a\u0643\u0644\u0641\u0629. \u0648\u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0624\u0634\u0631 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0645\u0646 \u0634\u0631\u0643\u0629 Artificial Analysis (\u0643\u0644\u0645\u0627 \u0627\u0631\u062a\u0641\u0639\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0632\u0627\u062f\u062a \u0627\u0644\u0642\u062f\u0631\u0629) \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0645\u062f\u0645\u062c\u0629\u060c \u0648\u0630\u0644\u0643 \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u064a \u062a\u062a\u0648\u0641\u0631 \u0644\u0647\u0627 \u062f\u0631\u062c\u0629 \u062d\u0627\u0644\u064a\u0629 \u0645\u0646\u0634\u0648\u0631\u0629:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/th>\n<th>\u0645\u0624\u0634\u0631 \u0627\u0644\u0630\u0643\u0627\u0621<\/th>\n<th>\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u064f\u062f\u0645\u062c \u0628\u0627\u0644\u062f\u0648\u0644\u0627\u0631 \u0644\u0643\u0644 \u0645\u0644\u064a\u0648\u0646 \u062f\u0648\u0644\u0627\u0631<\/th>\n<th>\u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0630\u0643\u0627\u0621 \u0644\u0643\u0644 \u062f\u0648\u0644\u0627\u0631<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u062f\u064a\u0628 \u0633\u064a\u0643 \u0641\u064a4-\u0641\u0644\u0627\u0634<\/td>\n<td>37.4<\/td>\n<td>$0.18<\/td>\n<td><strong>\u2248 \u0662\u0660\u0668<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0644\u0627\u0648\u062f \u0623\u0648\u0628\u0633 \u0664.\u0668<\/td>\n<td>55.7<\/td>\n<td>$10.00<\/td>\n<td><strong>\u2248 \u0665\u066b\u0666<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u062c\u064a \u0628\u064a \u062a\u064a-\u0665.\u0665<\/td>\n<td>54.8<\/td>\n<td>$11.25<\/td>\n<td><strong>\u2248 \u0664\u066b\u0669<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0648\u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u0648\u0627\u0636\u062d\u0629 \u062c\u062f\u064b\u0651\u0627: <strong>\u064a\u0642\u062f\u0651\u0645 \u0646\u0645\u0648\u0630\u062c DeepSeek V4-Flash \u0630\u0643\u0627\u0621\u064b \u064a\u0641\u0648\u0642 \u0646\u0645\u0648\u0630\u062c Claude Opus 4.8 \u0628\u0645\u0627 \u064a\u0642\u0627\u0631\u0628 \u0663\u0667 \u0636\u0639\u0641\u064b\u0627 \u0644\u0643\u0644 \u062f\u0648\u0644\u0627\u0631<\/strong> \u2014 \u0645\u0639 \u062a\u062d\u0642\u064a\u0642\u0647 \u0645\u0627 \u064a\u0642\u0627\u0631\u0628 \u062b\u0644\u062b\u064a \u0627\u0644\u0642\u062f\u0631\u0629 \u0627\u0644\u0630\u0643\u0627\u0626\u064a\u0629 \u0627\u0644\u062e\u0627\u0645 \u0644\u0646\u0645\u0648\u0630\u062c Opus. \u0625\u0646 \u00ab\u0639\u0644\u0627\u0648\u0629 \u0627\u0644\u062d\u062f\u0648\u062f \u0627\u0644\u0623\u0645\u0627\u0645\u064a\u0629\u00bb \u062d\u0642\u064a\u0642\u064a\u0629\u064c \u0628\u0627\u0644\u0641\u0639\u0644\u060c \u0644\u0643\u0646\u0647\u0627 \u0635\u063a\u064a\u0631\u0629\u064c \u0645\u0646 \u062d\u064a\u062b <em>\u0627\u0644\u0642\u062f\u0631\u0629<\/em> \u0648\u0644\u0643\u0646\u0647\u0627 \u0647\u0627\u0626\u0644\u0629\u064c \u0645\u0646 \u062d\u064a\u062b <em>\u0627\u0644\u0633\u0639\u0631<\/em> .<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_this_means_for_you\"><\/span>\u0645\u0627 \u0627\u0644\u0630\u064a \u064a\u0639\u0646\u064a\u0647 \u0647\u0630\u0627 \u0644\u0643<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>\u0625\u0646 \u0639\u0644\u0627\u0648\u0629 \u0627\u0644\u062d\u062f\u0648\u062f \u0627\u0644\u0623\u0645\u0627\u0645\u064a\u0629 \u062a\u0634\u062a\u0631\u064a \u0627\u0644\u0646\u0642\u0627\u0637 \u0627\u0644\u0623\u062e\u064a\u0631\u0629 \u0641\u0642\u0637\u060c \u0648\u0644\u064a\u0633 \u0632\u064a\u0627\u062f\u0629\u064b \u0645\u062a\u0646\u0627\u0633\u0628\u0629\u064b \u0641\u064a \u0627\u0644\u0630\u0643\u0627\u0621.<\/strong> \u0623\u0646\u062a \u062a\u062f\u0641\u0639 \u0623\u0643\u062b\u0631 \u0628\u0646\u0633\u0628\u0629 \u0663\u0660\u2013\u0664\u0660 \u0636\u0639\u0641\u064b\u0627 \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u062c\u0632\u0621 \u0627\u0644\u0639\u0644\u0648\u064a \u062a\u0642\u0631\u064a\u0628\u064b\u0627 \u0645\u0646 \u0627\u0644\u0642\u062f\u0631\u0629 (\u0623\u064a \u0646\u062d\u0648 \u0627\u0644\u062b\u0644\u062b \u0627\u0644\u0623\u0639\u0644\u0649).<\/li>\n<li><strong>\u0623\u0645\u0627 \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0625\u0646\u062a\u0627\u062c\u064a \u0639\u0627\u0644\u064a \u0627\u0644\u062d\u062c\u0645<\/strong> \u2014 \u0645\u062b\u0644 \u0627\u0644\u062f\u0631\u062f\u0634\u0629\u060c \u0623\u0648 \u0627\u0644\u062a\u0635\u0646\u064a\u0641\u060c \u0623\u0648 \u0627\u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c\u060c \u0623\u0648 \u0627\u0633\u062a\u0631\u062c\u0627\u0639 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u0639\u0632\u064e\u0651\u0632\u0629 (RAG) \u2014 \u0641\u0625\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0631\u062e\u064a\u0635 \u0623\u0648 \u0627\u0644\u0645\u0641\u062a\u0648\u062d \u0627\u0644\u0645\u0635\u062f\u0631 \u064a\u064f\u0639\u062f \u0627\u0644\u062e\u064a\u0627\u0631 \u0627\u0644\u0645\u0646\u0637\u0642\u064a \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u064a.<\/li>\n<li><strong>\u0627\u062d\u062c\u0632 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062d\u062f\u0648\u062f\u064a\u0629 \u0627\u0644\u0623\u0645\u0627\u0645\u064a\u0629<\/strong> (\u0645\u062b\u0644 Opus 4.8 \u0648GPT-5.5 \u0648Fable 5) \u0644\u0623\u0635\u0639\u0628 \u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u0641\u0643\u064a\u0631 \u0627\u0644\u0645\u0646\u0637\u0642\u064a \u0648\u0623\u0637\u0648\u0644 \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u064a\u0629 (agentic)\u060c \u062d\u064a\u062b \u062a\u0643\u062a\u0633\u0628 \u062a\u0644\u0643 \u0627\u0644\u0646\u0642\u0627\u0637 \u0627\u0644\u0623\u062e\u064a\u0631\u0629 \u0623\u0647\u0645\u064a\u0629\u064b \u062d\u0642\u064a\u0642\u064a\u0629\u064b \u0641\u0639\u0644\u064a\u0629\u064b.<\/li>\n<li><strong>\u0625\u0646 \u0627\u0633\u062a\u0636\u0627\u0641\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0645\u0641\u062a\u0648\u062d\u0629 \u0627\u0644\u0645\u0635\u062f\u0631 \u0630\u0627\u062a \u0627\u0644\u0623\u0648\u0632\u0627\u0646 \u0627\u0644\u0645\u0646\u0634\u0648\u0631\u0629 \u0645\u062d\u0644\u064a\u064b\u0651\u0627 \u062a\u063a\u064a\u0651\u0631 \u0627\u0644\u0645\u0639\u0627\u062f\u0644\u0629 \u062a\u0645\u0627\u0645\u064b\u0627<\/strong> \u2014 \u0641\u062a\u0635\u0628\u062d \u062a\u0643\u0644\u0641\u062a\u0643 \u0647\u064a \u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0623\u062c\u0647\u0632\u0629 \u0648\u0627\u0644\u0637\u0627\u0642\u0629 \u0627\u0644\u0643\u0647\u0631\u0628\u0627\u0626\u064a\u0629 \u0641\u0642\u0637\u060c \u0648\u0644\u064a\u0633 \u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0644\u0643\u0644 \u0631\u0645\u0632. \u0631\u0627\u062c\u0639 <a href=\"\/ar\/llm-vram-calculator\/\">\u062d\u0627\u0633\u0628\u0629 \u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 (VRAM)<\/a> \u0644\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u064a \u064a\u0645\u0643\u0646\u0643 \u062a\u0634\u063a\u064a\u0644\u0647\u0627 \u0645\u062d\u0644\u064a\u064b\u0651\u0627.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Caveats\"><\/span>\u062a\u062d\u0630\u064a\u0631\u0627\u062a<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u0624\u0634\u0631 \u0627\u0644\u0630\u0643\u0627\u0621 \u0647\u0648 \u0645\u062c\u0631\u062f \u0645\u0624\u0634\u0631 \u0645\u0631\u0643\u0628 \u062a\u0642\u062f\u064a\u0631\u064a \u0648\u0627\u062d\u062f\u061b \u0641\u0642\u062f \u062a\u062e\u062a\u0644\u0641 \u0623\u0648\u0644\u0648\u064a\u0627\u062a \u0645\u0647\u0645\u062a\u0643 \u0641\u064a\u0645\u0627 \u064a\u062a\u0639\u0644\u0651\u0642 \u0628\u0627\u0644\u0628\u0631\u0645\u062c\u0629 \u0623\u0648 \u0627\u0644\u0633\u064a\u0627\u0642 \u0627\u0644\u0637\u0648\u064a\u0644 \u0623\u0648 \u0627\u0644\u062a\u0639\u062f\u062f\u064a\u0629 \u0627\u0644\u0646\u0645\u0637\u064a\u0629 (multimodality)\u060c \u0643\u0645\u0627 \u0623\u0646 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062d\u062f\u0648\u062f\u064a\u0629 \u0627\u0644\u0623\u0645\u0627\u0645\u064a\u0629 \u062a\u062a\u0642\u062f\u0651\u0645 \u0628\u0634\u0643\u0644 \u0623\u0643\u0628\u0631 \u0641\u064a \u0623\u0635\u0639\u0628 \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u064a\u0629. \u0643\u0645\u0627 \u0623\u0646 \u0627\u0644\u0623\u0633\u0639\u0627\u0631 \u062a\u062a\u063a\u064a\u0631 \u0628\u0627\u0633\u062a\u0645\u0631\u0627\u0631\u060c \u0648\u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u062e\u0641\u0636 \u0627\u0644\u062e\u0635\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u0642\u062f\u0645\u0629 \u0639\u0628\u0631 \u0627\u0644\u062a\u062e\u0632\u064a\u0646 \u0627\u0644\u0645\u0624\u0642\u062a (caching) \u0623\u0648 \u0627\u0644\u062f\u0641\u0639 \u0627\u0644\u062c\u0645\u0627\u0639\u064a (batch discounts) \u0627\u0644\u0641\u0648\u0627\u062a\u064a\u0631 \u0627\u0644\u0641\u0639\u0644\u064a\u0629 \u0628\u0646\u0633\u0628\u0629 \u062a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 \u0665\u0660\u066a \u0648\u0669\u0660\u066a. \u0644\u0630\u0627\u060c \u0639\u0627\u0645\u0644 \u0647\u0630\u0647 \u0627\u0644\u0623\u0631\u0642\u0627\u0645 \u0643\u062e\u0631\u064a\u0637\u0629 \u062a\u0648\u062c\u064a\u0647\u064a\u0629 \u062a\u0642\u0631\u064a\u0628\u064a\u0629\u060c \u0648\u0644\u064a\u0633\u062a \u062d\u0643\u0645\u064b\u0627 \u0646\u0647\u0627\u0626\u064a\u064b\u0651\u0627 \u064a\u0646\u0637\u0628\u0642 \u0639\u0644\u0649 \u0643\u0644 \u0646\u0648\u0639 \u0645\u0646 \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0645\u0647\u0627\u0645.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>\u0627\u0644\u062e\u0644\u0627\u0635\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0641\u064a \u0639\u0627\u0645 \u0662\u0660\u0662\u0666\u060c \u0639\u0628\u0627\u0631\u0629 \u00ab\u062a\u062d\u0635\u0644 \u0639\u0644\u0649 \u0645\u0627 \u062a\u062f\u0641\u0639 \u0645\u0642\u0627\u0628\u0644\u0647\u00bb \u0644\u0645 \u062a\u0639\u062f \u0635\u062d\u064a\u062d\u0629 \u0625\u0637\u0644\u0627\u0642\u064b\u0627 \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0648\u0627\u062c\u0647\u0627\u062a \u0628\u0631\u0645\u062c\u0629 \u0627\u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a. \u0641\u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0623\u0631\u062e\u0635 \u0627\u0644\u062a\u064a \u062a\u0645\u062a\u0644\u0643 \u0642\u062f\u0631\u0627\u062a \u0643\u0627\u0641\u064a\u0629 \u062a\u0642\u062f\u0651\u0645 \u0627\u0644\u063a\u0627\u0644\u0628\u064a\u0629 \u0627\u0644\u0639\u0638\u0645\u0649 \u0645\u0646 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u062d\u062f\u0651\u064a \u0627\u0644\u0623\u0645\u0627\u0645\u064a \u0628\u062a\u0643\u0644\u0641\u0629 \u0644\u0627 \u062a\u062a\u062c\u0627\u0648\u0632 \u062c\u0632\u0621\u064b\u0627 \u0636\u0626\u064a\u0644\u064b\u0627 \u062c\u062f\u064b\u0651\u0627 \u0645\u0646 \u0627\u0644\u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0643\u0644\u064a\u0629. \u0644\u0630\u0627\u060c \u0627\u062e\u062a\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0623\u0646\u0633\u0628 \u0644\u0645\u0647\u0645\u062a\u0643 \u2014 \u0648\u062c\u0631\u0651\u0628 \u062d\u0633\u0627\u0628 \u062a\u0643\u0627\u0644\u064a\u0641 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0643 \u0627\u0644\u0641\u0639\u0644\u064a \u0639\u0628\u0631 <a href=\"\/ar\/ai-api-cost-calculator\/\">\u062d\u0627\u0633\u0628\u0629 \u0627\u0644\u062a\u0643\u0644\u0641\u0629<\/a> \u0642\u0628\u0644 \u0623\u0646 \u062a\u0644\u062a\u0632\u0645.<\/p>\n<p><em>\u0627\u0644\u0645\u0635\u0627\u062f\u0631: \u0645\u0624\u0634\u0631 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0645\u0646 \u0634\u0631\u0643\u0629 Artificial Analysis (\u0627\u0644\u062f\u0631\u062c\u0627\u062a \u0627\u0644\u0630\u0643\u0627\u0626\u064a\u0629)\u061b \u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0646\u0645\u0627\u0630\u062c Convly AI (\u0627\u0644\u0623\u0633\u0639\u0627\u0631). \u0627\u0644\u0623\u0631\u0642\u0627\u0645 \u0633\u0627\u0631\u064a\u0629 \u0627\u0639\u062a\u0628\u0627\u0631\u064b\u0627 \u0645\u0646 \u064a\u0648\u0646\u064a\u0648 \u0662\u0660\u0662\u0666.<\/em><\/p>\n<div class=\"ppi-box\">\n<h2><span class=\"ez-toc-section\" id=\"Download_the_data_%E2%80%94_free_open_CC-BY-40\"><\/span>Download the data \u2014 free &amp; open (CC-BY-4.0)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The full 30-model dataset (prices, specs, intelligence scores and value ratios) is open for anyone to analyse or republish with attribution:<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/Sakd99\/ai-models-database\" rel=\"noopener\" target=\"_blank\">CSV + JSON on GitHub<\/a><\/li>\n<li><a href=\"https:\/\/huggingface.co\/datasets\/sakd99\/ai-models-database\" rel=\"noopener\" target=\"_blank\">Dataset on Hugging Face<\/a><\/li>\n<\/ul>\n<\/div>\n<div class=\"ppi-box\">\n<h2><span class=\"ez-toc-section\" id=\"Cite_or_republish_this_study\"><\/span>Cite or republish this study<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Free to cite, quote or embed with a link back. Suggested credit:<\/p>\n<blockquote><p>&#8220;The AI Price\/Performance Index 2026,&#8221; Convly \u2014 https:\/\/convly.ai\/ai-price-performance-index-2026\/<\/p><\/blockquote>\n<p><strong>Headline finding for reference:<\/strong> a 114\u00d7 blended-cost spread separates the cheapest capable AI model ($0.18\/1M tokens) from the most expensive ($20\/1M), yet the best-value model returns roughly <strong>37\u00d7 the intelligence-per-dollar<\/strong> of the priciest frontier model while still scoring about two-thirds of its raw intelligence. Journalists and researchers: the underlying data is downloadable above, and we&#8217;re happy to share the full methodology or a high-resolution chart on request.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>We combined live API pricing with the Artificial Analysis Intelligence Index to rank AI models by intelligence per dollar. The price spread is 114\u00d7 \u2014 but value tells a very different story.<\/p>","protected":false},"author":1,"featured_media":1806,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[247],"tags":[787,790,421,654,788,789],"class_list":["post-1246","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-benchmarks","tag-ai-pricing","tag-claude","tag-deepseek","tag-gpt-5-5","tag-llm-cost","tag-price-performance"],"_links":{"self":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/1246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/comments?post=1246"}],"version-history":[{"count":5,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/1246\/revisions"}],"predecessor-version":[{"id":1592,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/1246\/revisions\/1592"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media\/1806"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media?parent=1246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/categories?post=1246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/tags?post=1246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}