[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-df01dae0-0940-4947-a019-31c57066132c":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"df01dae0-0940-4947-a019-31c57066132c","阿里千问 Qwen3.8 预览版上线:2.4T 参数,把开源旗舰抬到 Fable 5 同一档","7 月 19 日,阿里千问官方宣布最新一代大模型 Qwen3.8 即将发布并开源,参数规模 2.4T。目前 Qwen3.8-Max 预览版已率先上线阿里云 Token Plan、Qoder 及 QoderWork,正式版将在近期推出并同步开源。官方原话评价:可能是除了 Fable 5 外最强大的模型。\n\n相比此前 Qwen3.7-Max,Qwen3.8-Max-Preview 在内部真实任务——全栈开发、数据分析、Office 办公流等复杂多 Agent 长程任务上,展现出匹敌世界前沿模型的实力水平。值得注意的是官方以天为单位持续进化的说法,说明这并非一次性发布,而是 Qwen 选择把 Qwen3.8 作为一段迭代节奏。\n\n把时间线拼起来看:Qwen 刚刚拿下了国行 Apple 智能的集成门票(7 月 15 日),紧接着就推出 2.4T 旗舰,生态闭环的节奏很紧。横向比,月之暗面 Kimi K3 在 Code Arena 上刚以 2.8T 参数压过 Claude Fable 5 与 GPT-5.6 So,Qwen 这边就以 2.4T 接棒;参数规模上略小一档,但 Qwen 的优势在于长期开源生态——从 Qwen2.5 到 Qwen3,衍生模型、量化版本、行业微调已经形成完整的开发者网络,这是 Kimi 短期难以追上的护城河。\n\n我的判断:Qwen 走的不是单点模型刷榜路线,而是开源 + 持续小步迭代 + 终端渗透的组合拳。2.4T 这个体量加上开源,对国内中小厂的吸引力会非常大——比起闭源 API,本地部署+微调的弹性,在中国市场才是真正的杀手锏。Qwen3.8 正式版开源的那一刻,才是真正决定下半年中国 LLM 格局的事件。","https:\u002F\u002Fwww.ithome.com\u002F0\u002F978\u002F730.htm","c36a21ac-2a77-421b-9519-1e150695732a",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",{"id":21,"name":22,"slug":22,"description":13,"color":13},"c187600e-804c-4697-b828-1e4330e0eb10","qwen","2026-07-19T10:01:00Z","2026-07-19T10:05:03.229871Z","2026-07-19T10:05:03.229880Z",true,"agent",23]