{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-26T16:01:29.023Z","headline":"通义千问发布 Qwen3.8-Flash，多模态 MoE 模型，Qwen4 架构早期预览","description":"通义千问发布 Qwen3.8-Flash，一款多模态 MoE 模型，也是 Qwen4 架构的早期预览，现已开放权重。该模型总参数量 125B，每 token 仅激活 6B，原生上下文 262K，可扩展至 1M；训练成本仅为 Qwen3.7-Plus 的 1/9，并在编码和办公任务上表现更优。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","url":"https://www.aioga.com/news/cmta2x13k03t3rolwmr6pzc67/","mainEntityOfPage":"https://www.aioga.com/news/cmta2x13k03t3rolwmr6pzc67/","datePublished":"2026-08-26T12:34:01.000Z","dateModified":"2026-08-26T12:34:01.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://x.com/Alibaba_Qwen/status/2092591393424515114","https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67"],"canonicalUrl":"https://www.aioga.com/news/cmta2x13k03t3rolwmr6pzc67/","directAnswer":{"@type":"Answer","text":"通义千问宣布发布 Qwen3.8-Flash。材料称其为多模态 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架构的早期预览，现已开放权重。该模型总参数量 125B，每 token 仅激活 6B，原生上下文 262K，可扩展至 1M；训练成本仅为 Qwen3.7-Plus 的 1/9，并在编码和办公任务上表现更优。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"通义千问发布 Qwen3.8-Flash，多模态 MoE 模型，Qwen4 架构早期预览 - Aioga AI资讯","description":"通义千问发布 Qwen3.8-Flash，一款多模态 MoE 模型，也是 Qwen4 架构的早期预览，现已开放权重。该模型总参数量 125B，每 token 仅激活 6B，原生上下文 262K，可扩展至 1M；训练成本仅为 Qwen3.7-Plus 的 1/9，并在编码和办公任务上表现更优。 🔗 阅读原文 via AIHOT · https://aihot....","url":"https://www.aioga.com/news/cmta2x13k03t3rolwmr6pzc67/","articleBody":["通义千问发布 Qwen3.8-Flash，多模态 MoE 模型，Qwen4 架构早期预览 这条更新来自 x.com，发布时间为 2026-08-26，Aioga 保留原文入口以便核验。","摘要：通义千问发布 Qwen3.8-Flash，一款多模态 MoE 模型，也是 Qwen4 架构的早期预览，现已开放权重。该模型总参数量 125B，每 token 仅激活 6B，原生上下文 262K，可扩展至 1M；训练成本仅为 Qwen3.7-Plus 的 1/9，并在编码和办公任务上表现更优。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","背景：公开材料披露，Qwen3.8-Flash 总参数量为 125B，每个 token 激活 6B；原生上下文长度为 262K，并可扩展至 1M。材料未说明具体扩展方式、适用条件或评测设置。","Aioga 观察：Aioga 判断，这次发布的核心信号在于将多模态 MoE、较长上下文与开放权重结合，并以 Qwen4 架构早期预览的定位对外呈现。其实际技术影响仍需结合后续模型文档、基准和部署反馈评估。","影响与后续：材料称，该模型训练成本为 Qwen3.7-Plus 的 1/9，并在编码和办公任务上表现更优。值得关注的是，相关成本与性能结论尚未在所给材料中附带测试方法、指标或任务集细节。 后续应关注通义千问是否披露权重许可、模型规格、长上下文扩展条件，以及编码和办公任务的具体基准结果。使用方在选型前也应核验多模态能力范围与实际部署成本。"]},"en":{"title":"Tongyi Qianwen releases Qwen3.8-Flash, a multimodal MoE model, early preview of Qwen4 architecture","summary":"Tongyi Qianwen has released Qwen3.8-Flash, a multi-modal MoE model, which is also an early preview of the Qwen4 architecture, and its weights are now open. The model has a total of 125B parameters, with only 6B activated per token, a native context of 262K, expandable to 1M; the training cost is only 1/9 of Qwen3.7-Plus, and it performs better in coding and office tasks. 🔗 Read the original via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"Industry","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen releases Qwen3.8-Flash, a multimodal MoE model, early preview of Qwen4 architecture - Aioga AI News","description":"Tongyi Qianwen has released Qwen3.8-Flash, a multi-modal MoE model, which is also an early preview of the Qwen4 architecture, and its weights are now open. The model has a total of...","url":"https://www.aioga.com/en/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:42:39.694Z"},"ja":{"title":"通義千問が Qwen3.8-Flash、多モーダル MoE モデル、Qwen4 アーキテクチャの早期プレビューを公開","summary":"通義千問は Qwen3.8-Flash を公開しました。これはマルチモーダル MoE モデルであり、Qwen4 アーキテクチャの早期プレビュー版でもあり、現在ウェイトが公開されています。このモデルの総パラメータ数は125Bで、各トークンでわずか6Bがアクティブになり、ネイティブコンテキストは262Kで、最大1Mまで拡張可能です。訓練コストは Qwen3.7-Plus の1/9 であり、コーディングやオフィス業務タスクでより優れた性能を発揮します。 🔗 原文を読む via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"業界動向","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"通義千問が Qwen3.8-Flash、多モーダル MoE モデル、Qwen4 アーキテクチャの早期プレビューを公開 - Aioga AIニュース","description":"通義千問は Qwen3.8-Flash を公開しました。これはマルチモーダル MoE モデルであり、Qwen4 アーキテクチャの早期プレビュー版でもあり、現在ウェイトが公開されています。このモデルの総パラメータ数は125Bで、各トークンでわずか6Bがアクティブになり、ネイティブコンテキストは262Kで、最大1Mまで拡張可能です。訓練コストは Qwen3.7-...","url":"https://www.aioga.com/ja/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:42:52.053Z"},"ko":{"title":"통의천문 Qwen3.8-Flash 발표, 다중 모드 MoE 모델, Qwen4 아키텍처 초기 미리보기","summary":"통의천문이 Qwen3.8-Flash를 출시했습니다. 이 모델은 다중 모드 MoE 모델이자 Qwen4 아키텍처의 초기 미리보기 버전으로, 현재 가중치가 공개되었습니다. 이 모델의 총 파라미터 수는 125B이며, 각 토큰당 6B만 활성화됩니다. 원시 컨텍스트는 262K이며 최대 1M까지 확장 가능합니다. 훈련 비용은 Qwen3.7-Plus의 1/9에 불과하며, 인코딩과 오피스 작업에서 더 우수한 성능을 보입니다. 🔗 원문 읽기 via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"업계 동향","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"통의천문 Qwen3.8-Flash 발표, 다중 모드 MoE 모델, Qwen4 아키텍처 초기 미리보기 - Aioga AI 뉴스","description":"통의천문이 Qwen3.8-Flash를 출시했습니다. 이 모델은 다중 모드 MoE 모델이자 Qwen4 아키텍처의 초기 미리보기 버전으로, 현재 가중치가 공개되었습니다. 이 모델의 총 파라미터 수는 125B이며, 각 토큰당 6B만 활성화됩니다. 원시 컨텍스트는 262K이며 최대 1M까지 확장 가능합니다. 훈련 비용은 Qwen...","url":"https://www.aioga.com/ko/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:43:41.908Z"},"es":{"title":"Tongyi Qianwen lanza Qwen3.8-Flash, modelo MoE multimodal, vista previa temprana de la arquitectura Qwen4","summary":"Tongyi Qianwen lanza Qwen3.8-Flash, un modelo MoE multimodal, que también es una vista previa temprana de la arquitectura Qwen4, y cuyos pesos ya están disponibles. Este modelo tiene un total de 125B parámetros, activando solo 6B por token, con un contexto nativo de 262K, ampliable hasta 1M; el costo de entrenamiento es solo 1/9 del de Qwen3.7-Plus, y tiene un mejor rendimiento en tareas de codificación y oficina. 🔗 Leer el artículo completo vía AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"Industria","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen lanza Qwen3.8-Flash, modelo MoE multimodal, vista previa temprana de la arquitectura Qwen4 - Aioga Noticias de IA","description":"Tongyi Qianwen lanza Qwen3.8-Flash, un modelo MoE multimodal, que también es una vista previa temprana de la arquitectura Qwen4, y cuyos pesos ya están disponibles. Este modelo tie...","url":"https://www.aioga.com/es/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:43:39.613Z"},"fr":{"title":"Tongyi Qianwen publie Qwen3.8-Flash, modèle MoE multimodal, aperçu précoce de l'architecture Qwen4","summary":"Tongyi Qianwen a publié Qwen3.8-Flash, un modèle MoE multimodal, qui est également un aperçu précoce de l'architecture Qwen4, et dont les poids sont désormais ouverts. Ce modèle compte au total 125 milliards de paramètres, n'activant que 6 milliards par token, avec un contexte natif de 262K, extensible jusqu'à 1M ; le coût de formation n'est que de 1/9 de celui du Qwen3.7-Plus, et il offre de meilleures performances sur les tâches de codage et de bureautique. 🔗 Lire l'article original via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"Industrie","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen publie Qwen3.8-Flash, modèle MoE multimodal, aperçu précoce de l'architecture Qwen4 - Aioga Actualités IA","description":"Tongyi Qianwen a publié Qwen3.8-Flash, un modèle MoE multimodal, qui est également un aperçu précoce de l'architecture Qwen4, et dont les poids sont désormais ouverts. Ce modèle co...","url":"https://www.aioga.com/fr/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:44:30.679Z"},"de":{"title":"Tongyi Qianwen veröffentlicht Qwen3.8-Flash, ein multimodales MoE-Modell, frühe Vorschau der Qwen4-Architektur","summary":"Tongyi Qianwen hat Qwen3.8-Flash veröffentlicht, ein multimodales MoE-Modell und auch ein früher Vorgeschmack auf die Qwen4-Architektur, dessen Gewichte jetzt verfügbar sind. Das Modell hat insgesamt 125 Milliarden Parameter, aktiviert jedoch pro Token nur 6 Milliarden, unterstützt native Kontexte von 262K und kann auf 1 Million erweitert werden; die Trainingskosten betragen nur 1/9 von Qwen3.7-Plus und es zeigt bessere Leistung bei Kodierungs- und Büroaufgaben. 🔗 Originalartikel lesen via AIHOT · https://aihot.verxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen veröffentlicht Qwen3.8-Flash, ein multimodales MoE-Modell, frühe Vorschau der Qwen4-Architektur - Aioga KI-News","description":"Tongyi Qianwen hat Qwen3.8-Flash veröffentlicht, ein multimodales MoE-Modell und auch ein früher Vorgeschmack auf die Qwen4-Architektur, dessen Gewichte jetzt verfügbar sind. Das M...","url":"https://www.aioga.com/de/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:44:31.033Z"},"pt-BR":{"title":"Tongyi Qianwen lança Qwen3.8-Flash, modelo multimodal MoE, pré-visualização inicial da arquitetura Qwen4","summary":"Tongyi Qianwen lançou o Qwen3.8-Flash, um modelo MoE multimodal, que também é uma prévia inicial da arquitetura Qwen4, e agora os pesos estão disponíveis. Este modelo possui um total de 125B de parâmetros, ativando apenas 6B por token, com contexto nativo de 262K, expansível até 1M; o custo de treinamento é apenas 1/9 do Qwen3.7-Plus, e apresenta desempenho melhor em tarefas de codificação e escritório. 🔗 Leia o artigo completo via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen lança Qwen3.8-Flash, modelo multimodal MoE, pré-visualização inicial da arquitetura Qwen4 - Aioga Notícias de IA","description":"Tongyi Qianwen lançou o Qwen3.8-Flash, um modelo MoE multimodal, que também é uma prévia inicial da arquitetura Qwen4, e agora os pesos estão disponíveis. Este modelo possui um tot...","url":"https://www.aioga.com/pt-BR/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:45:10.737Z"},"ru":{"title":"Tongyi Qianwen выпустила Qwen3.8-Flash, мультимодальную модель MoE, ранний предварительный просмотр архитектуры Qwen4","summary":"Tongyi Qianwen выпустила Qwen3.8-Flash, мультимодальную модель MoE, а также ранний превью архитектуры Qwen4, с открытыми весами. Общая численность параметров модели составляет 125B, при этом активируются лишь 6B на каждый токен, родной контекст — 262K, может быть расширен до 1M; затраты на обучение составляют всего 1/9 от Qwen3.7-Plus, при этом модель показывает лучшие результаты в задачах кодирования и офисных приложениях. 🔗 Читать оригинал через AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen выпустила Qwen3.8-Flash, мультимодальную модель MoE, ранний предварительный просмотр архитектуры Qwen4 - Aioga Новости ИИ","description":"Tongyi Qianwen выпустила Qwen3.8-Flash, мультимодальную модель MoE, а также ранний превью архитектуры Qwen4, с открытыми весами. Общая численность параметров модели составляет 125B...","url":"https://www.aioga.com/ru/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:45:20.694Z"},"ar":{"title":"توني تشيان ون تنشر Qwen3.8-Flash، نموذج MoE متعدد الوسائط، معاينة مبكرة لبنية Qwen4","summary":"أصدرت Tongyi Qianwen نموذج Qwen3.8-Flash، وهو نموذج MoE متعدد الأنماط، وهو أيضًا معاينة مبكرة لهندسة Qwen4، وتم الآن فتح الأوزان. يحتوي النموذج على إجمالي 125 مليار معامل، مع تفعيل 6 مليارات فقط لكل رمز، وسياق أصلي يبلغ 262 ألفًا، قابل للتوسع إلى 1 مليون؛ وتكلفة التدريب تبلغ فقط 1/9 مقارنة بـ Qwen3.7-Plus، ويقدم أداءً أفضل في مهام الترميز والمكاتب. 🔗 اقرأ المقال الأصلي عبر AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"توني تشيان ون تنشر Qwen3.8-Flash، نموذج MoE متعدد الوسائط، معاينة مبكرة لبنية Qwen4 - Aioga أخبار الذكاء الاصطناعي","description":"أصدرت Tongyi Qianwen نموذج Qwen3.8-Flash، وهو نموذج MoE متعدد الأنماط، وهو أيضًا معاينة مبكرة لهندسة Qwen4، وتم الآن فتح الأوزان. يحتوي النموذج على إجمالي 125 مليار معامل، مع تفعيل...","url":"https://www.aioga.com/ar/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:46:09.159Z"},"hi":{"title":"Tongyi Qianwen ने Qwen3.8-Flash, बहुमाध्यमीय MoE मॉडल, Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन जारी किया","summary":"Tongyi Qianwen ने Qwen3.8-Flash जारी किया, एक बहु-मोडल MoE मॉडल, जो Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन भी है, और अब इसका वेट खोला जा चुका है। इस मॉडल में कुल 125B पैरामीटर हैं, प्रत्येक टोकन पर केवल 6B सक्रिय होते हैं, मूल संदर्भ 262K है, और इसे 1M तक बढ़ाया जा सकता है; प्रशिक्षण लागत केवल Qwen3.7-Plus के 1/9 है, और यह एन्कोडिंग और कार्यालय कार्यों में बेहतर प्रदर्शन करता है। 🔗 मूल लेख पढ़ें via AIHOT · https://aihot.verxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen ने Qwen3.8-Flash, बहुमाध्यमीय MoE मॉडल, Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन जारी किया - Aioga AI समाचार","description":"Tongyi Qianwen ने Qwen3.8-Flash जारी किया, एक बहु-मोडल MoE मॉडल, जो Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन भी है, और अब इसका वेट खोला जा चुका है। इस मॉडल में कुल 125B पैरामीटर...","url":"https://www.aioga.com/hi/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:46:11.864Z"},"it":{"title":"Tongyi Qianwen rilascia Qwen3.8-Flash, modello MoE multimodale, anteprima iniziale dell'architettura Qwen4","summary":"Tongyi Qianwen ha rilasciato Qwen3.8-Flash, un modello MoE multimodale, che è anche un'anteprima della struttura Qwen4, e ora i pesi sono disponibili. Il modello ha un totale di 125 miliardi di parametri, con solo 6 miliardi attivi per token, un contesto nativo di 262K, estendibile fino a 1 milione; il costo di addestramento è solo 1/9 di quello di Qwen3.7-Plus, e offre prestazioni migliori nei compiti di codifica e ufficio. 🔗 Leggi l'articolo completo via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen rilascia Qwen3.8-Flash, modello MoE multimodale, anteprima iniziale dell'architettura Qwen4 - Aioga Notizie IA","description":"Tongyi Qianwen ha rilasciato Qwen3.8-Flash, un modello MoE multimodale, che è anche un'anteprima della struttura Qwen4, e ora i pesi sono disponibili. Il modello ha un totale di 12...","url":"https://www.aioga.com/it/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:47:10.089Z"},"nl":{"title":"Tongyi Qianwen brengt Qwen3.8-Flash uit, een multimodaal MoE-model, vroege preview van de Qwen4-architectuur","summary":"Tongyi Qianwen heeft Qwen3.8-Flash uitgebracht, een multimodaal MoE-model, en ook een vroege preview van de Qwen4-architectuur, waarvan de gewichten nu beschikbaar zijn. Het model heeft in totaal 125 miljard parameters, maar activeert slechts 6 miljard per token, heeft een native context van 262K, uitbreidbaar tot 1 miljoen; de trainingskosten zijn slechts 1/9 van die van Qwen3.7-Plus, en het presteert beter bij codering en kantoorwerk. 🔗 Lees het originele artikel via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen brengt Qwen3.8-Flash uit, een multimodaal MoE-model, vroege preview van de Qwen4-architectuur - Aioga AI-nieuws","description":"Tongyi Qianwen heeft Qwen3.8-Flash uitgebracht, een multimodaal MoE-model, en ook een vroege preview van de Qwen4-architectuur, waarvan de gewichten nu beschikbaar zijn. Het model...","url":"https://www.aioga.com/nl/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:46:57.820Z"},"tr":{"title":"Tongyi Qianwen, Qwen3.8-Flash ve çok modlu MoE modeli yayınladı, Qwen4 mimarisinin erken önizlemesi","summary":"Tongyi Qianwen Qwen3.8-Flash'ı yayımladı, çok modlu bir MoE modeli ve aynı zamanda Qwen4 mimarisinin erken bir önizlemesi, artık ağırlıklar açık. Bu modelin toplam parametre sayısı 125B, her token için yalnızca 6B etkinleştiriliyor, doğal bağlam 262K, 1M'ye kadar genişletilebilir; eğitim maliyeti yalnızca Qwen3.7-Plus'ın 1/9'u ve kodlama ile ofis görevlerinde daha iyi performans gösteriyor. 🔗 Orijinal metni oku via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen, Qwen3.8-Flash ve çok modlu MoE modeli yayınladı, Qwen4 mimarisinin erken önizlemesi - Aioga AI Haberleri","description":"Tongyi Qianwen Qwen3.8-Flash'ı yayımladı, çok modlu bir MoE modeli ve aynı zamanda Qwen4 mimarisinin erken bir önizlemesi, artık ağırlıklar açık. Bu modelin toplam parametre sayısı...","url":"https://www.aioga.com/tr/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:47:58.545Z"},"vi":{"title":"Tongyi Qianwen phát hành Qwen3.8-Flash, mô hình MoE đa phương thức, xem trước sớm kiến trúc Qwen4","summary":"Thông nghĩa thiên vấn phát hành Qwen3.8-Flash, một mô hình MoE đa phương thức, cũng là bản xem trước sớm của kiến trúc Qwen4, hiện đã mở quyền truy cập trọng số. Mô hình này có tổng số tham số 125 tỷ, mỗi token chỉ kích hoạt 6 tỷ, ngữ cảnh gốc 262K, có thể mở rộng đến 1 triệu; chi phí huấn luyện chỉ bằng 1/9 so với Qwen3.7-Plus, và thể hiện tốt hơn trong các tác vụ mã hóa và văn phòng. 🔗 Đọc bài gốc qua AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen phát hành Qwen3.8-Flash, mô hình MoE đa phương thức, xem trước sớm kiến trúc Qwen4 - Tin tức AI Aioga","description":"Thông nghĩa thiên vấn phát hành Qwen3.8-Flash, một mô hình MoE đa phương thức, cũng là bản xem trước sớm của kiến trúc Qwen4, hiện đã mở quyền truy cập trọng số. Mô hình này có tổn...","url":"https://www.aioga.com/vi/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:48:00.536Z"},"id":{"title":"Tongyi Qianwen merilis Qwen3.8-Flash, model MoE multimodal, pratinjau awal arsitektur Qwen4","summary":"Tongyi Qianwen merilis Qwen3.8-Flash, sebuah model MoE multimodal, juga merupakan pratinjau awal dari arsitektur Qwen4, dan sekarang bobotnya sudah dibuka. Model ini memiliki total 125 miliar parameter, hanya mengaktifkan 6 miliar per token, konteks asli 262K, dapat diperluas hingga 1M; biaya pelatihan hanya 1/9 dari Qwen3.7-Plus, dan performanya lebih baik pada tugas pengkodean dan perkantoran. 🔗 Baca artikel lengkapnya via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen merilis Qwen3.8-Flash, model MoE multimodal, pratinjau awal arsitektur Qwen4 - Berita AI Aioga","description":"Tongyi Qianwen merilis Qwen3.8-Flash, sebuah model MoE multimodal, juga merupakan pratinjau awal dari arsitektur Qwen4, dan sekarang bobotnya sudah dibuka. Model ini memiliki total...","url":"https://www.aioga.com/id/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:48:44.005Z"},"th":{"title":"Tongyi Qianwen เปิดตัว Qwen3.8-Flash โมเดล MoE หลายรูปแบบ ตัวอย่างการดูสถาปัตยกรรม Qwen4 ระยะแรก","summary":"Tongyi Qianwen เปิดตัว Qwen3.8-Flash ซึ่งเป็นโมเดล MoE แบบหลายโหมด และเป็นตัวอย่างการพรีวิวของสถาปัตยกรรม Qwen4 ตอนนี้ไฟล์เวทน้ำหนักพร้อมใช้งานแล้ว โมเดลนี้มีพารามิเตอร์รวม 125B โดยแต่ละ token จะเปิดใช้งานเพียง 6B รองรับคอนเท็กซ์ดั้งเดิม 262K และสามารถขยายได้ถึง 1M; ต้นทุนการฝึกเพียง 1/9 ของ Qwen3.7-Plus และมีประสิทธิภาพดีกว่าในงานด้านการเข้ารหัสและงานสำนักงาน 🔗 อ่านบทความต้นฉบับผ่าน AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen เปิดตัว Qwen3.8-Flash โมเดล MoE หลายรูปแบบ ตัวอย่างการดูสถาปัตยกรรม Qwen4 ระยะแรก - ข่าว AI Aioga","description":"Tongyi Qianwen เปิดตัว Qwen3.8-Flash ซึ่งเป็นโมเดล MoE แบบหลายโหมด และเป็นตัวอย่างการพรีวิวของสถาปัตยกรรม Qwen4 ตอนนี้ไฟล์เวทน้ำหนักพร้อมใช้งานแล้ว โมเดลนี้มีพารามิเตอร์รวม 125B โด...","url":"https://www.aioga.com/th/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:48:52.799Z"},"pl":{"title":"Tongyi Qianwen wydaje Qwen3.8-Flash, multimodalny model MoE, wczesny podgląd architektury Qwen4","summary":"Tongyi Qianwen opublikował Qwen3.8-Flash, wielomodalny model MoE, będący również wczesnym podglądem architektury Qwen4, którego wagi są teraz dostępne. Model ma łącznie 125 miliardów parametrów, przy czym dla każdego tokena aktywowanych jest tylko 6 miliardów, natywna długość kontekstu to 262 tysiące, możliwa do rozszerzenia do 1 miliona; koszt treningu to tylko 1/9 kosztu Qwen3.7-Plus, a model osiąga lepsze wyniki w zadaniach kodowania i biurowych. 🔗 Przeczytaj oryginał via AIHOT · https://aihot.virxact.com/items/cmta2x13k03t3rolwmr6pzc67","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Tongyi Qianwen wydaje Qwen3.8-Flash, multimodalny model MoE, wczesny podgląd architektury Qwen4 - Aioga Wiadomości AI","description":"Tongyi Qianwen opublikował Qwen3.8-Flash, wielomodalny model MoE, będący również wczesnym podglądem architektury Qwen4, którego wagi są teraz dostępne. Model ma łącznie 125 miliard...","url":"https://www.aioga.com/pl/news/cmta2x13k03t3rolwmr6pzc67/","contentTranslated":true,"sourceHash":"39ca290db73da528","translatedAt":"2026-08-26T13:49:40.713Z"}},"evidenceTier":"social-signal","reviewStatus":"editorial-selected","indexable":true,"editorialCover":"/page-visuals/topic-timeline.png"}}