{"id":30824,"date":"2026-06-12T14:45:00","date_gmt":"2026-06-12T12:45:00","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/?p=30824"},"modified":"2026-06-12T14:12:49","modified_gmt":"2026-06-12T12:12:49","slug":"xiaomi-ai-llm-mimo-omnivoice-miclaw","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/xiaomi-ai-llm-mimo-omnivoice-miclaw\/","title":{"rendered":"Xiaomi AI e LLM: tutti i modelli, funzioni e prezzi"},"content":{"rendered":"\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Bebas+Neue&amp;family=DM+Sans:ital,wght@0,300;0,400;0,500;0,600;0,700;1,400&amp;display=swap\" rel=\"stylesheet\">\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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}\n  }\n<\/style>\n<div class=\"fbp5-wrap rh-json-article\" id=\"rh-article-mqaw01m5-2cgee\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Xiaomi ha cambiato marcia sull&#39;intelligenza artificiale e nel giro di poco pi\u00f9 di un anno \u00e8 passata da protagonista di smartphone e domotica a realt\u00e0 da seguire con attenzione anche nel settore dei modelli linguistici.<\/p><p>Il quadro \u00e8 interessante non solo per la quantit\u00e0 di modelli pubblicati, ma anche per l&#39;approccio scelto: molti sono open source, diversi sono gi\u00e0 arrivati su dispositivi Xiaomi o nell&#39;ecosistema HyperOS, e alcuni puntano su costi d&#39;uso molto aggressivi, come MiMo-V2-Flash con API a $0,1 per milione di token di input, pari a circa 0,09 euro.<\/p>\n  <\/div>\n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Modelli LLM<\/div>\n        <h2>MiMo \u00e8 il punto di partenza della strategia AI di Xiaomi<\/h2>\n        <p>Il primo salto pubblico di Xiaomi nel settore \u00e8 arrivato nell&#39;aprile 2025 con MiMo-7B, il primo modello linguistico open source del marchio. Il nome deriva da Xiaomi Model e il focus non \u00e8 sul semplice dialogo, ma su ragionamento e codice.<\/p><p>Pur fermandosi a 7 miliardi di parametri, MiMo-7B \u00e8 stato presentato come competitivo su compiti complessi: sulla prova MATH-500, la versione addestrata con reinforcement learning ha raggiunto il 95,8%, con risultati dichiarati migliori di OpenAI o1-mini e Alibaba Qwen-32B-Preview in alcune competizioni matematiche AIME 2024 e 2025.<\/p><p>Il modello \u00e8 stato addestrato su 200 miliardi di token dedicati al ragionamento e su un totale di 25 trilioni di token nelle tre fasi di training, con licenza MIT e disponibilit\u00e0 su Hugging Face. A guidare il progetto c&#39;\u00e8 Luo Fuli, arrivata a Xiaomi da DeepSeek.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>MiMo-7B \u00e8 il primo LLM open source di Xiaomi.<\/li><li>Il modello punta su ragionamento e programmazione, non solo su chat generica.<\/li><li>L&#39;addestramento include 200 miliardi di token di ragionamento e 25 trilioni di token complessivi.<\/li><li>La licenza MIT lo rende riutilizzabile anche in progetti terzi.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Primo rilascio<\/div>\n        <div class=\"rh-quickfacts-value\">Aprile 2025<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Parametri<\/div>\n        <div class=\"rh-quickfacts-value\">7 miliardi<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Piattaforma<\/div>\n        <div class=\"rh-quickfacts-value\">Hugging Face<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">MiMo-7B ha segnato il passaggio di Xiaomi da semplice integratore di AI a sviluppatore di modelli proprietari con ambizioni reali nel ragionamento automatico.<\/div>\n        <div class=\"fbp5-info\">L&#39;interesse per MiMo nasce anche dal fatto che Xiaomi ha scelto subito una strada molto tecnica: meno attenzione al chatbot di facciata e pi\u00f9 enfasi su benchmark, codice e calcolo.<\/div>\n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Efficienza e costi<\/div>\n        <h2>MiMo-V2-Flash porta velocit\u00e0, MoE e <span>API molto economiche<\/span><\/h2>\n        <p>A dicembre 2025 Xiaomi ha alzato il livello con MiMo-V2-Flash, un modello da 309 miliardi di parametri totali basato su architettura Mixture-of-Experts. In pratica, una parte dei pesi resta inattiva e solo circa 15 miliardi di parametri vengono usati in ogni passaggio.<\/p><p>Il risultato \u00e8 un compromesso forte tra prestazioni e costi: il modello \u00e8 stato indicato tra i migliori open source nei benchmark di ragionamento, ha eguagliato GPT-5 e Claude 4.5 Sonnet nei test SWE-Bench Verified e arriva a generare risposte a 150 token al secondo.<\/p><p>Sul fronte economico, Xiaomi ha fissato l&#39;accesso API a $0,1 per milione di token di input, cio\u00e8 circa 0,09 euro, con accesso gratuito per un periodo limitato al debutto. Il modello introduce anche la tecnica Multi-Token Prediction, che consente di generare e verificare pi\u00f9 token nello stesso passaggio.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>MiMo-V2-Flash ha 309 miliardi di parametri totali.<\/li><li>Solo circa 15 miliardi di parametri sono attivi per ogni richiesta.<\/li><li>La velocit\u00e0 dichiarata arriva a 150 token al secondo.<\/li><li>L&#39;API costa $0,1 per milione di token di input, circa 0,09 euro.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Data<\/div>\n        <div class=\"rh-quickfacts-value\">Dicembre 2025<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Architettura<\/div>\n        <div class=\"rh-quickfacts-value\">Mixture-of-Experts<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Tecnica chiave<\/div>\n        <div class=\"rh-quickfacts-value\">Multi-Token Prediction<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Con MiMo-V2-Flash Xiaomi non punta solo a farsi notare nei benchmark: prova anche a competere sui costi di inferenza, un punto decisivo per chi integra AI in prodotti e servizi.<\/div>\n        <div class=\"fbp5-info\">La scelta di un prezzo API molto basso \u00e8 uno degli elementi pi\u00f9 utili per sviluppatori e integratori, perch\u00e9 rende pi\u00f9 credibile l&#39;uso del modello in scenari reali e non solo dimostrativi.<\/div>\n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Flagship AI<\/div>\n        <h2>MiMo-V2-Pro e MiMo-V2.5-Pro alzano l&#39;asticella dei <span>modelli agentici<\/span><\/h2>\n        <p>Nel marzo 2026 \u00e8 arrivato MiMo-V2-Pro, il modello pi\u00f9 ambizioso della serie, con oltre un trilione di parametri totali e 42 miliardi attivi per passaggio. Il contesto arriva a un milione di token, abbastanza da gestire conversazioni o documenti di dimensioni enormi in un solo flusso.<\/p><p>Xiaomi lo descrive come pensato per compiti agentici, cio\u00e8 attivit\u00e0 multi-step che richiedono pianificazione ed esecuzione senza intervento continuo dell&#39;utente. Il modello \u00e8 apparso prima su OpenRouter con il nome anonimo Hunter Alpha, dove ha scalato rapidamente le classifiche.<\/p><p>Ad affiancarlo sono arrivati MiMo-V2-Omni, capace di lavorare con testo, immagini, audio e video, e MiMo-V2-TTS per la sintesi vocale. A fine aprile 2026 Xiaomi ha poi unificato il meglio della famiglia in MiMo-V2.5-Pro, un modello da 1,02 trilioni di parametri che gestisce tutti i media principali in un&#39;unica architettura.<\/p><p>MiMo-V2.5-Pro raggiunge 60-80 token al secondo sui compiti complessi, mentre la variante pi\u00f9 leggera MiMo-V2.5 sale a 100-150 token al secondo. Al lancio Xiaomi ha anche eliminato i costi extra per il contesto da un milione di token e azzerato i crediti utente iniziali.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>MiMo-V2-Pro supera il trilione di parametri totali.<\/li><li>Il contesto arriva a 1 milione di token.<\/li><li>MiMo-V2.5-Pro unifica testo, immagini, audio e video.<\/li><li>MiMo-V2.5 \u00e8 la variante pi\u00f9 veloce per l&#39;uso quotidiano.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Velocit\u00e0 Pro<\/div>\n        <div class=\"rh-quickfacts-value\">60-80 token al secondo<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Velocit\u00e0 standard<\/div>\n        <div class=\"rh-quickfacts-value\">100-150 token al secondo<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">La famiglia V2.5 \u00e8 il punto in cui Xiaomi smette di proporre singoli modelli e costruisce una piattaforma AI completa, pensata per compiti complessi e uso multimodale.<\/div>\n        <div class=\"fbp5-info\">L&#39;attenzione al contesto lungo e ai compiti agentici \u00e8 uno dei segnali pi\u00f9 chiari della direzione Xiaomi: meno chatbot isolato, pi\u00f9 automazione applicativa.<\/div>\n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Voce, audio e agenti<\/div>\n        <h2>OmniVoice, MiMo-Audio e miclaw mostrano la parte pi\u00f9 <span>concreta dell&#39;ecosistema<\/span><\/h2>\n        <p>Sul fronte vocale Xiaomi ha messo sul tavolo OmniVoice, un modello text-to-speech open source pubblicato nel maggio 2026. Il sistema supporta 646 lingue, comprese molte lingue a bassa diffusione, e pu\u00f2 clonare una voce da pochi secondi di audio di riferimento.<\/p><p>L&#39;architettura \u00e8 volutamente semplificata: un singolo transformer mappa il testo direttamente sui token acustici, con training completato su 100.000 ore di audio in un solo giorno e inferenza fino a 40 volte pi\u00f9 veloce del tempo reale con PyTorch. Il tutto \u00e8 rilasciato sotto licenza Apache 2.0.<\/p><p>Accanto a OmniVoice c&#39;\u00e8 MiMo-V2.5-TTS, mentre il riconoscimento vocale \u00e8 coperto da un sistema ASR bilingue. Xiaomi aveva gi\u00e0 pubblicato MiMo-Audio, poi integrato nell&#39;esperienza multimodale della serie V2.5.<\/p><p>Sul piano pi\u00f9 ambizioso c&#39;\u00e8 miclaw, un agente AI autonomo ancora in beta chiusa. Non si limita a rispondere: apre app, naviga nelle interfacce, compila moduli, usa strumenti di sistema e completa attivit\u00e0 in pi\u00f9 passaggi con un ciclo inferenza-esecuzione. La beta iniziale supporta la serie Xiaomi 17 e HyperOS 4 dovrebbe integrarlo a livello di sistema.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>OmniVoice supporta 646 lingue.<\/li><li>La clonazione vocale funziona con pochi secondi di audio.<\/li><li>MiMo-Audio \u00e8 stato integrato nella famiglia V2.5.<\/li><li>miclaw esegue azioni sul telefono, non solo risposte testuali.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">OmniVoice<\/div>\n        <div class=\"rh-quickfacts-value\">Maggio 2026<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Velocit\u00e0 inferenza<\/div>\n        <div class=\"rh-quickfacts-value\">Fino a 40x tempo reale<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Beta miclaw<\/div>\n        <div class=\"rh-quickfacts-value\">Serie Xiaomi 17<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Miclaw \u00e8 il pezzo pi\u00f9 interessante dell&#39;intera strategia: Xiaomi non vuole solo un assistente che capisce, ma un agente che agisce davvero sul dispositivo.<\/div>\n        <div class=\"fbp5-info\">Sul tema privacy Xiaomi dichiara che le interazioni con miclaw non vengono usate per addestrare i modelli e che i dati sensibili vengono gestiti in locale tramite elaborazione edge-cloud.<\/div>\n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Prodotto e strategia<\/div>\n        <h2>HyperAI e Xiao AI portano questa spinta nei telefoni e nei dispositivi di <span>tutti i giorni<\/span><\/h2>\n        <p>La parte pi\u00f9 visibile per chi usa gi\u00e0 prodotti Xiaomi passa da Xiao AI e HyperAI. Xiao AI \u00e8 l&#39;assistente storico del marchio e con HyperOS 2 \u00e8 diventato Super Xiao AI, con memoria di contesto migliore, controllo pi\u00f9 intelligente dei dispositivi domestici e generazione immagini da testo.<\/p><p>HyperAI \u00e8 invece la suite di funzioni integrate nel sistema: traduzione in tempo reale, assistenza alla scrittura, riconoscimento vocale con riassunto delle registrazioni e fotoritocco AI. Sui dispositivi globali Xiaomi ha affiancato anche Gemini come backend, mentre l&#39;espansione ha gi\u00e0 coinvolto modelli come Xiaomi 15, Redmi Note 14 Pro+ 5G e varie serie Poco.<\/p><p>Il punto economico e strategico \u00e8 chiaro: Xiaomi ha annunciato un investimento di almeno $8,7 miliardi, circa 7,9 miliardi di euro, in AI nei prossimi tre anni. Per il 2026 la spesa R&amp;D annuale \u00e8 prevista intorno a 40 miliardi di yuan, cio\u00e8 circa 5,1 miliardi di euro.<\/p><p>Il risultato \u00e8 una piattaforma che non si limita pi\u00f9 a provare funzionalit\u00e0 AI, ma prova a farle convivere nello stesso ecosistema con chip, sistema operativo e servizi propri.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Xiao AI \u00e8 l&#39;assistente consumer storico di Xiaomi.<\/li><li>HyperAI integra traduzione, scrittura, voce e foto.<\/li><li>L&#39;espansione ha gi\u00e0 raggiunto anche fascia media e serie Poco.<\/li><li>Xiaomi investir\u00e0 almeno $8,7 miliardi, circa 7,9 miliardi di euro, in AI.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Spesa R&amp;D 2026<\/div>\n        <div class=\"rh-quickfacts-value\">40 miliardi di yuan, circa 5,1 miliardi di euro<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Backend globale<\/div>\n        <div class=\"rh-quickfacts-value\">Google Gemini<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Obiettivo<\/div>\n        <div class=\"rh-quickfacts-value\">Unire chip, OS e AI nello stesso dispositivo<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">La partita di Xiaomi non si gioca pi\u00f9 solo sui telefoni: il vero obiettivo \u00e8 trasformare l&#39;AI in una funzione di sistema, gi\u00e0 pronta per smartphone, casa connessa e auto elettriche.<\/div>\n        <div class=\"fbp5-info\">Il punto da seguire nei prossimi mesi \u00e8 la capacit\u00e0 di HyperOS 4 e miclaw di passare dalla demo al vero uso quotidiano, con tempi di risposta, affidabilit\u00e0 e gestione della privacy all&#39;altezza.<\/div>\n        \n      <\/section>\n    \n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Xiaomi accelera sull&#8217;intelligenza artificiale con MiMo, OmniVoice, HyperAI e miclaw: modelli open source, voce, agenti autonomi e API molto economiche.<\/p>\n","protected":false},"author":15,"featured_media":30823,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Xiaomi AI e LLM","footnotes":""},"categories":[480],"tags":[933,24],"class_list":["post-30824","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai","tag-xiaomi"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Xiaomi AI e LLM: tutti i modelli, funzioni e prezzi<\/title>\n<meta name=\"description\" content=\"Xiaomi accelera sull&#039;AI con MiMo, OmniVoice, HyperAI e miclaw: modelli open source, agenti autonomi, voce e costi API molto aggressivi.\" 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