{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-26T18:00:54.134Z","headline":"Qwen3.8-Flash 开源，Qwen4 架构预览","description":"通义千问发布 Qwen3.8-Flash，一款多模态 MoE 模型，作为 Qwen4 架构的早期预览并开放权重。该模型总参数 125B，每 token 仅激活 6B，训练成本仅为 Qwen3.7-Plus 的 1/9，性能全面超越后者。生产版 API 定价 $0.16/1M 输入 tokens 和 $0.47/1M 输出 tokens，原生上下文 262K，可扩展至 1M。","url":"https://www.aioga.com/news/cmta9ciqt07c1roj219h5liie/","mainEntityOfPage":"https://www.aioga.com/news/cmta9ciqt07c1roj219h5liie/","datePublished":"2026-08-26T15:32:46.000Z","dateModified":"2026-08-26T15:32:46.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://x.com/Alibaba_Qwen/status/2092636376990990503","https://aihot.virxact.com/items/cmta9ciqt07c1roj219h5liie"],"canonicalUrl":"https://www.aioga.com/news/cmta9ciqt07c1roj219h5liie/","directAnswer":{"@type":"Answer","text":"通义千问发布 Qwen3.8-Flash，定位为 Qwen4 架构的早期预览，并开放模型权重。该模型采用多模态 MoE 架构，公布总参数量为 125B、每 token 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🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmta9ciqt07c1roj219h5liie","category":"行业动态","source":"@Alibaba_Qwen","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash 开源，Qwen4 架构预览 - Aioga AI资讯","description":"通义千问发布 Qwen3.8-Flash，一款多模态 MoE 模型，作为 Qwen4 架构的早期预览并开放权重。该模型总参数 125B，每 token 仅激活 6B，训练成本仅为 Qwen3.7-Plus 的 1/9，性能全面超越后者。生产版 API 定价 $0.16/1M 输入 tokens 和 $0.47/1M 输出 tokens，原生上下文 262K，...","url":"https://www.aioga.com/news/cmta9ciqt07c1roj219h5liie/","articleBody":["Qwen3.8-Flash 开源，Qwen4 架构预览 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，作为 Qwen4 架构的早期预览并开放权重。该模型总参数 125B，每 token 仅激活 6B，训练成本仅为 Qwen3.7-Plus 的 1/9，性能全面超越后者。生产版 API 定价 $0.16/1M 输入 tokens 和 $0.47/1M 输出 tokens，原生上下文 262K，可扩展至 1M。","背景：背景分析：模型与研究类动态需要结合能力边界、开放方式、成本、可用性和真实任务表现判断，单项指标领先不等于已经形成稳定采用。","Aioga 观察：Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","影响与后续：影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。 后续观察：继续观察官方文档、实际可用性、价格变化、开发者反馈和竞品回应。"]},"en":{"title":"Qwen3.8-Flash Open Source, Qwen4 Architecture Preview","summary":"Tongyi Qianwen released Qwen3.8-Flash, a multimodal MoE model, serving as an early preview of the Qwen4 architecture and open-sourced weights. The model has a total of 125B parameters, with only 6B activated per token, and training costs are only 1/9 of Qwen3.7-Plus, with performance comprehensively surpassing the latter. The production API is priced at $0.16 per 1M input tokens and $0.47 per 1M output tokens, with a native context of 262K, scalable up to 1M.","category":"Industry","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash Open Source, Qwen4 Architecture Preview - Aioga AI News","description":"Tongyi Qianwen released Qwen3.8-Flash, a multimodal MoE model, serving as an early preview of the Qwen4 architecture and open-sourced weights. The model has a total of 125B paramet...","url":"https://www.aioga.com/en/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:22:27.278Z"},"ja":{"title":"Qwen3.8-Flash オープンソース、Qwen4 アーキテクチャプレビュー","summary":"通義千問は Qwen3.8-Flash をリリースしました。これはマルチモーダル MoE モデルで、Qwen4 アーキテクチャの初期プレビューとして重みを公開しています。このモデルの総パラメータは125Bで、1トークンあたりわずか6Bをアクティブにし、トレーニングコストは Qwen3.7-Plus の1/9 で、性能は全面的に後者を上回ります。プロダクション版 API の料金は、入力トークン1Mあたり $0.16、出力トークン1Mあたり $0.47 で、ネイティブコンテキストは262K、最大で1Mまで拡張可能です。","category":"業界動向","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash オープンソース、Qwen4 アーキテクチャプレビュー - Aioga AIニュース","description":"通義千問は Qwen3.8-Flash をリリースしました。これはマルチモーダル MoE モデルで、Qwen4 アーキテクチャの初期プレビューとして重みを公開しています。このモデルの総パラメータは125Bで、1トークンあたりわずか6Bをアクティブにし、トレーニングコストは Qwen3.7-Plus の1/9 で、性能は全面的に後者を上回ります。プロダクション...","url":"https://www.aioga.com/ja/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:22:46.614Z"},"ko":{"title":"Qwen3.8-Flash 오픈소스, Qwen4 아키텍처 미리보기","summary":"통의천문에서 Qwen3.8-Flash를 발표했으며, 이는 멀티모달 MoE 모델로 Qwen4 아키텍처의 초기 프리뷰이자 가중치를 공개한 모델입니다. 이 모델의 전체 파라미터는 125B이며, 각 토큰당 활성화되는 파라미터는 6B에 불과하고, 학습 비용은 Qwen3.7-Plus의 1/9에 불과하며, 성능은 전반적으로 후자를 능가합니다. 생산 버전 API 가격은 입력 토큰 1M당 $0.16, 출력 토큰 1M당 $0.47이며, 기본 컨텍스트는 262K로, 최대 1M까지 확장 가능합니다.","category":"업계 동향","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash 오픈소스, Qwen4 아키텍처 미리보기 - Aioga AI 뉴스","description":"통의천문에서 Qwen3.8-Flash를 발표했으며, 이는 멀티모달 MoE 모델로 Qwen4 아키텍처의 초기 프리뷰이자 가중치를 공개한 모델입니다. 이 모델의 전체 파라미터는 125B이며, 각 토큰당 활성화되는 파라미터는 6B에 불과하고, 학습 비용은 Qwen3.7-Plus의 1/9에 불과하며, 성능은 전반적으로 후자를 능...","url":"https://www.aioga.com/ko/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:23:42.231Z"},"es":{"title":"Qwen3.8-Flash de código abierto, vista previa de la arquitectura Qwen4","summary":"Tongyi Qianwen lanzó Qwen3.8-Flash, un modelo MoE multimodal, como una vista previa temprana de la arquitectura Qwen4 y con pesos abiertos. Este modelo tiene un total de 125 mil millones de parámetros, activando solo 6 mil millones por token, con un costo de entrenamiento solo 1/9 del de Qwen3.7-Plus, superando en rendimiento a este último en todos los aspectos. El precio de la API de producción es de $0.16 por 1M de tokens de entrada y $0.47 por 1M de tokens de salida, con un contexto nativo de 262K, ampliable hasta 1M.","category":"Industria","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash de código abierto, vista previa de la arquitectura Qwen4 - Aioga Noticias de IA","description":"Tongyi Qianwen lanzó Qwen3.8-Flash, un modelo MoE multimodal, como una vista previa temprana de la arquitectura Qwen4 y con pesos abiertos. Este modelo tiene un total de 125 mil mi...","url":"https://www.aioga.com/es/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:23:52.372Z"},"fr":{"title":"Qwen3.8-Flash open source, aperçu de l'architecture Qwen4","summary":"Tongyi Qianwen a publié Qwen3.8-Flash, un modèle MoE multimodal, comme aperçu précoce de l'architecture Qwen4 et en ouvrant les poids. Ce modèle compte 125 milliards de paramètres au total, n'active que 6 milliards par token, le coût d'entraînement n'est que le 1/9 de celui de Qwen3.7-Plus, et ses performances dépassent globalement celles de ce dernier. Le prix de l'API en version de production est de 0,16 $/1M tokens d'entrée et de 0,47 $/1M tokens de sortie, avec un contexte natif de 262K, extensible jusqu'à 1M.","category":"Industrie","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash open source, aperçu de l'architecture Qwen4 - Aioga Actualités IA","description":"Tongyi Qianwen a publié Qwen3.8-Flash, un modèle MoE multimodal, comme aperçu précoce de l'architecture Qwen4 et en ouvrant les poids. Ce modèle compte 125 milliards de paramètres...","url":"https://www.aioga.com/fr/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:24:47.780Z"},"de":{"title":"Qwen3.8-Flash Open Source, Qwen4 Architektur Vorschau","summary":"Tongyi Qianwen hat Qwen3.8-Flash veröffentlicht, ein multimodales MoE-Modell, das als frühe Vorschau der Qwen4-Architektur dient und dessen Gewichte offenlegt. Das Modell hat insgesamt 125 Mrd. Parameter, es werden pro Token nur 6 Mrd. aktiviert, die Trainingskosten betragen nur 1/9 von Qwen3.7-Plus, und die Leistung übertrifft letztere in allen Bereichen. Der Produktions-API-Preis beträgt $0,16 pro 1 Mio. Eingabe-Tokens und $0,47 pro 1 Mio. Ausgabe-Tokens, der native Kontext beträgt 262K und kann auf 1 Mio. erweitert werden.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash Open Source, Qwen4 Architektur Vorschau - Aioga KI-News","description":"Tongyi Qianwen hat Qwen3.8-Flash veröffentlicht, ein multimodales MoE-Modell, das als frühe Vorschau der Qwen4-Architektur dient und dessen Gewichte offenlegt. Das Modell hat insge...","url":"https://www.aioga.com/de/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:24:48.431Z"},"pt-BR":{"title":"Qwen3.8-Flash de código aberto, pré-visualização da arquitetura Qwen4","summary":"Tongyi Qianwen lançou o Qwen3.8-Flash, um modelo MoE multimodal, como uma prévia inicial da arquitetura Qwen4 e com pesos abertos. O modelo possui um total de 125 bilhões de parâmetros, com apenas 6 bilhões ativados por token, custo de treinamento equivalente a apenas 1/9 do Qwen3.7-Plus, e desempenho que supera completamente este último. O preço da API da versão de produção é $0,16/1M tokens de entrada e $0,47/1M tokens de saída, com contexto nativo de 262K, expansível até 1M.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash de código aberto, pré-visualização da arquitetura Qwen4 - Aioga Notícias de IA","description":"Tongyi Qianwen lançou o Qwen3.8-Flash, um modelo MoE multimodal, como uma prévia inicial da arquitetura Qwen4 e com pesos abertos. O modelo possui um total de 125 bilhões de parâme...","url":"https://www.aioga.com/pt-BR/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:25:41.498Z"},"ru":{"title":"Qwen3.8-Flash открытый исходный код, предварительный просмотр архитектуры Qwen4","summary":"Tongyi Qianwen выпустила Qwen3.8-Flash, мультимодальную модель MoE, в качестве раннего превью архитектуры Qwen4 с открытым доступом к весам. Общие параметры модели составляют 125B, при этом для каждого токена активируются только 6B, а стоимость обучения составляет лишь 1/9 от стоимости Qwen3.7-Plus, при этом производительность полностью превосходит последнюю. Цены на производственный API: $0.16 за 1M входных токенов и $0.47 за 1M выходных токенов, родной контекст 262K, с возможностью расширения до 1M.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash открытый исходный код, предварительный просмотр архитектуры Qwen4 - Aioga Новости ИИ","description":"Tongyi Qianwen выпустила Qwen3.8-Flash, мультимодальную модель MoE, в качестве раннего превью архитектуры Qwen4 с открытым доступом к весам. Общие параметры модели составляют 125B,...","url":"https://www.aioga.com/ru/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:25:53.652Z"},"ar":{"title":"Qwen3.8-فلاش مفتوح المصدر، معاينة هيكل Qwen4","summary":"أصدرت Tongyi Qianwen نموذج Qwen3.8-Flash، وهو نموذج MoE متعدد الوسائط، كمعاينة مبكرة لبنية Qwen4 وفتح الأوزان. يحتوي هذا النموذج على إجمالي 125 مليار معلمة، ويفعل فقط 6 مليارات لكل توكن، وتكلفة التدريب هي فقط 1/9 من Qwen3.7-Plus، والأداء يتفوق عليه بالكامل. سعر واجهة برمجة التطبيقات للإصدار الإنتاجي هو 0.16 دولار لكل 1 مليون توكنات إدخال و0.47 دولار لكل 1 مليون توكنات إخراج، وسياق أصلي يبلغ 262 ألف، ويمكن توسيعه ليصل إلى 1 مليون.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-فلاش مفتوح المصدر، معاينة هيكل Qwen4 - Aioga أخبار الذكاء الاصطناعي","description":"أصدرت Tongyi Qianwen نموذج Qwen3.8-Flash، وهو نموذج MoE متعدد الوسائط، كمعاينة مبكرة لبنية Qwen4 وفتح الأوزان. يحتوي هذا النموذج على إجمالي 125 مليار معلمة، ويفعل فقط 6 مليارات لكل...","url":"https://www.aioga.com/ar/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:26:53.177Z"},"hi":{"title":"Qwen3.8-फ्लैश ओपन सोर्स, Qwen4 आर्किटेक्चर प्रीव्यू","summary":"Tongyi Qianwen ने Qwen3.8-Flash जारी किया, एक बहु-आधार MoE मॉडल, जो Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन है और इसका वज़न खुला है। इस मॉडल में कुल 125B पैरामीटर हैं, प्रति टोकन केवल 6B सक्रिय होते हैं, प्रशिक्षण लागत केवल Qwen3.7-Plus की 1/9 है, और प्रदर्शन व्यापक रूप से बेहतर है। उत्पादन संस्करण API की कीमत $0.16/1M इनपुट टोकन और $0.47/1M आउटपुट टोकन है, मूल संदर्भ 262K है, और इसे 1M तक बढ़ाया जा सकता है।","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-फ्लैश ओपन सोर्स, Qwen4 आर्किटेक्चर प्रीव्यू - Aioga AI समाचार","description":"Tongyi Qianwen ने Qwen3.8-Flash जारी किया, एक बहु-आधार MoE मॉडल, जो Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन है और इसका वज़न खुला है। इस मॉडल में कुल 125B पैरामीटर हैं, प्रति टोक...","url":"https://www.aioga.com/hi/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:27:07.652Z"},"it":{"title":"Qwen3.8-Flash open source, anteprima dell'architettura Qwen4","summary":"Tongyi Qianwen ha rilasciato Qwen3.8-Flash, un modello MoE multimodale, come anteprima precoce dell'architettura Qwen4 e con pesi aperti. Il modello ha un totale di 125 miliardi di parametri, con solo 6 miliardi attivati per token, il costo di addestramento è solo 1/9 di quello di Qwen3.7-Plus e le prestazioni superano complessivamente quest'ultimo. Il prezzo dell'API in produzione è $0,16/1M token di input e $0,47/1M token di output, con contesto nativo di 262K, espandibile fino a 1M.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash open source, anteprima dell'architettura Qwen4 - Aioga Notizie IA","description":"Tongyi Qianwen ha rilasciato Qwen3.8-Flash, un modello MoE multimodale, come anteprima precoce dell'architettura Qwen4 e con pesi aperti. Il modello ha un totale di 125 miliardi di...","url":"https://www.aioga.com/it/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:28:05.370Z"},"nl":{"title":"Qwen3.8-Flash open source, Qwen4 architectuur preview","summary":"Tongyi Qianwen heeft Qwen3.8-Flash uitgebracht, een multimodale MoE-model, als vroege preview van de Qwen4-architectuur en de gewichten zijn beschikbaar gesteld. Het model heeft in totaal 125 miljard parameters, activeert slechts 6 miljard per token, de trainingskosten zijn slechts 1/9 van Qwen3.7-Plus, en de prestaties overstijgen die van laatstgenoemde volledig. De productieversie van de API kost $0,16 per 1 miljoen invoertokens en $0,47 per 1 miljoen uitvoertokens, met een native context van 262K, uitbreidbaar tot 1 miljoen.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash open source, Qwen4 architectuur preview - Aioga AI-nieuws","description":"Tongyi Qianwen heeft Qwen3.8-Flash uitgebracht, een multimodale MoE-model, als vroege preview van de Qwen4-architectuur en de gewichten zijn beschikbaar gesteld. Het model heeft in...","url":"https://www.aioga.com/nl/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:28:02.308Z"},"tr":{"title":"Qwen3.8-Flash açık kaynak, Qwen4 mimari önizlemesi","summary":"Tongyi Qianwen, Qwen3.8-Flash adlı çok modlu MoE modelini yayımladı; bu model, Qwen4 mimarisinin erken bir önizlemesi olarak işlev görmekte ve ağırlıkları açık olarak sunulmaktadır. Modelin toplam parametre sayısı 125 milyar olup, her token için yalnızca 6 milyar aktif edilir; eğitim maliyeti ise Qwen3.7-Plus'ın 1/9'u kadardır ve performansı tamamen onu aşmaktadır. Üretim sürümü API fiyatlandırması girdi token başına 0,16$/1M ve çıktı token başına 0,47$/1M olup, yerel bağlam 262K’dır ve 1M'ye kadar ölçeklendirilebilir.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash açık kaynak, Qwen4 mimari önizlemesi - Aioga AI Haberleri","description":"Tongyi Qianwen, Qwen3.8-Flash adlı çok modlu MoE modelini yayımladı; bu model, Qwen4 mimarisinin erken bir önizlemesi olarak işlev görmekte ve ağırlıkları açık olarak sunulmaktadır...","url":"https://www.aioga.com/tr/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:29:02.725Z"},"vi":{"title":"Qwen3.8-Flash mã nguồn mở, xem trước kiến trúc Qwen4","summary":"Tongyi Qianwen phát hành Qwen3.8-Flash, một mô hình MoE đa mô thức, như bản xem trước sớm của kiến trúc Qwen4 và mở khóa trọng số. Mô hình này có tổng số 125 tỷ tham số, mỗi token chỉ kích hoạt 6 tỷ, chi phí đào tạo chỉ bằng 1/9 so với Qwen3.7-Plus, hiệu năng vượt trội so với phiên bản trước. Giá API phiên bản sản xuất $0.16/1 triệu token đầu vào và $0.47/1 triệu token đầu ra, ngữ cảnh gốc 262K, có thể mở rộng lên 1 triệu.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash mã nguồn mở, xem trước kiến trúc Qwen4 - Tin tức AI Aioga","description":"Tongyi Qianwen phát hành Qwen3.8-Flash, một mô hình MoE đa mô thức, như bản xem trước sớm của kiến trúc Qwen4 và mở khóa trọng số. Mô hình này có tổng số 125 tỷ tham số, mỗi token...","url":"https://www.aioga.com/vi/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:29:01.452Z"},"id":{"title":"Qwen3.8-Flash open source, pratinjau arsitektur Qwen4","summary":"Tongyi Qianwen merilis Qwen3.8-Flash, sebuah model MoE multimodal, sebagai pratinjau awal dari arsitektur Qwen4 dan membuka bobotnya. Model ini memiliki total 125 miliar parameter, setiap token hanya mengaktifkan 6 miliar, biaya pelatihan hanya 1/9 dari Qwen3.7-Plus, dengan kinerja yang secara keseluruhan melampaui pendahulunya. Harga API versi produksi adalah $0,16/1 juta token input dan $0,47/1 juta token output, konteks asli 262K, dapat diperluas hingga 1 juta.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash open source, pratinjau arsitektur Qwen4 - Berita AI Aioga","description":"Tongyi Qianwen merilis Qwen3.8-Flash, sebuah model MoE multimodal, sebagai pratinjau awal dari arsitektur Qwen4 dan membuka bobotnya. Model ini memiliki total 125 miliar parameter,...","url":"https://www.aioga.com/id/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:29:59.992Z"},"th":{"title":"Qwen3.8-Flash โอเพ่นซอร์ส, พรีวิวสถาปัตยกรรม Qwen4","summary":"Tongyi Qianwen เปิดตัว Qwen3.8-Flash ซึ่งเป็นโมเดล MoE แบบหลายโหมด เป็นตัวอย่างการแสดงผลล่วงหน้าของสถาปัตยกรรม Qwen4 และเปิดให้น้ำหนักของโมเดลใช้งานได้ โมเดลนี้มีพารามิเตอร์ทั้งหมด 125 พันล้าน แต่ละโทเค็นจะเปิดใช้งานเพียง 6 พันล้าน ต้นทุนการฝึกเพียง 1/9 ของ Qwen3.7-Plus และประสิทธิภาพโดยรวมเหนือกว่าอย่างครบถ้วน ราคาสำหรับ API เวอร์ชันผลิตคือ $0.16 ต่อ 1 ล้านโทเค็นอินพุต และ $0.47 ต่อ 1 ล้านโทเค็นเอาต์พุต รองรับบริบทต้นกำเนิด 262K และสามารถขยายได้ถึง 1M","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash โอเพ่นซอร์ส, พรีวิวสถาปัตยกรรม Qwen4 - ข่าว AI Aioga","description":"Tongyi Qianwen เปิดตัว Qwen3.8-Flash ซึ่งเป็นโมเดล MoE แบบหลายโหมด เป็นตัวอย่างการแสดงผลล่วงหน้าของสถาปัตยกรรม Qwen4 และเปิดให้น้ำหนักของโมเดลใช้งานได้ โมเดลนี้มีพารามิเตอร์ทั้งหมด...","url":"https://www.aioga.com/th/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:30:01.145Z"},"pl":{"title":"Qwen3.8-Flash otwarte źródło, podgląd architektury Qwen4","summary":"Tongyi Qianwen wydał Qwen3.8-Flash, wielomodalny model MoE, jako wczesny podgląd architektury Qwen4 i udostępnił wagi. Model ma łącznie 125 miliardów parametrów, przy czym tylko 6 miliardów aktywuje się na token, a koszt treningu wynosi tylko 1/9 kosztu Qwen3.7-Plus, a jego wydajność całkowicie przewyższa tego ostatniego. Cena API w wersji produkcyjnej to $0,16/1M tokenów wejściowych i $0,47/1M tokenów wyjściowych, natywna długość kontekstu wynosi 262K i może być zwiększona do 1M.","category":"行业动态","source":"@Alibaba_Qwen)","aggregationSource":"@Alibaba_Qwen","pageTitle":"Qwen3.8-Flash otwarte źródło, podgląd architektury Qwen4 - Aioga Wiadomości AI","description":"Tongyi Qianwen wydał Qwen3.8-Flash, wielomodalny model MoE, jako wczesny podgląd architektury Qwen4 i udostępnił wagi. Model ma łącznie 125 miliardów parametrów, przy czym tylko 6...","url":"https://www.aioga.com/pl/news/cmta9ciqt07c1roj219h5liie/","contentTranslated":true,"sourceHash":"8865a3b4652ddd4b","translatedAt":"2026-08-26T17:31:06.136Z"}},"evidenceTier":"social-signal","reviewStatus":"editorial-selected","indexable":true,"editorialCover":"/page-visuals/topic-timeline.png"}}