{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-28T06:20:51.496Z","headline":"蚂蚁百灵发布Ling-3.0-flash原生混合推理模型","description":"蚂蚁百灵发布新一代原生混合推理模型Ling-3.0-flash，总参数量124B，激活参数量仅5.1B，在传统推理、指令遵循与长文本等指标上对标甚至超越上一代旗舰Ring-2.6-1T。模型采用原生混合线性注意力架构与1/64稀疏MoE，并扩展至10，000+可交互训练环境，长输入下TTFT降低60%至80%以上。","url":"https://www.aioga.com/news/cmrz0ch8700m7roeygv4eshdv/","mainEntityOfPage":"https://www.aioga.com/news/cmrz0ch8700m7roeygv4eshdv/","datePublished":"2026-07-24T13:40:30.000Z","dateModified":"2026-07-24T13:40:30.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://mp.weixin.qq.com/s/5ic54FCsy334JJsQcyBr1g","https://aihot.virxact.com/items/cmrz0ch8700m7roeygv4eshdv"],"canonicalUrl":"https://www.aioga.com/news/cmrz0ch8700m7roeygv4eshdv/","directAnswer":{"@type":"Answer","text":"蚂蚁百灵发布原生混合推理模型Ling-3.0-flash，总参数量124B、激活参数量5.1B，并称其在传统推理、指令遵循和长文本等指标上对标甚至超越Ring-2.6-1T。","url":"https://www.aioga.com/news/cmrz0ch8700m7roeygv4eshdv/","dateCreated":"2026-07-24T13:40:30.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"公众号：蚂蚁百灵（Ling） source article","url":"https://mp.weixin.qq.com/s/5ic54FCsy334JJsQcyBr1g","datePublished":"2026-07-24T13:40:30.000Z","provider":{"@type":"Organization","name":"公众号：蚂蚁百灵（Ling）","url":"https://mp.weixin.qq.com/s/5ic54FCsy334JJsQcyBr1g"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrz0ch8700m7roeygv4eshdv","datePublished":"2026-07-24T13:40:30.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrz0ch8700m7roeygv4eshdv"}}],"aggregationSource":"公众号：蚂蚁百灵（Ling）","originalPublisher":{"name":"公众号：蚂蚁百灵（Ling）","url":"https://mp.weixin.qq.com/s/5ic54FCsy334JJsQcyBr1g"},"article":{"id":"cmrz0ch8700m7roeygv4eshdv","slug":"cmrz0ch8700m7roeygv4eshdv","url":"https://www.aioga.com/news/cmrz0ch8700m7roeygv4eshdv/","title":"蚂蚁百灵发布Ling-3.0-flash原生混合推理模型","title_en":"Ling-3.0-flash：智以密胜","summary":"蚂蚁百灵发布新一代原生混合推理模型Ling-3.0-flash，总参数量124B，激活参数量仅5.1B，在传统推理、指令遵循与长文本等指标上对标甚至超越上一代旗舰Ring-2.6-1T。模型采用原生混合线性注意力架构与1/64稀疏MoE，并扩展至10，000+可交互训练环境，长输入下TTFT降低60%至80%以上。","source":"公众号：蚂蚁百灵（Ling）","sourceUrl":"https://mp.weixin.qq.com/s/5ic54FCsy334JJsQcyBr1g","aiHotUrl":"https://aihot.virxact.com/items/cmrz0ch8700m7roeygv4eshdv","publishedAt":"2026-07-24T13:40:30.000Z","category":"模型更新","score":75,"selected":true,"articleBody":["蚂蚁百灵发布新一代原生混合推理模型Ling-3.0-flash，总参数量124B，激活参数量仅5.1B，在传统推理、指令遵循与长文本等指标上对标甚至超越上一代旗舰Ring-2.6-1T。","模型采用原生混合线性注意力架构与1/64稀疏MoE，并扩展至10，000+可交互训练环境，长输入下TTFT降低60%至80%以上。"],"articleImages":[],"mediaStatus":"none","articleBodyZh":[],"translationStatus":"","bodyOrigin":"summary-fallback","editorial":{"summary":"蚂蚁百灵发布原生混合推理模型Ling-3.0-flash，总参数量124B、激活参数量5.1B，并称其在传统推理、指令遵循和长文本等指标上对标甚至超越Ring-2.6-1T。","background":"公开材料显示，该模型采用原生混合线性注意力架构与1/64稀疏MoE，训练范围扩展至超过10,000个可交互环境；在长输入场景下，TTFT降低60%至80%以上。","viewpoint":"Aioga 判断，Ling-3.0-flash的重点是以较低激活参数量兼顾推理、指令遵循和长文本表现，但现有材料未提供具体评测集、测试条件及第三方验证结果。","implications":"Aioga 判断，混合线性注意力与稀疏MoE可能有助于改善长输入处理效率；不过，官方披露的指标能否稳定复现，以及不同任务下的实际表现，仍值得关注。","nextStep":"后续可重点关注完整技术报告、评测方法、基准成绩与测试环境，并核验TTFT降幅的对照模型、输入长度及部署条件，以判断相关性能表述的适用范围。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-26T06:10:57.422Z","sourceHash":"a03d921832daf8ca","review":{"approved":true,"groundedness":96,"clarity":90,"duplicationRisk":20,"blockingIssues":[],"notes":["“TTFT降低60%至80%以上”沿用了来源表述，但区间上限“80%以上”略显含混；可改为更忠实且清晰的“来源称，长输入下TTFT降幅为60%，部分场景超过80%”，前提是原文语境支持。","“公开材料显示”可进一步明确为“蚂蚁百灵官方材料显示”，以清楚标示该性能信息来自发布方而非第三方验证。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["模型更新","公众号：蚂蚁百灵（Ling）"],"translations":{"zh-CN":{"title":"蚂蚁百灵发布Ling-3.0-flash原生混合推理模型","summary":"蚂蚁百灵发布新一代原生混合推理模型Ling-3.0-flash，总参数量124B，激活参数量仅5.1B，在传统推理、指令遵循与长文本等指标上对标甚至超越上一代旗舰Ring-2.6-1T。模型采用原生混合线性注意力架构与1/64稀疏MoE，并扩展至10，000+可交互训练环境，长输入下TTFT降低60%至80%以上。","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"蚂蚁百灵发布Ling-3.0-flash原生混合推理模型 - Aioga AI资讯","description":"蚂蚁百灵发布新一代原生混合推理模型Ling-3.0-flash，总参数量124B，激活参数量仅5.1B，在传统推理、指令遵循与长文本等指标上对标甚至超越上一代旗舰Ring-2.6-1T。模型采用原生混合线性注意力架构与1/64稀疏MoE，并扩展至10，000+可交互训练环境，长输入下TTFT降低60%至80%以上。","url":"https://www.aioga.com/news/cmrz0ch8700m7roeygv4eshdv/"},"en":{"title":"Ant Bailing releases Ling-3.0-flash native hybrid inference model","summary":"Ant Group's BaLing has released the new generation native hybrid reasoning model Ling-3.0-flash, with a total parameter count of 124B and only 5.1B active parameters. In traditional reasoning, instruction following, and long-text benchmarks, it matches or even surpasses the previous flagship Ring-2.6-1T. The model adopts a native hybrid linear attention architecture with 1/64 sparse MoE and has been expanded to over 10,000 interactive training environments, reducing TTFT under long inputs by more than 60% to 80%.","category":"Models","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Bailing releases Ling-3.0-flash native hybrid inference model - Aioga AI News","description":"Ant Group's BaLing has released the new generation native hybrid reasoning model Ling-3.0-flash, with a total parameter count of 124B and only 5.1B active parameters. In traditiona...","url":"https://www.aioga.com/en/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:04:40.795Z"},"ja":{"title":"アリス百灵がLing-3.0-flashネイティブハイブリッド推論モデルを発表","summary":"アリババリンは新世代のネイティブハイブリッド推論モデルLing-3.0-flashを公開しました。総パラメータ数は124B、アクティブパラメータ数はわずか5.1Bで、従来の推論、指示遵守、長文などの指標において、前世代フラッグシップRing-2.6-1Tを追随し、あるいは上回る性能を発揮します。モデルはネイティブハイブリッド線形注意アーキテクチャと1/64スパースMoEを採用し、10,000以上のインタラクティブな訓練環境に拡張され、長文入力時のTTFTは60％から80％以上低下します。","category":"モデル更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"アリス百灵がLing-3.0-flashネイティブハイブリッド推論モデルを発表 - Aioga AIニュース","description":"アリババリンは新世代のネイティブハイブリッド推論モデルLing-3.0-flashを公開しました。総パラメータ数は124B、アクティブパラメータ数はわずか5.1Bで、従来の推論、指示遵守、長文などの指標において、前世代フラッグシップRing-2.6-1Tを追随し、あるいは上回る性能を発揮します。モデルはネイティブハイブリッド線形注意アーキテクチャと1/64ス...","url":"https://www.aioga.com/ja/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:04:51.248Z"},"ko":{"title":"개미 백령이 Ling-3.0-flash 원생 혼합 추론 모델을 발표했습니다","summary":"Ant Group Baekryeong은 새로운 세대의 원생 하이브리드 추론 모델 Ling-3.0-flash를 발표했으며, 총 파라미터 수는 124B이고 활성화 파라미터 수는 단 5.1B입니다. 기존 추론, 명령 준수 및 장문 텍스트 등 지표에서 이전 세대 플래그십 Ring-2.6-1T를 목표로 하거나 능가합니다. 이 모델은 원생 하이브리드 선형 어텐션 구조와 1/64 희소 MoE를 채택했으며, 10,000+ 인터랙티브 학습 환경으로 확장되었고, 긴 입력에서 TTFT가 60%에서 80% 이상까지 감소합니다.","category":"모델 업데이트","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"개미 백령이 Ling-3.0-flash 원생 혼합 추론 모델을 발표했습니다 - Aioga AI 뉴스","description":"Ant Group Baekryeong은 새로운 세대의 원생 하이브리드 추론 모델 Ling-3.0-flash를 발표했으며, 총 파라미터 수는 124B이고 활성화 파라미터 수는 단 5.1B입니다. 기존 추론, 명령 준수 및 장문 텍스트 등 지표에서 이전 세대 플래그십 Ring-2.6-1T를 목표로 하거나 능가합니다. 이 모델...","url":"https://www.aioga.com/ko/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:05:32.480Z"},"es":{"title":"Ant Bailing lanza el modelo de inferencia híbrida nativo Ling-3.0-flash","summary":"Ant Group Bailing lanzó el nuevo modelo de razonamiento híbrido nativo Ling-3.0-flash, con un total de 124 mil millones de parámetros y solo 5.1 mil millones de parámetros activos, igualando e incluso superando a la generación anterior bandera Ring-2.6-1T en indicadores como razonamiento tradicional, cumplimiento de instrucciones y textos largos. El modelo adopta una arquitectura de atención lineal híbrida nativa y MoE dispersa 1/64, y se ha extendido a más de 10,000 entornos de entrenamiento interactivos, reduciendo el TTFT entre un 60% y más del 80% con entradas largas.","category":"Modelos","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Bailing lanza el modelo de inferencia híbrida nativo Ling-3.0-flash - Aioga Noticias de IA","description":"Ant Group Bailing lanzó el nuevo modelo de razonamiento híbrido nativo Ling-3.0-flash, con un total de 124 mil millones de parámetros y solo 5.1 mil millones de parámetros activos,...","url":"https://www.aioga.com/es/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:05:29.890Z"},"fr":{"title":"Ant Group a publié le modèle de raisonnement hybride natif Ling-3.0-flash","summary":"Ant Group a publié le nouveau modèle de raisonnement hybride natif Ling-3.0-flash, avec un nombre total de paramètres de 124 milliards et seulement 5,1 milliards de paramètres activés. Il égalise voire dépasse la génération précédente flagship Ring-2.6-1T en termes de raisonnement traditionnel, de respect des instructions et de traitement de textes longs. Le modèle adopte une architecture d'attention linéaire hybride native et un MoE (Mixture of Experts) parcimonieux à 1/64, et est étendu à plus de 10 000 environnements d'entraînement interactifs, réduisant le TTFT de 60 % à plus de 80 % pour les entrées longues.","category":"Modèles","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Group a publié le modèle de raisonnement hybride natif Ling-3.0-flash - Aioga Actualités IA","description":"Ant Group a publié le nouveau modèle de raisonnement hybride natif Ling-3.0-flash, avec un nombre total de paramètres de 124 milliards et seulement 5,1 milliards de paramètres acti...","url":"https://www.aioga.com/fr/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:06:10.094Z"},"de":{"title":"Ant Group veröffentlicht das Ling-3.0-flash-native Hybrid-Inferenzmodell","summary":"Ant Group veröffentlicht das neue Generation Native Hybrid Inferenzmodell Ling-3.0-flash mit insgesamt 124 Milliarden Parametern und nur 5,1 Milliarden aktiven Parametern. In klassischen Inferenzaufgaben, Instruktionsbefolgung und bei langen Texten entspricht oder übertrifft es sogar die vorherige Flaggschiff-Generation Ring-2.6-1T. Das Modell verwendet eine native hybride lineare Attention-Architektur und 1/64 Sparse MoE und wurde auf über 10.000 interaktiv trainierbare Umgebungen erweitert. Bei langen Eingaben reduziert sich TTFT um 60 % bis über 80 %.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Group veröffentlicht das Ling-3.0-flash-native Hybrid-Inferenzmodell - Aioga KI-News","description":"Ant Group veröffentlicht das neue Generation Native Hybrid Inferenzmodell Ling-3.0-flash mit insgesamt 124 Milliarden Parametern und nur 5,1 Milliarden aktiven Parametern. In klass...","url":"https://www.aioga.com/de/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:06:12.819Z"},"pt-BR":{"title":"A Ant Financial lançou o modelo de inferência híbrida nativa Ling-3.0-flash","summary":"A Ant Lark lançou a nova geração do modelo de raciocínio híbrido nativo Ling-3.0-flash, com um total de 124 bilhões de parâmetros e apenas 5,1 bilhões de parâmetros ativados. Nos indicadores de raciocínio tradicional, seguimento de instruções e textos longos, ele se compara ou até supera a geração anterior flagship Ring-2.6-1T. O modelo utiliza uma arquitetura de atenção linear híbrida nativa e MoE esparso de 1/64, e foi expandido para mais de 10.000 ambientes de treinamento interativos, reduzindo o TTFT em entradas longas em mais de 60% a 80%.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"A Ant Financial lançou o modelo de inferência híbrida nativa Ling-3.0-flash - Aioga Notícias de IA","description":"A Ant Lark lançou a nova geração do modelo de raciocínio híbrido nativo Ling-3.0-flash, com um total de 124 bilhões de parâmetros e apenas 5,1 bilhões de parâmetros ativados. Nos i...","url":"https://www.aioga.com/pt-BR/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:06:48.259Z"},"ru":{"title":"Ant Bailing выпустила нативную гибридную модель вывода Ling-3.0-flash","summary":"Компания Ant Group представила новое поколение родной гибридной модели вывода Ling-3.0-flash с общим количеством параметров 124 миллиарда и только 5,1 миллиарда активных параметров. По традиционным показателям вывода, соблюдению инструкций и работе с длинными текстами она сравнима или даже превосходит предыдущий флагман Ring-2.6-1T. Модель использует архитектуру родного гибридного линейного внимания и разреженную MoE с коэффициентом 1/64, а также расширена до более чем 10 000 интерактивных обучающих сред, при длинных входных данных TTFT снижается на 60–80% и более.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Bailing выпустила нативную гибридную модель вывода Ling-3.0-flash - Aioga Новости ИИ","description":"Компания Ant Group представила новое поколение родной гибридной модели вывода Ling-3.0-flash с общим количеством параметров 124 миллиарда и только 5,1 миллиарда активных параметров...","url":"https://www.aioga.com/ru/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:06:54.136Z"},"ar":{"title":"أنتي ليرنغ تصدر نموذج الاستدلال الهجين الأصلي Ling-3.0-flash","summary":"أعلنت شركة Ant Bailing عن الجيل الجديد من نموذج الاستدلال الهجين الأصلي Ling-3.0-flash، بإجمالي عدد معلمات 124 مليار، ومعلمات مفعلة تصل إلى 5.1 مليار فقط، حيث يقارن ويتفوق في بعض المؤشرات على الجيل السابق الرائد Ring-2.6-1T في الاستدلال التقليدي واتباع التعليمات والنصوص الطويلة. يعتمد النموذج على بنية الانتباه الخطي الهجين الأصلية وMoE المتناثر بنسبة 1/64، وتم توسيعه ليشمل أكثر من 10,000 بيئة تدريب تفاعلية، مع انخفاض TTFT بنسبة 60% إلى أكثر من 80% عند المدخلات الطويلة.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"أنتي ليرنغ تصدر نموذج الاستدلال الهجين الأصلي Ling-3.0-flash - Aioga أخبار الذكاء الاصطناعي","description":"أعلنت شركة Ant Bailing عن الجيل الجديد من نموذج الاستدلال الهجين الأصلي Ling-3.0-flash، بإجمالي عدد معلمات 124 مليار، ومعلمات مفعلة تصل إلى 5.1 مليار فقط، حيث يقارن ويتفوق في بعض ا...","url":"https://www.aioga.com/ar/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:07:33.617Z"},"hi":{"title":"एंट म्यूजिक ने Ling-3.0-flash मूल मिश्रित तर्क मॉडल लॉन्च किया","summary":"एन्ट्रोमोलॉजी Lark ने नई पीढ़ी का मूल हाइब्रिड तर्क मॉडल Ling-3.0-flash जारी किया, जिसमें कुल पैरामीटर 124B हैं, सक्रिय पैरामीटर केवल 5.1B हैं, और पारंपरिक तर्क, निर्देश अनुपालन और लंबी पाठ जैसी मापदंडों में पिछली पीढ़ी के फ्लैगशिप Ring-2.6-1T के बराबर या उससे बेहतर प्रदर्शन करता है। मॉडल मूल हाइब्रिड लाइनियर अटेंशन आर्किटेक्चर और 1/64 अपूर्ण MoE का उपयोग करता है, और 10,000+ इंटरैक्टिव प्रशिक्षण वातावरण तक विस्तारित करता है, लंबी इनपुट के मामले में TTFT 60% से 80% से अधिक तक कम हो जाता है।","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"एंट म्यूजिक ने Ling-3.0-flash मूल मिश्रित तर्क मॉडल लॉन्च किया - Aioga AI समाचार","description":"एन्ट्रोमोलॉजी Lark ने नई पीढ़ी का मूल हाइब्रिड तर्क मॉडल Ling-3.0-flash जारी किया, जिसमें कुल पैरामीटर 124B हैं, सक्रिय पैरामीटर केवल 5.1B हैं, और पारंपरिक तर्क, निर्देश अनुपालन और...","url":"https://www.aioga.com/hi/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:07:41.292Z"},"it":{"title":"Ant Group rilascia il modello di inferenza ibrido nativo Ling-3.0-flash","summary":"Ant Group Bailing ha rilasciato il nuovo modello di inferenza ibrido nativo Ling-3.0-flash, con un totale di 124 miliardi di parametri e solo 5,1 miliardi di parametri attivi, che nei criteri di inferenza tradizionale, obbedienza alle istruzioni e testi lunghi è comparabile o addirittura superiore alla generazione precedente di punta Ring-2.6-1T. Il modello utilizza un'architettura di attenzione lineare ibrida nativa e MoE sparso 1/64, ed è esteso a oltre 10.000 ambienti di addestramento interattivi, riducendo il TTFT del 60% a oltre l'80% su input lunghi.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Group rilascia il modello di inferenza ibrido nativo Ling-3.0-flash - Aioga Notizie IA","description":"Ant Group Bailing ha rilasciato il nuovo modello di inferenza ibrido nativo Ling-3.0-flash, con un totale di 124 miliardi di parametri e solo 5,1 miliardi di parametri attivi, che...","url":"https://www.aioga.com/it/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:08:20.740Z"},"nl":{"title":"Ant Group heeft het Ling-3.0-flash-native hybride inferentiemodel uitgebracht","summary":"Ant Group heeft het nieuwe generatie native hybride inferentiemodel Ling-3.0-flash uitgebracht, met een totaal aantal parameters van 124 miljard en slechts 5,1 miljard geactiveerde parameters. Het model evenaart of overtreft op traditionele inferentie, instructienaleving en lange tekstindicatoren de vorige vlaggenschipversie Ring-2.6-1T. Het model maakt gebruik van een native hybride lineaire aandacht-architectuur en 1/64 sparse MoE, en is uitgebreid naar meer dan 10.000 interactieve trainingsomgevingen, waarbij bij lange invoer de TTFT met 60% tot meer dan 80% wordt verlaagd.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Group heeft het Ling-3.0-flash-native hybride inferentiemodel uitgebracht - Aioga AI-nieuws","description":"Ant Group heeft het nieuwe generatie native hybride inferentiemodel Ling-3.0-flash uitgebracht, met een totaal aantal parameters van 124 miljard en slechts 5,1 miljard geactiveerde...","url":"https://www.aioga.com/nl/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:08:19.083Z"},"tr":{"title":"Ant Financial, Ling-3.0-flash yerel hibrit çıkarım modelini yayınladı","summary":"Ant Group Bailing, yeni nesil yerel hibrit çıkarım modeli Ling-3.0-flash'i tanıttı; toplam parametre sayısı 124 milyar, etkin parametre sayısı yalnızca 5,1 milyar. Geleneksel çıkarım, talimat takibi ve uzun metin gibi göstergelerde, önceki nesil amiral gemisi Ring-2.6-1T ile karşılaştırıldığında eşit veya daha iyi performans sergiliyor. Model, yerel hibrit lineer dikkat mimarisi ve 1/64 seyrek MoE kullanmakta ve 10.000+'den fazla etkileşimli eğitim ortamına kadar genişletilmiş; uzun girdilerde TTFT, %60 ila %80’in üzerinde düşüyor.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Financial, Ling-3.0-flash yerel hibrit çıkarım modelini yayınladı - Aioga AI Haberleri","description":"Ant Group Bailing, yeni nesil yerel hibrit çıkarım modeli Ling-3.0-flash'i tanıttı; toplam parametre sayısı 124 milyar, etkin parametre sayısı yalnızca 5,1 milyar. Geleneksel çıkar...","url":"https://www.aioga.com/tr/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:08:59.673Z"},"vi":{"title":"Ant Financial ra mắt mô hình suy luận lai gốc Ling-3.0-flash","summary":"Ant百灵 phát hành thế hệ mô hình suy luận lai gốc Ling-3.0-flash, tổng số tham số 124B, số tham số kích hoạt chỉ 5,1B, trong các chỉ số suy luận truyền thống, tuân thủ chỉ dẫn và văn bản dài, tương đồng hoặc thậm chí vượt qua thế hệ flagship trước Ring-2.6-1T. Mô hình sử dụng kiến trúc chú ý tuyến tính lai gốc và MoE thưa 1/64, đồng thời mở rộng lên hơn 10.000 môi trường đào tạo có thể tương tác, với đầu vào dài, TTFT giảm từ 60% đến hơn 80%.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Financial ra mắt mô hình suy luận lai gốc Ling-3.0-flash - Tin tức AI Aioga","description":"Ant百灵 phát hành thế hệ mô hình suy luận lai gốc Ling-3.0-flash, tổng số tham số 124B, số tham số kích hoạt chỉ 5,1B, trong các chỉ số suy luận truyền thống, tuân thủ chỉ dẫn và văn...","url":"https://www.aioga.com/vi/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:08:58.004Z"},"id":{"title":"Ant Financial meluncurkan model inferensi hibrida asli Ling-3.0-flash","summary":"Ant Group Bailing merilis model inferensi campuran asli generasi baru Ling-3.0-flash, dengan total parameter 124 miliar dan parameter aktif hanya 5,1 miliar, yang dalam indikator inferensi tradisional, kepatuhan instruksi, dan teks panjang, menandingi bahkan melampaui model unggulan generasi sebelumnya Ring-2.6-1T. Model ini menggunakan arsitektur perhatian linier campuran asli dan MoE jarang 1/64, serta diperluas ke lebih dari 10.000 lingkungan pelatihan interaktif, dengan TTFT pada input panjang turun 60% hingga lebih dari 80%.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Financial meluncurkan model inferensi hibrida asli Ling-3.0-flash - Berita AI Aioga","description":"Ant Group Bailing merilis model inferensi campuran asli generasi baru Ling-3.0-flash, dengan total parameter 124 miliar dan parameter aktif hanya 5,1 miliar, yang dalam indikator i...","url":"https://www.aioga.com/id/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:09:37.746Z"},"th":{"title":"Ant Bailing เปิดตัวโมเดลการอนุมานแบบผสมเนทีฟ Ling-3.0-flash","summary":"Ant Alpha เปิดตัวโมเดลการอนุมานแบบผสมเชื้อชาติรุ่นใหม่ Ling-3.0-flash โดยมีพารามิเตอร์ทั้งหมด 124B และพารามิเตอร์ที่เปิดใช้งานเพียง 5.1B ในด้านการอนุมานแบบดั้งเดิม การปฏิบัติตามคำสั่ง และข้อความยาว โมเดลนี้สามารถเทียบเคียงหรือล้ำหน้ารุ่นเรือธงรุ่นก่อน Ring-2.6-1T โมเดลใช้สถาปัตยกรรมการใส่ใจเชิงเส้นแบบผสมเชื้อชาติแบบดั้งเดิมและ MoE แบบกระจัดกระจาย 1/64 และขยายไปยังสภาพแวดล้อมการฝึกอบรมที่สามารถโต้ตอบได้มากกว่า 10,000+ ใต้การป้อนเข้าสูง TTFT ลดลง 60% ถึงมากกว่า 80%","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Bailing เปิดตัวโมเดลการอนุมานแบบผสมเนทีฟ Ling-3.0-flash - ข่าว AI Aioga","description":"Ant Alpha เปิดตัวโมเดลการอนุมานแบบผสมเชื้อชาติรุ่นใหม่ Ling-3.0-flash โดยมีพารามิเตอร์ทั้งหมด 124B และพารามิเตอร์ที่เปิดใช้งานเพียง 5.1B ในด้านการอนุมานแบบดั้งเดิม การปฏิบัติตามคำส...","url":"https://www.aioga.com/th/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:09:42.900Z"},"pl":{"title":"Ant Financial wypuścił natywny hybrydowy model inferencyjny Ling-3.0-flash","summary":"Ant Group wprowadza nową generację rodzimych hybrydowych modeli wnioskowania Ling-3.0-flash, z całkowitą liczbą parametrów 124 miliardy, z aktywną liczbą parametrów wynoszącą tylko 5,1 miliarda, która w tradycyjnym wnioskowaniu, przestrzeganiu poleceń i przy długich tekstach dorównuje, a nawet przewyższa poprzednią flagową wersję Ring-2.6-1T. Model wykorzystuje rodzimą hybrydową architekturę liniowej uwagi oraz rzadsze MoE w proporcji 1/64, i został rozszerzony do ponad 10 000 interaktywnych środowisk treningowych, przy długim wejściu TTFT spada o 60% do ponad 80%.","category":"模型更新","source":"公众号：蚂蚁百灵（Ling）","aggregationSource":"公众号：蚂蚁百灵（Ling）","pageTitle":"Ant Financial wypuścił natywny hybrydowy model inferencyjny Ling-3.0-flash - Aioga Wiadomości AI","description":"Ant Group wprowadza nową generację rodzimych hybrydowych modeli wnioskowania Ling-3.0-flash, z całkowitą liczbą parametrów 124 miliardy, z aktywną liczbą parametrów wynoszącą tylko...","url":"https://www.aioga.com/pl/news/cmrz0ch8700m7roeygv4eshdv/","contentTranslated":true,"sourceHash":"90f00cfb69e397bf","translatedAt":"2026-07-26T02:10:23.012Z"}}}}