{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-26T16:01:29.023Z","headline":"Qwen3.8-Flash-Next 开源：Qwen4 架构早期预览","description":"通义千问开源 Qwen3.8-Flash-Next，一款多模态 MoE 模型，也是 Qwen4 架构的早期预览。该模型采用 GDN + QSA 混合注意力等四项升级，总参数 125B，每 token 激活 6B，训练成本约为 Qwen3.7-Plus 的 1/9，编码与办公任务能力更强。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","url":"https://www.aioga.com/news/cmta2veap03nmrolwxllvp4ay/","mainEntityOfPage":"https://www.aioga.com/news/cmta2veap03nmrolwxllvp4ay/","datePublished":"2026-08-26T12:30:00.000Z","dateModified":"2026-08-26T12:30:00.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://qwen.ai/blog?id=qwen3.8-flash-next","https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay"],"canonicalUrl":"https://www.aioga.com/news/cmta2veap03nmrolwxllvp4ay/","directAnswer":{"@type":"Answer","text":"通义千问开源 Qwen3.8-Flash-Next，并将其定位为多模态 MoE 模型及 Qwen4 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阅读原文 via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","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-Next Open Source: Early Preview of Qwen4 Architecture","summary":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, a multimodal MoE model, is also an early preview of the Qwen4 architecture. This model adopts four upgrades including GDN + QSA hybrid attention, has a total of 125B parameters, 6B activations per token, and training costs about 1/9 of Qwen3.7-Plus, with stronger capabilities in coding and office tasks. 🔗 Read the original via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"Industry","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next Open Source: Early Preview of Qwen4 Architecture - Aioga AI News","description":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, a multimodal MoE model, is also an early preview of the Qwen4 architecture. This model adopts four upgrades including GDN + QSA hybri...","url":"https://www.aioga.com/en/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:42:39.695Z"},"ja":{"title":"Qwen3.8-Flash-Next オープンソース：Qwen4 アーキテクチャの早期プレビュー","summary":"通義千問オープンソース Qwen3.8-Flash-Next、マルチモーダル MoE モデルであり、Qwen4 アーキテクチャの初期プレビューでもあります。このモデルは GDN + QSA ハイブリッドアテンションなどの4つのアップグレードを採用しており、総パラメータ数は125Bで、1トークンあたりのアクティベーションは6B、トレーニングコストは Qwen3.7-Plus の約1/9で、エンコーディングおよびオフィス業務の能力が向上しています。 🔗 原文を読む via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"業界動向","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next オープンソース：Qwen4 アーキテクチャの早期プレビュー - Aioga AIニュース","description":"通義千問オープンソース Qwen3.8-Flash-Next、マルチモーダル MoE モデルであり、Qwen4 アーキテクチャの初期プレビューでもあります。このモデルは GDN + QSA ハイブリッドアテンションなどの4つのアップグレードを採用しており、総パラメータ数は125Bで、1トークンあたりのアクティベーションは6B、トレーニングコストは Qwen3...","url":"https://www.aioga.com/ja/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:42:52.053Z"},"ko":{"title":"Qwen3.8-Flash-Next 오픈소스: Qwen4 아키텍처 초기 프리뷰","summary":"통의천문 오픈소스 Qwen3.8-Flash-Next는 멀티모달 MoE 모델로, Qwen4 아키텍처의 초기 미리보기 버전이기도 합니다. 이 모델은 GDN + QSA 혼합 어텐션 등 네 가지 업그레이드를 적용하였으며, 총 파라미터 수 125B, 토큰당 활성화 6B, 학습 비용은 Qwen3.7-Plus의 약 1/9이며, 인코딩 및 오피스 작업 능력이 더 강력합니다. 🔗 원문 읽기 via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"업계 동향","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next 오픈소스: Qwen4 아키텍처 초기 프리뷰 - Aioga AI 뉴스","description":"통의천문 오픈소스 Qwen3.8-Flash-Next는 멀티모달 MoE 모델로, Qwen4 아키텍처의 초기 미리보기 버전이기도 합니다. 이 모델은 GDN + QSA 혼합 어텐션 등 네 가지 업그레이드를 적용하였으며, 총 파라미터 수 125B, 토큰당 활성화 6B, 학습 비용은 Qwen3.7-Plus의 약 1/9이며, 인코딩...","url":"https://www.aioga.com/ko/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:43:41.908Z"},"es":{"title":"Qwen3.8-Flash-Next de código abierto: vista previa temprana de la arquitectura Qwen4","summary":"Qwen3.8-Flash-Next de Tongyi Qianwen de código abierto, un modelo MoE multimodal, también es una vista previa temprana de la arquitectura Qwen4. 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Ce modèle adopte quatre améliorations, dont l'attention mixte GDN + QSA, avec un total de 125 milliards de paramètres, 6 milliards activés par token, et un coût d'entraînement d'environ 1/9 de celui de Qwen3.7-Plus, offrant de meilleures capacités pour les tâches de codage et de bureau. 🔗 Lire l'article original via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"Industrie","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next open source : aperçu précoce de l'architecture Qwen4 - Aioga Actualités IA","description":"Qwen3.8-Flash-Next open source de Tongyi Qianwen, un modèle MoE multimodal, est également un aperçu précoce de l'architecture Qwen4. Ce modèle adopte quatre améliorations, dont l'a...","url":"https://www.aioga.com/fr/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:44:30.679Z"},"de":{"title":"Qwen3.8-Flash-Next Open Source: Frühe Vorschau auf die Qwen4-Architektur","summary":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, ein multimodales MoE-Modell, ist auch eine frühe Vorschau auf die Qwen4-Architektur. Dieses Modell verwendet vier Upgrades, darunter GDN + QSA Hybrid Attention, hat insgesamt 125 Milliarden Parameter, 6 Milliarden Aktivierungen pro Token, Trainingskosten etwa 1/9 von Qwen3.7-Plus und stärkere Fähigkeiten bei Codierungs- und Office-Aufgaben. 🔗 Originaltext lesen via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next Open Source: Frühe Vorschau auf die Qwen4-Architektur - Aioga KI-News","description":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, ein multimodales MoE-Modell, ist auch eine frühe Vorschau auf die Qwen4-Architektur. 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Este modelo adota quatro melhorias, incluindo atenção mista GDN + QSA, tem 125B de parâmetros totais, ativa 6B por token, e o custo de treinamento é cerca de 1/9 do Qwen3.7-Plus, com capacidades mais fortes para codificação e tarefas de escritório. 🔗 Leia o texto completo via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next Código Aberto: Prévia Inicial da Arquitetura Qwen4 - Aioga Notícias de IA","description":"通义千问 open source Qwen3.8-Flash-Next, um modelo MoE multimodal, também é uma prévia inicial da arquitetura Qwen4. Este modelo adota quatro melhorias, incluindo atenção mista GDN + Q...","url":"https://www.aioga.com/pt-BR/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:45:10.737Z"},"ru":{"title":"Qwen3.8-Flash-Next открытый исходный код: ранний предварительный просмотр архитектуры Qwen4","summary":"Tongyi Qianwen открывает исходный код Qwen3.8-Flash-Next, многофункциональная MoE-модель, а также ранний предварительный просмотр архитектуры Qwen4. Эта модель использует четыре улучшения, включая смешанное внимание GDN + QSA, общая численность параметров 125B, активация 6B на токен, стоимость обучения примерно в 1/9 от Qwen3.7-Plus, с улучшенными возможностями в кодировании и офисных задачах. 🔗 Читать оригинал через AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next открытый исходный код: ранний предварительный просмотр архитектуры Qwen4 - Aioga Новости ИИ","description":"Tongyi Qianwen открывает исходный код Qwen3.8-Flash-Next, многофункциональная MoE-модель, а также ранний предварительный просмотр архитектуры Qwen4. Эта модель использует четыре ул...","url":"https://www.aioga.com/ru/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:45:20.695Z"},"ar":{"title":"Qwen3.8-Flash-Next مفتوح المصدر: معاينة مبكرة لهندسة Qwen4","summary":"Qwen3.8-Flash-Next مفتوح المصدر من Tongyi Qianwen، نموذج متعدد الوسائط MoE، وهو أيضًا معاينة مبكرة لبنية Qwen4. يعتمد هذا النموذج على أربع ترقيات مثل الانتباه الهجين GDN + QSA، بإجمالي معلمات 125 مليار، وتفعيل 6 مليارات لكل رمز، وتكلفة التدريب حوالي 1/9 من Qwen3.7-Plus، مع قدرات أقوى في الترميز ومهام المكاتب. 🔗 اقرأ النص الأصلي عبر AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next مفتوح المصدر: معاينة مبكرة لهندسة Qwen4 - Aioga أخبار الذكاء الاصطناعي","description":"Qwen3.8-Flash-Next مفتوح المصدر من Tongyi Qianwen، نموذج متعدد الوسائط MoE، وهو أيضًا معاينة مبكرة لبنية Qwen4. يعتمد هذا النموذج على أربع ترقيات مثل الانتباه الهجين GDN + QSA، بإج...","url":"https://www.aioga.com/ar/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:46:09.159Z"},"hi":{"title":"Qwen3.8-Flash-Next ओपन सोर्स: Qwen4 आर्किटेक्चर प्रारंभिक पूर्वावलोकन","summary":"通义千问开源 Qwen3.8-Flash-Next, एक बहु-मोडल MoE मॉडल है, और यह Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन भी है। इस मॉडल में GDN + QSA मिश्रित ध्यान सहित चार उन्नयन लागू किए गए हैं, कुल पैरामीटर 125B हैं, प्रत्येक टोकन पर 6B सक्रियता होती है, और प्रशिक्षण लागत लगभग Qwen3.7-Plus की 1/9 है, और यह एन्कोडिंग और कार्यालय कार्यों में अधिक सक्षम है। 🔗 मूल लेख पढ़ें via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next ओपन सोर्स: Qwen4 आर्किटेक्चर प्रारंभिक पूर्वावलोकन - Aioga AI समाचार","description":"通义千问开源 Qwen3.8-Flash-Next, एक बहु-मोडल MoE मॉडल है, और यह Qwen4 आर्किटेक्चर का प्रारंभिक पूर्वावलोकन भी है। इस मॉडल में GDN + QSA मिश्रित ध्यान सहित चार उन्नयन लागू किए गए हैं, कुल...","url":"https://www.aioga.com/hi/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:46:11.864Z"},"it":{"title":"Qwen3.8-Flash-Next open source: anteprima iniziale dell'architettura Qwen4","summary":"Qwen3.8-Flash-Next open source di Tongyi Qianwen, un modello MoE multimodale, è anche un'anteprima precoce dell'architettura Qwen4. Questo modello adotta quattro aggiornamenti tra cui l'attenzione mista GDN + QSA, ha un totale di 125 miliardi di parametri, 6 miliardi di attivazione per token, e un costo di addestramento circa 1/9 di Qwen3.7-Plus, con capacità più forti nei compiti di codifica e ufficio. 🔗 Leggi l'articolo originale via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next open source: anteprima iniziale dell'architettura Qwen4 - Aioga Notizie IA","description":"Qwen3.8-Flash-Next open source di Tongyi Qianwen, un modello MoE multimodale, è anche un'anteprima precoce dell'architettura Qwen4. Questo modello adotta quattro aggiornamenti tra...","url":"https://www.aioga.com/it/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:47:10.090Z"},"nl":{"title":"Qwen3.8-Flash-Next open source: vroege preview van de Qwen4-architectuur","summary":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, een multimodaal MoE-model, is ook een vroege preview van de Qwen4-architectuur. Dit model maakt gebruik van vier upgrades, waaronder GDN + QSA gecombineerde aandacht, met een totaal van 125 miljard parameters, 6 miljard activaties per token, en een trainingskosten van ongeveer 1/9 van Qwen3.7-Plus, met sterkere codering en kantoortaken mogelijkheden. 🔗 Lees het originele artikel via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next open source: vroege preview van de Qwen4-architectuur - Aioga AI-nieuws","description":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, een multimodaal MoE-model, is ook een vroege preview van de Qwen4-architectuur. Dit model maakt gebruik van vier upgrades, waaronder...","url":"https://www.aioga.com/nl/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:46:57.820Z"},"tr":{"title":"Qwen3.8-Flash-Next Açık Kaynak: Qwen4 Mimarisinin Erken Önizlemesi","summary":"Tongyi Qianwen açık kaynak Qwen3.8-Flash-Next, çok modlu bir MoE modelidir ve aynı zamanda Qwen4 mimarisinin erken bir önizlemesidir. Bu model, GDN + QSA karma dikkat gibi dört yükseltme kullanıyor, toplam parametre sayısı 125B, token başına aktivasyon 6B, eğitim maliyeti yaklaşık olarak Qwen3.7-Plus'ın 1/9'u kadar ve kodlama ile ofis görevlerindeki yetenekleri daha güçlüdür. 🔗 Orijinal yazıyı oku via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next Açık Kaynak: Qwen4 Mimarisinin Erken Önizlemesi - Aioga AI Haberleri","description":"Tongyi Qianwen açık kaynak Qwen3.8-Flash-Next, çok modlu bir MoE modelidir ve aynı zamanda Qwen4 mimarisinin erken bir önizlemesidir. Bu model, GDN + QSA karma dikkat gibi dört yük...","url":"https://www.aioga.com/tr/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:47:58.545Z"},"vi":{"title":"Qwen3.8-Flash-Next Mã nguồn mở: Xem trước sớm kiến trúc Qwen4","summary":"Thông nghĩa thiên vấn mã nguồn mở Qwen3.8-Flash-Next, một mô hình MoE đa phương thức, cũng là phiên bản xem trước sớm của kiến trúc Qwen4. Mô hình này sử dụng bốn nâng cấp bao gồm chú ý hỗn hợp GDN + QSA, tổng số tham số 125 tỷ, mỗi token kích hoạt 6 tỷ, chi phí huấn luyện khoảng một phần chín so với Qwen3.7-Plus, khả năng mã hóa và thực hiện các nhiệm vụ văn phòng mạnh hơn. 🔗 Đọc bản gốc qua AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next Mã nguồn mở: Xem trước sớm kiến trúc Qwen4 - Tin tức AI Aioga","description":"Thông nghĩa thiên vấn mã nguồn mở Qwen3.8-Flash-Next, một mô hình MoE đa phương thức, cũng là phiên bản xem trước sớm của kiến trúc Qwen4. Mô hình này sử dụng bốn nâng cấp bao gồm...","url":"https://www.aioga.com/vi/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:48:00.536Z"},"id":{"title":"Qwen3.8-Flash-Next Sumber Terbuka: Pratinjau Awal Arsitektur Qwen4","summary":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, sebuah model MoE multi-modal, juga merupakan pratinjau awal arsitektur Qwen4. Model ini menggunakan empat peningkatan termasuk GDN + QSA hybrid attention, dengan total parameter 125B, 6B aktivasi per token, dan biaya pelatihan sekitar 1/9 dari Qwen3.7-Plus, kemampuan untuk tugas pengkodean dan perkantoran lebih kuat. 🔗 Baca artikel asli via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next Sumber Terbuka: Pratinjau Awal Arsitektur Qwen4 - Berita AI Aioga","description":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, sebuah model MoE multi-modal, juga merupakan pratinjau awal arsitektur Qwen4. Model ini menggunakan empat peningkatan termasuk GDN +...","url":"https://www.aioga.com/id/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:48:44.005Z"},"th":{"title":"Qwen3.8-Flash-Next เปิดโค้ดต้นฉบับ: การพรีวิวสถาปัตยกรรม Qwen4 รุ่นแรก","summary":"Qwen3.8-Flash-Next ของ Tongyi Qianwen เป็นโมเดล MoE หลายรูปแบบ นอกจากนี้ยังเป็นภาพตัวอย่างแรกของสถาปัตยกรรม Qwen4 โมเดลนี้ใช้การอัปเกรดสี่อย่างรวมถึง GDN + QSA attention ผสม จำนวนพารามิเตอร์ทั้งหมด 125B ต่อ token เปิดใช้งาน 6B ค่าฝึกประมาณ 1/9 ของ Qwen3.7-Plus ความสามารถในการเข้ารหัสและงานสำนักงานก็แข็งแรงขึ้น 🔗 อ่านต้นฉบับ via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next เปิดโค้ดต้นฉบับ: การพรีวิวสถาปัตยกรรม Qwen4 รุ่นแรก - ข่าว AI Aioga","description":"Qwen3.8-Flash-Next ของ Tongyi Qianwen เป็นโมเดล MoE หลายรูปแบบ นอกจากนี้ยังเป็นภาพตัวอย่างแรกของสถาปัตยกรรม Qwen4 โมเดลนี้ใช้การอัปเกรดสี่อย่างรวมถึง GDN + QSA attention ผสม จำนวนพ...","url":"https://www.aioga.com/th/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:48:52.799Z"},"pl":{"title":"Qwen3.8-Flash-Next otwarte źródło: wczesny podgląd architektury Qwen4","summary":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, to wielomodalny model MoE, a także wczesna wersja zapoznawcza architektury Qwen4. Model ten wykorzystuje cztery ulepszenia, w tym hybrydową uwagę GDN + QSA, ma łączną liczbę parametrów 125 miliardów, aktywuje 6 miliardów na token, a koszt treningu wynosi około 1/9 kosztu Qwen3.7-Plus, z większymi możliwościami w zadaniach kodowania i biurowych. 🔗 Przeczytaj oryginał via AIHOT · https://aihot.virxact.com/items/cmta2veap03nmrolwxllvp4ay","category":"行业动态","source":"Qwen：Blog Retrieval（API","aggregationSource":"Qwen：Blog Retrieval（API","pageTitle":"Qwen3.8-Flash-Next otwarte źródło: wczesny podgląd architektury Qwen4 - Aioga Wiadomości AI","description":"Tongyi Qianwen Open Source Qwen3.8-Flash-Next, to wielomodalny model MoE, a także wczesna wersja zapoznawcza architektury Qwen4. Model ten wykorzystuje cztery ulepszenia, w tym hyb...","url":"https://www.aioga.com/pl/news/cmta2veap03nmrolwxllvp4ay/","contentTranslated":true,"sourceHash":"dc7848b71f9b5579","translatedAt":"2026-08-26T13:49:40.714Z"}},"evidenceTier":"source-report","reviewStatus":"editorial-selected","indexable":true,"editorialCover":"/page-visuals/topic-timeline.png"}}