{"id":1277,"date":"2026-06-23T14:45:04","date_gmt":"2026-06-23T14:45:04","guid":{"rendered":"https:\/\/convly.ai\/?p=1277"},"modified":"2026-06-23T14:45:04","modified_gmt":"2026-06-23T14:45:04","slug":"llama-4-scout-vs-llama-4-maverick","status":"publish","type":"post","link":"https:\/\/convly.ai\/de\/llama-4-scout-vs-llama-4-maverick\/","title":{"rendered":"Llama 4 Scout vs. Llama 4 Maverick: Spezifikationen, Preise &amp; Entscheidungshilfe (2026)"},"content":{"rendered":"<p><strong>Llama 4 Scout<\/strong> vs. <strong>Llama 4 Maverick<\/strong> \u2014 Die beiden Llama-4-Varianten von Meta im direkten Vergleich. Darunter finden Sie s\u00e4mtliche technischen Daten im Seitenvergleich: Spezifikationen, API-Preise, Kontextfenster, lokale Hardware-Anforderungen sowie eine klare, datengest\u00fctzte Empfehlung, welches Modell Sie w\u00e4hlen sollten.<\/p>\n<div class=\"cmp\">\n  <table class=\"cmp-table\">\n    <thead><tr><th>Spezifikation<\/th><th><a href=\"https:\/\/convly.ai\/de\/model\/llama-4-scout\/\">Llama 4 Scout<\/a><\/th><th><a href=\"https:\/\/convly.ai\/de\/model\/llama-4-maverick\/\">Llama 4 Maverick<\/a><\/th><\/tr><\/thead>\n    <tbody>\n          <tr><td class=\"cmp-spec\">Entwickler<\/td><td class=\"\">Meta<\/td><td class=\"\">Meta<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Typ<\/td><td class=\"\">Multimodal (MoE)<\/td><td class=\"\">Multimodal (MoE)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Parameter<\/td><td class=\"\">109 Mrd. insgesamt \/ 17 Mrd. aktiv (MoE)<\/td><td class=\"\">400 Mrd. insgesamt \/ 17 Mrd. aktiv (MoE)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Kontextfenster<\/td><td class=\"cmp-win\">10 Mio.<\/td><td class=\"\">1 Mio.<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Modalit\u00e4t<\/td><td class=\"\">Text, Bild \u2192 Text<\/td><td class=\"\">Text, Bild \u2192 Text<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Lizenz<\/td><td class=\"\">Llama 4 Community (EU-beschr\u00e4nkt)<\/td><td class=\"\">Llama 4 Community (EU-beschr\u00e4nkt)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Offene Gewichte<\/td><td class=\"\">\u2705 Ja<\/td><td class=\"\">\u2705 Ja<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Eingabepreis (US$\/1 Mio.)<\/td><td class=\"cmp-win\">$0.1<\/td><td class=\"\">$0.15<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Ausgabepreis (US$\/1 Mio.)<\/td><td class=\"\">$0.3<\/td><td class=\"\">$0.6<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">VRAM (4-Bit)<\/td><td class=\"\">ca. 65 GB<\/td><td class=\"\">ca. 240 GB<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Mindest-GPU (lokal)<\/td><td class=\"\">H100 80 GB \/ Mac 128 GB<\/td><td class=\"\">Multi-GPU-Server<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Ver\u00f6ffentlichung<\/td><td class=\"\">2025<\/td><td class=\"\">2025<\/td><\/tr>\n        <\/tbody>\n  <\/table>\n\n    <div class=\"cmp-verdict\">\n    <h3>Wesentliche Unterschiede<\/h3>\n    <ul><li><strong>Kosten:<\/strong> Llama 4 Scout ist <strong>75 % g\u00fcnstiger<\/strong> als Llama 4 Maverick \u2013 bezogen auf den durchschnittlichen Preis pro Token.<\/li><li><strong>Kontext:<\/strong> Llama 4 Scout \u00fcberzeugt beim Kontextfenster (10 Mio. vs. 1 Mio.) \u2013 ideal f\u00fcr lange Dokumente, umfangreiche Codebasen und gro\u00dfe RAG-Eingaben.<\/li><li><strong>Offenheit:<\/strong> Beide Modelle verf\u00fcgen \u00fcber offene Gewichte und k\u00f6nnen daher entweder selbst gehostet oder feinjustiert werden. Vergleichen Sie oben die erforderliche VRAM-Menge, um zu ermitteln, welches Modell auf Ihrer GPU l\u00e4uft.<\/li><li><strong>Llama 4 Scout lokal ausf\u00fchren:<\/strong> ca. 65 GB im 4-Bit-Format (mindestens H100 mit 80 GB VRAM oder Mac mit 128 GB RAM).<\/li><li><strong>Llama 4 Maverick lokal ausf\u00fchren:<\/strong> ca. 240 GB im 4-Bit-Format (mindestens Multi-GPU-Server).<\/li><\/ul>\n  <\/div>\n\n    <div class=\"cmp-rec\">\n    <h3>Welches Modell sollten Sie w\u00e4hlen?<\/h3>\n    <p><strong>Llama-4-Scout w\u00e4hlen<\/strong> wenn Sie niedrigere Kosten pro Token bei Hochvolumen-Arbeitslasten ben\u00f6tigen oder ein gr\u00f6\u00dferes Kontextfenster ben\u00f6tigen.<\/p>\n    <p><strong>W\u00e4hlen Sie Llama 4 Maverick<\/strong> wenn es in Ihre bestehende Technologieumgebung passt oder Sie Meta bevorzugen.<\/p>\n    <p class=\"cmp-tools\">\u2192 Sch\u00e4tzen Sie die tats\u00e4chlichen Kosten mit dem <a href=\"\/de\/ai-api-cost-calculator\/\">API-Kostenrechner<\/a> \u00b7 pr\u00fcfen Sie Ihre lokale Hardware mit dem <a href=\"\/de\/llm-vram-calculator\/\">VRAM-Rechner<\/a> \u00b7 durchsuchen Sie alle <a href=\"\/de\/models\/\">\u00fcber 30 Modelle<\/a>.<\/p>\n  <\/div>\n<\/div>\n\n<p>Alle Spezifikationen und Preise werden live aus unserer <a href=\"\/de\/models\/\">Datenbank f\u00fcr KI-Modelle<\/a> Datenbank abgerufen und stets aktuell gehalten. Vergleichen Sie entweder eines der beiden Modelle mit anderen oder sch\u00e4tzen Sie Ihre eigenen monatlichen Ausgaben mithilfe der oben genannten kostenlosen Rechner.<\/p>","protected":false},"excerpt":{"rendered":"<p>Llama 4 Scout vs Llama 4 Maverick compared: specs, API pricing, context window, VRAM and a clear verdict on which model to choose in 2026.<\/p>","protected":false},"author":1,"featured_media":0,"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":[246],"tags":[395,795,811],"class_list":["post-1277","post","type-post","status-publish","format-standard","hentry","category-ai-comparisons","tag-ai-model-comparison","tag-llama-4-maverick","tag-llama-4-scout"],"_links":{"self":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/posts\/1277","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=1277"}],"version-history":[{"count":0,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/posts\/1277\/revisions"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/media?parent=1277"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/categories?post=1277"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/tags?post=1277"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}