{"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\/fr\/ai-price-performance-index-2026\/","title":{"rendered":"Indice 2026 du rapport prix-performance en IA\u00a0: quel mod\u00e8le offre le plus d'intelligence pour un dollar d\u00e9pens\u00e9\u00a0?"},"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\">\u00c9tude originale de Convly \u00b7 Mise \u00e0 jour 2026<\/p>\n<div class=\"ppi-headline\">Le prix de l\u2019intelligence : un \u00e9cart de co\u00fbt de 114\u00d7 entre les mod\u00e8les d\u2019IA<\/div>\n<p class=\"ppi-sub\">Nous avons crois\u00e9 les prix en direct des API de 30 mod\u00e8les d\u2019IA leaders avec l\u2019Indice ind\u00e9pendant de l\u2019intelligence artificielle d\u2019Artificial Analysis afin de r\u00e9pondre \u00e0 une seule question : quel mod\u00e8le offre le plus d\u2019intelligence pour un dollar d\u00e9pens\u00e9 ? La r\u00e9ponse remet en cause l\u2019id\u00e9e re\u00e7ue selon laquelle \u00ab on obtient ce pour quoi on paie \u00bb.<\/p>\n<div class=\"ppi-stats\">\n<div class=\"ppi-stat a\"><span class=\"ppi-num\">114\u00d7<\/span><span class=\"ppi-lab\">\u00e9cart de co\u00fbt pond\u00e9r\u00e9 \u2014 de 0,18 $ \u00e0 20 $ par million de jetons<\/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\">du co\u00fbt d\u2019Opus permet d\u2019acheter environ 67 % de son intelligence mesur\u00e9e<\/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\">Co\u00fbt pond\u00e9r\u00e9 de l\u2019API par million de jetons \u2014 un \u00e9cart de 114\u00d7 (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>Co\u00fbt pond\u00e9r\u00e9 = (3 \u00d7 entr\u00e9e + sortie) \u00f7 4, soit un ratio entr\u00e9e\/sortie typique de 3:1 observ\u00e9 dans le trafic r\u00e9el des API. Source : base de donn\u00e9es des mod\u00e8les d\u2019IA de Convly. Vert = meilleure valeur, orange = mod\u00e8le le plus co\u00fbteux.<\/figcaption><\/figure>\n<p>La tarification des mod\u00e8les IA en 2026 couvre une fourchette \u00e9tonnamment large \u2014 or le mod\u00e8le le plus co\u00fbteux n\u2019est nullement 100 fois plus intelligent que le moins cher. Nous avons combin\u00e9 les prix en direct figurant dans notre <a href=\"\/fr\/models\/\">Base de donn\u00e9es des mod\u00e8les IA<\/a> et la r\u00e9f\u00e9rence ind\u00e9pendante <strong>Indice d\u2019intelligence artificielle d\u2019Artificial Analysis<\/strong> pour r\u00e9pondre \u00e0 une seule question : <strong>quel mod\u00e8le vous offre le plus d\u2019intelligence pour chaque dollar d\u00e9pens\u00e9 ?<\/strong> La r\u00e9ponse remet en cause l\u2019hypoth\u00e8se selon laquelle on obtient ce pour quoi on paie.<\/p>\n<div class=\"convly-tldr\">\n<h3>Points cl\u00e9s<\/h3>\n<ul>\n<li><strong>\u00c9cart de prix de 114\u00d7.<\/strong> Sur une base de co\u00fbt pond\u00e9r\u00e9, les mod\u00e8les API de pointe vont d\u2019environ 0,18 $ \u00e0 environ 20 $ par million de jetons.<\/li>\n<li><strong>Valeur \u2260 prix.<\/strong> Les mod\u00e8les capables les moins chers offrent <strong>30 \u00e0 40 fois plus d\u2019intelligence par dollar<\/strong> que les mod\u00e8les de pointe les plus co\u00fbteux.<\/li>\n<li><strong>DeepSeek V4-Flash<\/strong> offre environ <strong>67 % de l\u2019intelligence mesur\u00e9e de Claude Opus 4.8 pour environ 1,8 % de son co\u00fbt.<\/strong><\/li>\n<li>Payer le prix fort permet d\u2019obtenir <em>les derniers points<\/em> de capacit\u00e9 \u2014 pas une intelligence proportionnellement sup\u00e9rieure.<\/li>\n<li>Pour la plupart des charges de travail, un mod\u00e8le interm\u00e9diaire ou open source constitue le choix rationnel par d\u00e9faut ; r\u00e9servez les mod\u00e8les de pointe aux t\u00e2ches les plus complexes.<\/li>\n<\/ul>\n<\/div>\n<div class=\"convly-tldr ppi-k3-update\">\n<h3>Mise \u00e0 jour \u2014 juillet 2026 : un mod\u00e8le open source occupe d\u00e9sormais la premi\u00e8re place du classement<\/h3>\n<p>Depuis la publication de cette \u00e9tude, Moonshot a lanc\u00e9 <a href=\"\/fr\/kimi-k3-explained-2026\/\">Kimi K3<\/a> (16 juillet 2026) \u2014 un m\u00e9lange d\u2019experts open-weight de 2,8 billions de param\u00e8tres, obtenant un score de <strong>57<\/strong> sur l\u2019Indice de l\u2019intelligence artificielle d\u2019Artificial Analysis, d\u00e9passant ainsi l\u00e9g\u00e8rement Claude Opus 4.8 (55,7). Il s\u2019agit du premier mod\u00e8le open-weight \u00e0 surpasser un mod\u00e8le phare occidental, et \u00e0 3 $\/15 $ par million de jetons, il fournit environ <strong>1,7 fois plus d\u2019intelligence par dollar que Opus 4.8<\/strong>.<\/p>\n<p>Cela ne modifie toutefois pas l\u2019\u00e9cart de co\u00fbt pond\u00e9r\u00e9 pr\u00e9sent\u00e9 dans le r\u00e9sultat principal : K3 se situe au milieu du classement en termes de valeur, avec 6,3 points d\u2019intelligence par dollar pond\u00e9r\u00e9. <a href=\"\/fr\/glm-5-2-explained-2026\/\">GLM 5.2<\/a> fournit encore environ 2,8 fois plus de capacit\u00e9s par dollar, et DeepSeek V4-Flash environ 30 fois plus. L\u2019\u00e8re des mod\u00e8les chinois ultra-peu co\u00fbteux semble \u00e9galement prendre fin \u2014 K3 co\u00fbte environ 3 fois plus que son propre pr\u00e9d\u00e9cesseur. Analyse compl\u00e8te : <a href=\"\/fr\/kimi-k3-explained-2026\/\">Explication de Kimi K3<\/a> \u00b7 <a href=\"\/fr\/kimi-k3-vs-claude-opus-4-8\/\">K3 contre Opus 4.8<\/a>.<\/p>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_88 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6ab0f87264892\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Basculer<\/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-6ab0f87264892\"  aria-label=\"Basculer\" \/><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\/fr\/ai-price-performance-index-2026\/#How_we_measured_it\" >Comment nous avons proc\u00e9d\u00e9 aux mesures<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/fr\/ai-price-performance-index-2026\/#The_2026_blended-cost_index\" >Indice 2026 du co\u00fbt pond\u00e9r\u00e9<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/fr\/ai-price-performance-index-2026\/#Intelligence_per_dollar_%E2%80%94_the_value_ranking\" >Intelligence par dollar \u2014 classement de la valeur<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/fr\/ai-price-performance-index-2026\/#What_this_means_for_you\" >Ce que cela signifie pour vous<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/fr\/ai-price-performance-index-2026\/#Caveats\" >Mises en garde<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/fr\/ai-price-performance-index-2026\/#Bottom_line\" >Conclusion<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/fr\/ai-price-performance-index-2026\/#Download_the_data_%E2%80%94_free_open_CC-BY-40\" >T\u00e9l\u00e9charger les donn\u00e9es \u2014 gratuites et ouvertes (licence 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\/fr\/ai-price-performance-index-2026\/#Cite_or_republish_this_study\" >Citer ou republier cette \u00e9tude<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_we_measured_it\"><\/span>Comment nous avons proc\u00e9d\u00e9 aux mesures<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Tarification<\/strong> \u2014 prix en direct des API d\u2019entr\u00e9e\/sortie (par million de jetons) provenant de Convly <a href=\"https:\/\/convly.ai\/fr\/models\/\">Base de donn\u00e9es des mod\u00e8les IA<\/a>.<\/li>\n<li><strong>Co\u00fbt combin\u00e9<\/strong> \u2014 ratio jetons d\u2019entr\u00e9e\/jetons de sortie de 3:1 (typique du trafic API r\u00e9el) : <code>co\u00fbt pond\u00e9r\u00e9 = (3 \u00d7 entr\u00e9e + sortie) \u00f7 4<\/code>. Cela permet de comparer directement des mod\u00e8les dont l\u2019entr\u00e9e est peu co\u00fbteuse mais la sortie on\u00e9reuse.<\/li>\n<li><strong>Performances<\/strong> \u2014 l\u2019Indice d\u2019intelligence Artificielle Analysis (indice composite couvrant le raisonnement, la programmation, les math\u00e9matiques et les connaissances), utilis\u00e9 <em>seulement<\/em> lorsqu\u2019un score actuel est publi\u00e9 pour le mod\u00e8le exact.<\/li>\n<li><strong>Valeur<\/strong> \u2014 Indice d\u2019intelligence \u00f7 co\u00fbt combin\u00e9.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"The_2026_blended-cost_index\"><\/span>Indice 2026 du co\u00fbt pond\u00e9r\u00e9<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Mod\u00e8le<\/th>\n<th>Entr\u00e9e : $\/1 million<\/th>\n<th>Sortie : $\/1 million<\/th>\n<th>Co\u00fbt combin\u00e9 par million de dollars<\/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>L\u2019\u00e9cart est ce qui retient l\u2019attention : <strong>Claude Fable 5 co\u00fbte 114 fois plus cher par jeton pond\u00e9r\u00e9 que DeepSeek V4-Flash.<\/strong> Souhaitez-vous obtenir vos propres chiffres ? Essayez notre <a href=\"\/fr\/ai-api-cost-calculator\/\">Calculateur de co\u00fbts pour les API IA<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Intelligence_per_dollar_%E2%80%94_the_value_ranking\"><\/span>Intelligence par dollar \u2014 classement de la valeur<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Nous divisons d\u00e9sormais la capacit\u00e9 par le co\u00fbt. En utilisant l\u2019Indice d\u2019intelligence Artificielle Analysis (plus \u00e9lev\u00e9 = plus performant) compar\u00e9 au co\u00fbt combin\u00e9, pour les mod\u00e8les disposant d\u2019un score actuel publi\u00e9 :<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Mod\u00e8le<\/th>\n<th>Indice d\u2019intelligence<\/th>\n<th>Co\u00fbt combin\u00e9 par million de dollars<\/th>\n<th>Intelligence par 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>Le constat est sans appel : <strong>DeepSeek V4-Flash fournit environ 37 fois plus d\u2019intelligence par dollar que Claude Opus 4.8<\/strong> \u2014 tout en obtenant environ les deux tiers de l\u2019intelligence brute d\u2019Opus. La prime \u00ab fronti\u00e8re \u00bb est bien r\u00e9elle, mais en termes de <em>capacit\u00e9<\/em> elle est faible ; en termes de <em>prix<\/em> elle est \u00e9norme.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_this_means_for_you\"><\/span>Ce que cela signifie pour vous<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>La prime \u00ab fronti\u00e8re \u00bb ach\u00e8te les derniers points, pas une intelligence proportionnelle.<\/strong> Vous payez 30 \u00e0 40 fois plus cher pour environ le tiers sup\u00e9rieur des capacit\u00e9s.<\/li>\n<li><strong>Pour les applications de production \u00e0 fort volume<\/strong> \u2014 chat, classification, extraction, RAG \u2014 un mod\u00e8le \u00e9conomique ou open source constitue le choix rationnel par d\u00e9faut.<\/li>\n<li><strong>R\u00e9servez les mod\u00e8les de pointe<\/strong> (Opus 4.8, GPT-5.5, Fable 5) aux t\u00e2ches les plus complexes de raisonnement et aux travaux agents \u00e0 long terme, o\u00f9 ces derniers points comptent v\u00e9ritablement.<\/li>\n<li><strong>L\u2019h\u00e9bergement local des poids ouverts transforme enti\u00e8rement les calculs<\/strong> \u2014 votre co\u00fbt se limite alors au mat\u00e9riel et \u00e0 l\u2019\u00e9lectricit\u00e9, et non plus au co\u00fbt par jeton. Consultez notre <a href=\"\/fr\/llm-vram-calculator\/\">Calculateur de VRAM<\/a> pour v\u00e9rifier ce que vous pouvez ex\u00e9cuter localement.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Caveats\"><\/span>Mises en garde<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>L\u2019Indice d\u2019intelligence est un indicateur composite approximatif \u2014 votre t\u00e2che peut accorder un poids diff\u00e9rent \u00e0 la programmation, au contexte long ou \u00e0 la multimodalit\u00e9, et les mod\u00e8les de pointe prennent davantage d\u2019avance sur les t\u00e2ches agents les plus complexes. Les prix \u00e9voluent \u00e9galement, et la mise en cache ou les remises par lot peuvent r\u00e9duire vos factures r\u00e9elles de 50 \u00e0 90 %. Consid\u00e9rez cet indice comme une carte indicative de valeur, non comme un jugement d\u00e9finitif pour chaque charge de travail.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>En 2026, l\u2019adage \u00ab on obtient ce pour quoi on paie \u00bb est tout simplement faux pour les API IA. Les mod\u00e8les \u00e9conomiques capables fournissent la grande majorit\u00e9 de l\u2019intelligence de pointe \u00e0 une fraction minime du co\u00fbt. Adaptez le mod\u00e8le \u00e0 la t\u00e2che \u2014 et calculez vos propres besoins avec notre <a href=\"\/fr\/ai-api-cost-calculator\/\">calculateur de co\u00fbts<\/a> avant de vous engager.<\/p>\n<p><em>Sources : Indice d\u2019intelligence Artificielle Analysis (scores d\u2019intelligence) ; base de donn\u00e9es des mod\u00e8les Convly AI (tarifs). Donn\u00e9es actualis\u00e9es en juin 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>T\u00e9l\u00e9charger les donn\u00e9es \u2014 gratuites et ouvertes (licence CC-BY-4.0)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>L\u2019int\u00e9gralit\u00e9 du jeu de donn\u00e9es couvrant les 30 mod\u00e8les (prix, caract\u00e9ristiques techniques, scores d\u2019intelligence et rapports de valeur) est ouverte \u00e0 toute personne souhaitant l\u2019analyser ou la republier, sous r\u00e9serve d\u2019attribution correcte :<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/Sakd99\/ai-models-database\" rel=\"noopener\" target=\"_blank\">CSV + JSON sur GitHub<\/a><\/li>\n<li><a href=\"https:\/\/huggingface.co\/datasets\/sakd99\/ai-models-database\" rel=\"noopener\" target=\"_blank\">Jeu de donn\u00e9es sur 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>Citer ou republier cette \u00e9tude<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Libre de citer, de reproduire ou d\u2019int\u00e9grer, \u00e0 condition d\u2019inclure un lien vers la source. Cr\u00e9dit sugg\u00e9r\u00e9 :<\/p>\n<blockquote><p>\u00ab L\u2019indice 2026 du rapport prix\/performance de l\u2019IA \u00bb, Convly \u2014 https:\/\/convly.ai\/ai-price-performance-index-2026\/<\/p><\/blockquote>\n<p><strong>R\u00e9sultat principal \u00e0 titre de r\u00e9f\u00e9rence :<\/strong> un \u00e9cart de co\u00fbt pond\u00e9r\u00e9 de 114\u00d7 s\u00e9pare le mod\u00e8le d\u2019IA capable le moins cher (0,18 $\/million de jetons) du plus co\u00fbteux (20 $\/million de jetons), tandis que le mod\u00e8le offrant la meilleure valeur rapporte environ <strong>37 fois plus d\u2019intelligence par dollar d\u00e9pens\u00e9<\/strong> que le mod\u00e8le phare le plus co\u00fbteux, tout en obtenant n\u00e9anmoins environ les deux tiers de son niveau d\u2019intelligence brute. Journalistes et chercheurs : les donn\u00e9es sous-jacentes sont t\u00e9l\u00e9chargeables ci-dessus, et nous sommes heureux de vous fournir, sur demande, la m\u00e9thodologie compl\u00e8te ou un graphique haute r\u00e9solution.<\/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\/fr\/wp-json\/wp\/v2\/posts\/1246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/comments?post=1246"}],"version-history":[{"count":5,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/1246\/revisions"}],"predecessor-version":[{"id":1592,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/1246\/revisions\/1592"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media\/1806"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media?parent=1246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/categories?post=1246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/tags?post=1246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}