{"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":"2026-06-22T17:39:20","modified_gmt":"2026-06-22T17:39:20","slug":"ai-price-performance-index-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/es\/ai-price-performance-index-2026\/","title":{"rendered":"The 2026 AI Price-Performance Index: Which Model Gives You the Most Intelligence per Dollar?"},"content":{"rendered":"<p>AI model pricing in 2026 spans a staggering range \u2014 yet the most expensive model is nowhere near 100\u00d7 smarter than the cheapest. We combined the live pricing in our <a href=\"\/es\/models\/\">AI models database<\/a> with the independent <strong>Artificial Analysis Intelligence Index<\/strong> to answer one question: <strong>which model gives you the most intelligence per dollar?<\/strong> The answer overturns the assumption that you get what you pay for.<\/p>\n<div class=\"convly-tldr\">\n<h3>Conclusiones clave<\/h3>\n<ul>\n<li><strong>114\u00d7 price spread.<\/strong> On a blended-cost basis, frontier API models range from ~$0.18 to ~$20 per million tokens.<\/li>\n<li><strong>Value \u2260 price.<\/strong> The cheapest capable models deliver <strong>30\u201340\u00d7 more intelligence per dollar<\/strong> than the priciest frontier models.<\/li>\n<li><strong>DeepSeek V4-Flash<\/strong> returns roughly <strong>67% of Claude Opus 4.8&#8217;s measured intelligence at ~1.8% of the cost.<\/strong><\/li>\n<li>Paying top dollar buys the <em>last few points<\/em> of capability \u2014 not proportional intelligence.<\/li>\n<li>For most workloads, a mid-tier or open model is the rational default; reserve frontier models for the hardest tasks.<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a39a92ff1791\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Alternar<\/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-6a39a92ff1791\"  aria-label=\"Alternar\" \/><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\/es\/ai-price-performance-index-2026\/#How_we_measured_it\" >How we measured it<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/es\/ai-price-performance-index-2026\/#The_2026_blended-cost_index\" >The 2026 blended-cost index<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/es\/ai-price-performance-index-2026\/#Intelligence_per_dollar_%E2%80%94_the_value_ranking\" >Intelligence per dollar \u2014 the value ranking<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/es\/ai-price-performance-index-2026\/#What_this_means_for_you\" >What this means for you<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/es\/ai-price-performance-index-2026\/#Caveats\" >Caveats<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/es\/ai-price-performance-index-2026\/#Bottom_line\" >Conclusi\u00f3n<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_we_measured_it\"><\/span>How we measured it<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Precios<\/strong> \u2014 live input\/output API prices (per 1M tokens) from the Convly AI models database.<\/li>\n<li><strong>Blended cost<\/strong> \u2014 a 3:1 input-to-output token ratio (typical of real API traffic): <code>blended = (3 \u00d7 input + output) \/ 4<\/code>. This makes models with cheap input but pricey output directly comparable.<\/li>\n<li><strong>Rendimiento<\/strong> \u2014 the independent Artificial Analysis Intelligence Index (a composite across reasoning, coding, math and knowledge), used <em>\u00fanicamente<\/em> where a current score is published for the exact model.<\/li>\n<li><strong>Valor<\/strong> \u2014 Intelligence Index \u00f7 blended cost.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"The_2026_blended-cost_index\"><\/span>The 2026 blended-cost index<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Modelo<\/th>\n<th>Input $\/1M<\/th>\n<th>Output $\/1M<\/th>\n<th>Blended $\/1M<\/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>The spread is the story: <strong>Claude Fable 5 costs 114\u00d7 more per blended token than DeepSeek V4-Flash.<\/strong> Want your own numbers? Try our <a href=\"\/es\/ai-api-cost-calculator\/\">AI API cost calculator<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Intelligence_per_dollar_%E2%80%94_the_value_ranking\"><\/span>Intelligence per dollar \u2014 the value ranking<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Now we divide capability by cost. Using the Artificial Analysis Intelligence Index (higher = more capable) against blended cost, for the models with a published current score:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Modelo<\/th>\n<th>Intelligence Index<\/th>\n<th>Blended $\/1M<\/th>\n<th>Intelligence per $<\/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>The finding is stark: <strong>DeepSeek V4-Flash delivers roughly 37\u00d7 more intelligence per dollar than Claude Opus 4.8<\/strong> \u2014 while still scoring about two-thirds of Opus&#8217;s raw intelligence. The frontier premium is real, but in <em>capability<\/em> terms it is small; in <em>price<\/em> terms it is enormous.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_this_means_for_you\"><\/span>What this means for you<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>The frontier premium buys the last points, not proportional intelligence.<\/strong> You pay 30\u201340\u00d7 more for roughly the top third of capability.<\/li>\n<li><strong>For high-volume production<\/strong> \u2014 chat, classification, extraction, RAG \u2014 a cheap or open model is the rational default.<\/li>\n<li><strong>Reserve frontier models<\/strong> (Opus 4.8, GPT-5.5, Fable 5) for the hardest reasoning and long-horizon agentic work, where the last points genuinely matter.<\/li>\n<li><strong>Self-hosting open weights changes the math entirely<\/strong> \u2014 your cost becomes hardware and electricity, not per-token. See our <a href=\"\/es\/llm-vram-calculator\/\">VRAM calculator<\/a> to check what you can run locally.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Caveats\"><\/span>Caveats<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The Intelligence Index is one composite proxy \u2014 your task may weight coding, long context or multimodality differently, and frontier models lead by more on the hardest agentic tasks. Prices also change, and caching or batch discounts can cut real bills by 50\u201390%. Treat this as a directional value map, not a verdict for every workload.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>Conclusi\u00f3n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In 2026, &#8220;you get what you pay for&#8221; is simply false for AI APIs. The cheapest capable models deliver the vast majority of frontier intelligence at a tiny fraction of the cost. Match the model to the task \u2014 and run your own usage through our <a href=\"\/es\/ai-api-cost-calculator\/\">cost calculator<\/a> antes de comprometerte.<\/p>\n<p><em>Sources: Artificial Analysis Intelligence Index (intelligence scores); Convly AI models database (pricing). Figures current as of June 2026.<\/em><\/p>","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":1247,"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\/es\/wp-json\/wp\/v2\/posts\/1246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/comments?post=1246"}],"version-history":[{"count":0,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts\/1246\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media\/1247"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media?parent=1246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/categories?post=1246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/tags?post=1246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}