{"id":51074,"date":"2026-10-06T17:36:00","date_gmt":"2026-10-06T15:36:00","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/?p=51074"},"modified":"2026-10-06T17:36:00","modified_gmt":"2026-10-06T15:36:00","slug":"mistral-large-4-modello-ai-multimodale-preview-pesi-aperti","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/mistral-large-4-modello-ai-multimodale-preview-pesi-aperti\/","title":{"rendered":"Mistral Large 4 arriva in preview: 1.000 miliardi di parametri e pesi aperti pi\u00f9 avanti"},"content":{"rendered":"\n\n<style>\n  :root {\n    --red: #CC1B1B;\n    --red-light: rgba(204,27,27,0.08);\n    --red-mid: #e84040;\n    --accent-soft-bg: rgba(204,27,27,0.07);\n    --accent-soft-border: rgba(204,27,27,0.18);\n    --text: #1a1a1a;\n    --text-muted: #666;\n    --card: #ffffff;\n    --border: #ebebeb;\n    --page-bg: #ffffff;\n    --surface-soft: #fafafa;\n    --surface-contrast: #f0f0f0;\n    --line-soft: #f5f5f5;\n    --soft-label: #bbb;\n    --muted-label: #999;\n    --copy: #333;\n    --font-head: 'Bebas Neue', sans-serif;\n    --font-body: 'DM Sans', sans-serif;\n    --heading-spacing: 0.04em;\n    --heading-weight: 400;\n    --spec-header-spacing: 0.08em;\n    --quickfacts-shadow: 0 10px 24px rgba(15,23,42,0.06);\n  }\n  .fbp5-wrap,.fbp5-wrap * { box-sizing:border-box; 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gap:40px; }\n    .fbp5-section h2 { font-size:32px; }\n    .fbp5-scheda-row { flex-direction:column; }\n    .fbp5-scheda-key { width:100%; }\n    .rh-phonebox-header { padding:18px 16px; flex-direction:column; align-items:center; }\n    .rh-phonebox-hero { width:150px; height:200px; }\n    .rh-phonebox-highlights { grid-template-columns:repeat(2,minmax(0,1fr)); }\n    .rh-phonebox-colors { padding:16px; }\n    .rh-phonebox-section { grid-template-columns:1fr; }\n    .rh-phonebox-section-label { padding:14px 20px; border-right:none; border-bottom:1px solid var(--border); }\n    .rh-phonebox-section-values { padding:14px 20px; }\n    .rh-affbox-grid { grid-template-columns:1fr; }\n    .rh-affbox-col:not(:last-child) { border-right:none; border-bottom:1px solid var(--line-soft); }\n    .rh-affbox-cta { width:100%; }\n    .rh-downloadjump { align-items:flex-start; flex-direction:column; margin:-22px 0 0; }\n    .rh-downloadjump a { width:100%; }\n    .rh-downloadbox-head { flex-direction:column; }\n    .rh-downloadbox-link { width:100%; }\n    .rh-offerbox-head { flex-direction:column; }\n    .rh-offerbox-links { grid-template-columns:1fr; }\n    .rh-offer-inline-wrap { flex-direction:column; align-items:flex-start; }\n    .rh-offer-inline-cta { width:100%; }\n  }\n\n  .fbp5-related-grid{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:14px}\n  .fbp5-related-card{display:block;overflow:hidden;border:1px solid var(--border,#ebebeb);border-radius:10px;background:#fff;color:inherit!important;text-decoration:none!important}\n  .fbp5-related-card img{display:block;width:100%;aspect-ratio:16\/9;object-fit:cover}\n  .fbp5-related-body{padding:12px}.fbp5-related-body strong{display:block;font-size:14px;line-height:1.35}\n  @media(max-width:720px){.fbp5-related-grid{grid-template-columns:1fr}}\n<\/style><div class=\"fbp5-wrap rh-json-article\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\"><div class=\"fbp5-intro\"><p><strong>Mistral Large 4 \u00e8 disponibile in anteprima pubblica.<\/strong> La societ\u00e0 francese presenta un nuovo modello multimodale a pesi aperti basato su una struttura Mixture-of-Experts: sulla carta conta 1,05 trilioni di parametri totali, ma ne attiva 49 miliardi per ogni elaborazione.<\/p><p>\u00c8 una novit\u00e0 importante per la corsa europea ai modelli AI. Va per\u00f2 distinta la disponibilit\u00e0 attuale via API dal rilascio dei pesi, annunciato per una fase successiva di ottobre: oggi non equivale ancora a poter scaricare ed eseguire liberamente il modello.<\/p><\/div><section class=\"fbp5-section\"><div class=\"fbp5-section-label\">Il modello<\/div><h2>Un milione di token di contesto e capacit\u00e0 multimodali<\/h2><p>La <a href=\"https:\/\/docs.mistral.ai\/models\/mistral-large-4-0\" target=\"_blank\" rel=\"noopener\">scheda tecnica ufficiale<\/a> indica una finestra di contesto fino a un milione di token e un encoder visivo da 1,6 miliardi di parametri. Large 4 supporta quindi input testuali e visivi, oltre a funzioni come output strutturati, chiamate a strumenti e analisi di documenti.<\/p><p>La formula MoE distribuisce il lavoro tra gruppi di parametri specializzati: il numero totale descrive la dimensione dell\u2019architettura, mentre quello attivo \u00e8 pi\u00f9 utile per capire quanta parte del modello viene impiegata durante una singola risposta. Non sono due misure direttamente intercambiabili.<\/p><\/section><figure class=\"wp-block-image size-large\" style=\"margin:18px 0;display:block;clear:both;width:100%;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/mistral-large-4-coding-20261006.webp\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/mistral-large-4-coding-20261006.webp\" alt=\"Grafico dei risultati DeepSWE 1.1 pubblicato da Mistral AI\" loading=\"lazy\" style=\"display:block;max-width:100%;height:auto;margin:0 auto;pointer-events:auto\"><\/a><figcaption style=\"font-size:12px;color:#666;margin-top:7px\">Grafico ufficiale: Mistral AI<\/figcaption><\/figure><section class=\"fbp5-section\"><div class=\"fbp5-section-label\">Prestazioni<\/div><h2>I benchmark sono promettenti, ma vanno letti con cautela<\/h2><p>Nel materiale di lancio Mistral mostra risultati su test di programmazione e attivit\u00e0 svolte tramite terminale. I grafici sono utili per capire dove l\u2019azienda colloca Large 4, ma restano una selezione pubblicata dal produttore: le prestazioni nell\u2019uso quotidiano e i confronti indipendenti richiedono ulteriori verifiche.<\/p><p>Il salto \u00e8 soprattutto nella combinazione di grande contesto, visione e strumenti per sviluppatori. Per chi valuta il modello in un prodotto, contano anche affidabilit\u00e0, latenza e costi reali, aspetti che i soli punteggi non riassumono.<\/p><\/section><figure class=\"wp-block-image size-large\" style=\"margin:18px 0;display:block;clear:both;width:100%;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/mistral-large-4-terminal-20261006.webp\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/mistral-large-4-terminal-20261006.webp\" alt=\"Grafico Terminal-Bench 4 pubblicato da Mistral AI\" loading=\"lazy\" style=\"display:block;max-width:100%;height:auto;margin:0 auto;pointer-events:auto\"><\/a><figcaption style=\"font-size:12px;color:#666;margin-top:7px\">Grafico ufficiale: Mistral AI<\/figcaption><\/figure><section class=\"fbp5-section\"><div class=\"fbp5-section-label\">Disponibilit\u00e0<\/div><h2>Preview adesso, pesi aperti pi\u00f9 avanti<\/h2><p>Large 4 \u00e8 indicato nella documentazione di Mistral come <strong>Public Preview<\/strong>. L\u2019accesso via API permette di provarlo da subito, mentre la distribuzione dei pesi \u00e8 prevista per la fine di ottobre. La licenza e i dettagli pratici del rilascio andranno controllati al momento della pubblicazione dei file.<\/p><p>Per ora il dato concreto \u00e8 il debutto di una nuova ammiraglia europea. La promessa di competere con i migliori modelli aperti resta da misurare con test indipendenti, soprattutto quando i pesi saranno disponibili e potranno essere provati fuori dall\u2019infrastruttura di Mistral.<\/p><\/section><section class=\"fbp5-section\" data-rh-related-section=\"1\"><div class=\"fbp5-section-label\">Articoli correlati<\/div><h2>Altre notizie sull\u2019AI<\/h2><div class=\"fbp5-related-grid\"><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/mistral-shieldstral-modello-open-moderazione-contenuti-ai\/\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/08\/ai-mistral-shieldstral-16gb-gpu-packaging-upload-t15jmc681aparhwu-ai-m-9shgvaqtne.png\" alt=\"Mistral Shieldstral \u00e8 il nuovo modello open per moderazione AI multimodale\" loading=\"lazy\"><div class=\"fbp5-related-body\"><strong>Mistral Shieldstral \u00e8 il nuovo modello open per moderazione AI multimodale<\/strong><\/div><\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/mistral-ai-leanstral-1-5-lean-4-modello\/\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/mistral-ai-leanstral-1-5-b19eeb9d-a286-446a-bf5d-da31-lyu0oc84xl.png\" alt=\"Mistral AI lancia Leanstral 1.5, modello open source per prove matematiche in Lean 4\" loading=\"lazy\"><div class=\"fbp5-related-body\"><strong>Mistral AI lancia Leanstral 1.5, modello open source per prove matematiche in Lean 4<\/strong><\/div><\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/google-gemini-3-5-pro-2-milioni-token\/\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/google-gemini-3-5-pro-in-arrivo-972085f5-8968-4800-875c-e8a1-1xhhlyx1bf.webp\" alt=\"Google Gemini 3.5 Pro in arrivo: contesto da 2 milioni di token e focus su agenti AI\" loading=\"lazy\"><div class=\"fbp5-related-body\"><strong>Google Gemini 3.5 Pro in arrivo: contesto da 2 milioni di token e focus su agenti AI<\/strong><\/div><\/a><\/div><\/section><\/div><div class=\"rh-attribution-pills\" style=\"display:flex;gap:10px;flex-wrap:wrap;margin:16px 0\"><a href=\"https:\/\/mistral.ai\/news\/mistral-large-4\/\" target=\"_blank\" rel=\"noopener\">Fonte: Mistral AI<\/a><a href=\"https:\/\/docs.mistral.ai\/models\/mistral-large-4-0\" target=\"_blank\" rel=\"noopener\">Specifiche ufficiali<\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>Mistral presenta Large 4 in anteprima pubblica: un modello multimodale MoE con 49 miliardi di parametri attivi. I pesi aperti arriveranno in un secondo momento.<\/p>\n","protected":false},"author":15,"featured_media":51071,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Mistral Large 4","footnotes":""},"categories":[480],"tags":[933],"class_list":["post-51074","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mistral Large 4: preview, specifiche e rilascio dei pesi | CSB<\/title>\n<meta name=\"description\" content=\"Mistral Large 4 \u00e8 in preview: architettura MoE, 49 miliardi di parametri attivi, contesto fino a un milione di token e pesi aperti attesi a 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