{"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\/de\/ai-price-performance-index-2026\/","title":{"rendered":"Der KI-Preis-Leistungs-Index 2026: Welches Modell liefert die meiste Intelligenz pro Dollar?"},"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\">DeepSeek V4-Flash<\/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\">DeepSeek V4-Pro<\/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\">Claude Haiku 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\">Gemini 3.5 Flash<\/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\">Gemini 3.1 Pro<\/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\">Claude Sonnet 4.6<\/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\">Claude Opus 4.8<\/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\">GPT-5.5<\/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\">Claude Fable 5<\/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>Die Preise f\u00fcr KI-Modelle im Jahr 2026 umfassen eine beeindruckende Spanne \u2013 doch das teuerste Modell ist keineswegs ann\u00e4hernd 100-mal intelligenter als das g\u00fcnstigste. Wir haben die aktuellen Preise aus unserer <a href=\"\/de\/models\/\">Datenbank f\u00fcr KI-Modelle<\/a> mit dem unabh\u00e4ngigen <strong>Artificial Analysis Intelligence Index<\/strong> zusammengef\u00fchrt, um eine einzige Frage zu beantworten: <strong>Welches Modell liefert Ihnen die meiste Intelligenz pro Dollar?<\/strong> Die Antwort widerlegt die Annahme, dass man f\u00fcr mehr Geld automatisch mehr erh\u00e4lt.<\/p>\n<div class=\"convly-tldr\">\n<h3>Wichtigste Erkenntnisse<\/h3>\n<ul>\n<li><strong>114-fache Preisspanne.<\/strong> Auf Basis der Durchschnittskosten liegen die Preise f\u00fcr f\u00fchrende API-Modelle bei etwa 0,18 bis 20 US-Dollar pro Million Tokens.<\/li>\n<li><strong>Wert \u2260 Preis.<\/strong> Die g\u00fcnstigsten leistungsf\u00e4higen Modelle liefern <strong>30\u201340-mal mehr Intelligenz pro Dollar<\/strong> als die teuersten Spitzenmodelle.<\/li>\n<li><strong>DeepSeek V4-Flash<\/strong> liefert etwa <strong>67 % der gemessenen Intelligenz von Claude Opus 4.8 bei rund 1,8 % der Kosten.<\/strong><\/li>\n<li>F\u00fcr den h\u00f6chsten Preis erwirbt man lediglich <em>die letzten wenigen Prozentpunkte<\/em> an Leistungsf\u00e4higkeit \u2013 nicht jedoch eine proportionale Steigerung der Intelligenz.<\/li>\n<li>F\u00fcr die meisten Anwendungsf\u00e4lle ist ein Modell der Mittelklasse oder ein Open-Source-Modell die rationale Standardwahl; Spitzenmodelle sollten nur f\u00fcr die anspruchsvollsten Aufgaben eingesetzt werden.<\/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=\"\/de\/kimi-k3-explained-2026\/\">Kimi K3<\/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=\"\/de\/glm-5-2-explained-2026\/\">GLM 5.2<\/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=\"\/de\/kimi-k3-explained-2026\/\">Kimi K3 explained<\/a> \u00b7 <a href=\"\/de\/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-6a7557c1eb570\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Umschalten<\/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-6a7557c1eb570\"  aria-label=\"Umschalten\" \/><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\/de\/ai-price-performance-index-2026\/#How_we_measured_it\" >So haben wir gemessen<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/de\/ai-price-performance-index-2026\/#The_2026_blended-cost_index\" >Der durchschnittliche Kostenindex 2026<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/de\/ai-price-performance-index-2026\/#Intelligence_per_dollar_%E2%80%94_the_value_ranking\" >Intelligenz pro Dollar \u2013 das Wert-Ranking<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/de\/ai-price-performance-index-2026\/#What_this_means_for_you\" >Was das f\u00fcr Sie bedeutet<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/de\/ai-price-performance-index-2026\/#Caveats\" >Einschr\u00e4nkungen<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/de\/ai-price-performance-index-2026\/#Bottom_line\" >Fazit<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/de\/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\/de\/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>So haben wir gemessen<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Preismodelle<\/strong> \u2014 live input\/output API prices (per 1M tokens) from the Convly <a href=\"https:\/\/convly.ai\/de\/models\/\">Datenbank f\u00fcr KI-Modelle<\/a>.<\/li>\n<li><strong>Durchschnittlicher Kostenpreis<\/strong> \u2013 ein Verh\u00e4ltnis von 3:1 zwischen Eingabe- und Ausgabetokens (typisch f\u00fcr echten API-Verkehr): <code>Durchschnitt = (3 \u00d7 Eingabe + Ausgabe) \u00f7 4<\/code>. Dadurch werden Modelle mit g\u00fcnstiger Eingabe, aber teurer Ausgabe direkt vergleichbar.<\/li>\n<li><strong>Leistung<\/strong> \u2014 der unabh\u00e4ngige Artificial-Analysis-Intelligence-Index (eine Zusammensetzung aus Denkverm\u00f6gen, Programmierung, Mathematik und Wissen), verwendet <em>nur<\/em> wobei f\u00fcr das genaue Modell aktuell ein Wert ver\u00f6ffentlicht ist.<\/li>\n<li><strong>Wert<\/strong> \u2014 Intelligence-Index \u00f7 durchschnittliche Kosten.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"The_2026_blended-cost_index\"><\/span>Der durchschnittliche Kostenindex 2026<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Modell<\/th>\n<th>Eingabe $\/1 Mio.<\/th>\n<th>Ausgabe $\/1 Mio.<\/th>\n<th>Gewichteter Preis pro Million US-Dollar<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>DeepSeek V4-Flash<\/td>\n<td>$0.14<\/td>\n<td>$0.28<\/td>\n<td><strong>$0.18<\/strong><\/td>\n<\/tr>\n<tr>\n<td>DeepSeek V4-Pro<\/td>\n<td>$0.435<\/td>\n<td>$0.87<\/td>\n<td><strong>$0.54<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Claude Haiku 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>Gemini 3.5 Flash<\/td>\n<td>$1.50<\/td>\n<td>$9.00<\/td>\n<td><strong>$3.38<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Gemini 3.1 Pro<\/td>\n<td>$2.00<\/td>\n<td>$12.00<\/td>\n<td><strong>$4.50<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Claude Sonnet 4.6<\/td>\n<td>$3.00<\/td>\n<td>$15.00<\/td>\n<td><strong>$6.00<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Claude Opus 4.8<\/td>\n<td>$5.00<\/td>\n<td>$25.00<\/td>\n<td><strong>$10.00<\/strong><\/td>\n<\/tr>\n<tr>\n<td>GPT-5.5<\/td>\n<td>$5.00<\/td>\n<td>$30.00<\/td>\n<td><strong>$11.25<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Claude Fable 5<\/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>Die Spannweite ist entscheidend: <strong>Claude Fable 5 costs 114\u00d7 more per blended token than DeepSeek V4-Flash.<\/strong> M\u00f6chten Sie eigene Berechnungen durchf\u00fchren? Probieren Sie unseren <a href=\"\/de\/ai-api-cost-calculator\/\">KI-API-Kostenrechner<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Intelligence_per_dollar_%E2%80%94_the_value_ranking\"><\/span>Intelligenz pro Dollar \u2013 das Wert-Ranking<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Nun teilen wir die Leistungsf\u00e4higkeit durch die Kosten. Dazu verwenden wir den Artificial-Analysis-Intelligence-Index (h\u00f6her = leistungsf\u00e4higer) im Verh\u00e4ltnis zu den durchschnittlichen Kosten f\u00fcr die Modelle, f\u00fcr die ein aktueller Wert ver\u00f6ffentlicht ist:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Modell<\/th>\n<th>Intelligence-Index<\/th>\n<th>Gewichteter Preis pro Million US-Dollar<\/th>\n<th>Intelligenz pro Dollar<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>DeepSeek V4-Flash<\/td>\n<td>37.4<\/td>\n<td>$0.18<\/td>\n<td><strong>\u2248 208<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Claude Opus 4.8<\/td>\n<td>55.7<\/td>\n<td>$10.00<\/td>\n<td><strong>\u2248 5,6<\/strong><\/td>\n<\/tr>\n<tr>\n<td>GPT-5.5<\/td>\n<td>54.8<\/td>\n<td>$11.25<\/td>\n<td><strong>\u2248 4,9<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Das Ergebnis ist deutlich: <strong>DeepSeek V4-Flash liefert etwa 37-mal mehr Intelligenz pro Dollar als Claude Opus 4.8<\/strong> \u2014 und erzielt dabei immer noch rund zwei Drittel der Rohintelligenz von Opus. Die \u201eFrontier-Pr\u00e4mie\u201c ist real, doch in Bezug auf die <em>Leistungsf\u00e4higkeit<\/em> ist sie gering; in Bezug auf den <em>Preis<\/em> ist sie enorm.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_this_means_for_you\"><\/span>Was das f\u00fcr Sie bedeutet<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Die Frontier-Pr\u00e4mie erkauft lediglich die letzten Punkte \u2013 nicht eine proportionale Steigerung der Intelligenz.<\/strong> Sie zahlen das 30- bis 40-Fache f\u00fcr etwa die obersten Drittel der Leistungsf\u00e4higkeit.<\/li>\n<li><strong>F\u00fcr hochvolumige Produktionsanwendungen<\/strong> \u2014 etwa Chat, Klassifizierung, Extraktion oder RAG \u2014 ist ein g\u00fcnstiges oder offenes Modell die rationale Standardwahl.<\/li>\n<li><strong>Frontier-Modelle<\/strong> (Opus 4.8, GPT-5.5, Fable 5) sollten hingegen f\u00fcr die anspruchsvollsten Denkaufgaben und langfristigen agentischen Anwendungen reserviert werden, bei denen diese letzten Punkte tats\u00e4chlich entscheidend sind.<\/li>\n<li><strong>Das Selbsthosting von Open-Weights-Modellen ver\u00e4ndert die Rechnung vollst\u00e4ndig<\/strong> \u2014 Ihre Kosten bestehen dann ausschlie\u00dflich aus Hardware und Strom, nicht mehr pro Token. Nutzen Sie unseren <a href=\"\/de\/llm-vram-calculator\/\">VRAM-Rechner<\/a> , um zu pr\u00fcfen, welche Modelle lokal auf Ihrem System lauff\u00e4hig sind.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Caveats\"><\/span>Einschr\u00e4nkungen<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Der Intelligence-Index ist nur eine zusammengesetzte N\u00e4herung; Ihre konkrete Aufgabe k\u00f6nnte Programmierung, lange Kontexte oder Multimodalit\u00e4t anders gewichten, und bei den schwierigsten agentischen Aufgaben liegen Frontier-Modelle st\u00e4rker vorne. Zudem \u00e4ndern sich Preise kontinuierlich, und durch Caching oder Batch-Rabatte k\u00f6nnen die tats\u00e4chlichen Kosten um 50\u201390 % sinken. Betrachten Sie diese Werte daher als grobe Orientierungshilfe \u2013 nicht als endg\u00fcltiges Urteil f\u00fcr jede einzelne Arbeitslast.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>Fazit<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Im Jahr 2026 gilt der Spruch \u201eWas man bezahlt, bekommt man\u201c f\u00fcr AI-APIs einfach nicht mehr. Die g\u00fcnstigsten leistungsf\u00e4higen Modelle liefern den Gro\u00dfteil der Spitzenintelligenz zu einem Bruchteil der Kosten. W\u00e4hlen Sie das Modell passend zur Aufgabe \u2013 und berechnen Sie Ihre individuelle Nutzung mit unserem <a href=\"\/de\/ai-api-cost-calculator\/\">Kostenrechner<\/a> bevor Sie sich festlegen.<\/p>\n<p><em>Quellen: Artificial-Analysis-Intelligence-Index (Intelligenzwerte); Convly-AI-Modelldatenbank (Preise). Angaben g\u00fcltig ab Juni 2026.<\/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\/de\/wp-json\/wp\/v2\/posts\/1246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/comments?post=1246"}],"version-history":[{"count":5,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/posts\/1246\/revisions"}],"predecessor-version":[{"id":1592,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/posts\/1246\/revisions\/1592"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/media\/1806"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/media?parent=1246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/categories?post=1246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/tags?post=1246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}