{"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\/it\/ai-price-performance-index-2026\/","title":{"rendered":"Indice 2026 prezzo-prestazioni dell'IA: quale modello offre la massima intelligenza per dollaro speso?"},"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>I prezzi dei modelli di IA nel 2026 coprono un intervallo straordinariamente ampio \u2014 tuttavia il modello pi\u00f9 costoso non \u00e8 affatto 100 volte pi\u00f9 intelligente di quello meno costoso. Abbiamo combinato i prezzi in tempo reale presenti nel nostro <a href=\"\/it\/models\/\">Database di modelli di intelligenza artificiale<\/a> con l'indipendente <strong>Indice di Intelligenza Artificial Analysis<\/strong> per rispondere a una sola domanda: <strong>quale modello ti offre la massima intelligenza per dollaro speso?<\/strong> La risposta smentisce l'assunto secondo cui \u00absi ottiene ci\u00f2 per cui si paga\u00bb.<\/p>\n<div class=\"convly-tldr\">\n<h3>Punti chiave<\/h3>\n<ul>\n<li><strong>Differenza di prezzo pari a 114\u00d7.<\/strong> Su base di costo combinato, i modelli API di ultima generazione variano da circa 0,18 $ a circa 20 $ per milione di token.<\/li>\n<li><strong>Valore \u2260 prezzo.<\/strong> I modelli pi\u00f9 economici ma comunque performanti offrono <strong>da 30\u00d7 a 40\u00d7 pi\u00f9 intelligenza per dollaro speso<\/strong> rispetto ai modelli di ultima generazione pi\u00f9 costosi.<\/li>\n<li><strong>DeepSeek V4-Flash<\/strong> restituisce circa <strong>il 67% dell'intelligenza misurata di Claude Opus 4.8 al costo di circa l'1,8%.<\/strong><\/li>\n<li>Pagare il prezzo pi\u00f9 alto permette di ottenere solo gli <em>ultimi punti<\/em> di capacit\u00e0 \u2014 non un'intelligenza proporzionalmente maggiore.<\/li>\n<li>Per la maggior parte dei carichi di lavoro, un modello di fascia media o un modello open source rappresenta la scelta razionale predefinita; riserva i modelli di ultima generazione per i compiti pi\u00f9 impegnativi.<\/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=\"\/it\/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=\"\/it\/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=\"\/it\/kimi-k3-explained-2026\/\">Kimi K3 explained<\/a> \u00b7 <a href=\"\/it\/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-6a7557c1eb289\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Attiva\/Disattiva<\/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-6a7557c1eb289\"  aria-label=\"Attiva\/Disattiva\" \/><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\/it\/ai-price-performance-index-2026\/#How_we_measured_it\" >Come lo abbiamo misurato<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/it\/ai-price-performance-index-2026\/#The_2026_blended-cost_index\" >Indice 2026 del costo combinato<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/it\/ai-price-performance-index-2026\/#Intelligence_per_dollar_%E2%80%94_the_value_ranking\" >Intelligenza per dollaro \u2014 classifica del valore<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/it\/ai-price-performance-index-2026\/#What_this_means_for_you\" >Cosa significa questo per te<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/it\/ai-price-performance-index-2026\/#Caveats\" >Avvertenze<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/it\/ai-price-performance-index-2026\/#Bottom_line\" >Conclusione<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/it\/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\/it\/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>Come lo abbiamo misurato<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Prezzi<\/strong> \u2014 live input\/output API prices (per 1M tokens) from the Convly <a href=\"https:\/\/convly.ai\/it\/models\/\">Database di modelli di intelligenza artificiale<\/a>.<\/li>\n<li><strong>Costo combinato<\/strong> \u2014 rapporto input\/output di token pari a 3:1 (tipico del traffico reale delle API): <code>costo combinato = (3 \u00d7 input + output) \/ 4<\/code>. Ci\u00f2 rende direttamente confrontabili modelli con input economici ma output costosi.<\/li>\n<li><strong>Prestazioni<\/strong> \u2014 l'Indice di Intelligenza Artificial Analysis (un indice composito che valuta ragionamento, programmazione, matematica e conoscenza), utilizzato <em>solo<\/em> laddove sia disponibile un punteggio corrente per il modello esatto.<\/li>\n<li><strong>Valore<\/strong> \u2014 Indice di Intelligenza \u00f7 costo combinato.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"The_2026_blended-cost_index\"><\/span>Indice 2026 del costo combinato<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Modello<\/th>\n<th>Input $\/1 milione<\/th>\n<th>Output $\/1 milione<\/th>\n<th>Costo combinato ($\/1 milione)<\/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>$20.00<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>La differenza \u00e8 la vera notizia: <strong>Claude Fable 5 costs 114\u00d7 more per blended token than DeepSeek V4-Flash.<\/strong> Vuoi calcolare i tuoi dati personalizzati? Prova il nostro <a href=\"\/it\/ai-api-cost-calculator\/\">Calcolatore dei costi delle API per l'IA<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Intelligence_per_dollar_%E2%80%94_the_value_ranking\"><\/span>Intelligenza per dollaro \u2014 classifica del valore<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Ora dividiamo la capacit\u00e0 per il costo. Utilizzando l'Indice di Intelligenza Artificial Analysis (valore pi\u00f9 alto = maggiore capacit\u00e0) rispetto al costo combinato, per i modelli per cui \u00e8 disponibile un punteggio corrente pubblicato:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Modello<\/th>\n<th>Indice di Intelligenza<\/th>\n<th>Costo combinato ($\/1 milione)<\/th>\n<th>Intelligenza per dollaro<\/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>Il risultato \u00e8 inequivocabile: <strong>DeepSeek V4-Flash fornisce circa 37 volte pi\u00f9 intelligenza per dollaro rispetto a Claude Opus 4.8<\/strong> \u2014 pur ottenendo ancora circa due terzi dell'intelligenza grezza di Opus. Il premio per i modelli di frontiera \u00e8 reale, ma in termini di <em>capacit\u00e0<\/em> \u00e8 contenuto; in termini di <em>prezzo<\/em> \u00e8 enorme.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_this_means_for_you\"><\/span>Cosa significa questo per te<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Il premio per i modelli di frontiera acquista gli ultimi punti, non un\u2019intelligenza proporzionale.<\/strong> Si paga da 30 a 40 volte di pi\u00f9 per ottenere all\u2019incirca il terzo superiore della capacit\u00e0.<\/li>\n<li><strong>Per applicazioni produttive ad alto volume<\/strong> \u2014 chat, classificazione, estrazione, RAG \u2014 un modello economico o open source \u00e8 la scelta razionale predefinita.<\/li>\n<li><strong>Riservare i modelli di frontiera<\/strong> (Opus 4.8, GPT-5.5, Fable 5) per i compiti pi\u00f9 impegnativi di ragionamento e per attivit\u00e0 agentiche su orizzonti temporali lunghi, dove gli ultimi punti contano davvero.<\/li>\n<li><strong>L\u2019auto-hosting di modelli open-weight cambia completamente i calcoli<\/strong> \u2014 il tuo costo diventa quello dell\u2019hardware e dell\u2019elettricit\u00e0, non pi\u00f9 quello per token. Consulta il nostro <a href=\"\/it\/llm-vram-calculator\/\">Calcolatore VRAM<\/a> per verificare quali modelli puoi eseguire localmente.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Caveats\"><\/span>Avvertenze<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>L\u2019Indice di Intelligenza \u00e8 una sola misura indicativa composita: il tuo caso d\u2019uso potrebbe attribuire pesi diversi alla programmazione, ai contesti lunghi o alla multimodalit\u00e0, e i modelli di frontiera mostrano vantaggi maggiori sui compiti agentici pi\u00f9 complessi. Anche i prezzi variano nel tempo e tecniche come la cache o sconti per batch possono ridurre i costi reali del 50\u201390%. Considera questi dati come una mappa orientativa di valore, non come un giudizio definitivo per ogni carico di lavoro.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>Conclusione<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Nel 2026, l\u2019affermazione \u00absi ottiene ci\u00f2 per cui si paga\u00bb \u00e8 semplicemente falsa per le API AI. I modelli capaci pi\u00f9 economici forniscono la stragrande maggioranza dell\u2019intelligenza di frontiera a una frazione minima del costo. Scegli il modello in base al compito specifico \u2014 e verifica i tuoi consumi con il nostro <a href=\"\/it\/ai-api-cost-calculator\/\">calcolatore dei costi<\/a> prima di impegnarti.<\/p>\n<p><em>Fonti: Indice di Intelligenza Artificial Analysis (punteggi di intelligenza); database modelli Convly AI (prezzi). Dati aggiornati a giugno 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\/it\/wp-json\/wp\/v2\/posts\/1246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/comments?post=1246"}],"version-history":[{"count":5,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/posts\/1246\/revisions"}],"predecessor-version":[{"id":1592,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/posts\/1246\/revisions\/1592"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/media\/1806"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/media?parent=1246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/categories?post=1246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/tags?post=1246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}