Alibaba open-sources Qwen3.8-27B, a 27B multimodal dense model
Alibaba's Qwen team released the open-weights Qwen3.8-27B, a 27B-parameter native multimodal dense model under the Apache 2.0 license. It supports 262K native context (extendable to 1M tokens) and outperforms Qwen3.7-Plus in coding and office tasks, with independent benchmarks showing it matching GPT-5.6 Luna on the Artificial Analysis Intelligence Index. The model surpassed 1 million downloads within days of release.
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量子位量子位
刚刚，Qwen3.8-27B 开源了！家用显卡也能跑 量子位的朋友们 2026-08-14 23:41:12 来源： 量子位 所有人都可免费下载部署及商用。 今天，我们正式开源Qwen3.8系列模型，所有开发者、科研机构和企业均可自由下载、部署和使用。 Hugging Face： https://huggingface.co/collections/Qwen/qwen38 魔搭社区 ： https://www.modelscope.cn/collections/Qwen/Qwen38 27B（270亿参数）是全球AI社区呼声最高的模型尺寸，Qwen3.8-27B刚刚开源上线，部署便捷，快且实用。 Qwen3.8-27B是原生多模态稠密（Dense）模型，支持262K 原生上下文，通过YaRN技术可外推至 1M Tokens上下文。较Qwen3.6-27B，新模型在编程和办公场景的性能大幅提升，表现甚至超越了Qwen3.7-Plus；同时，模型还新增了 reasoning_effort 功能，根据任务难度控制思考深度，更省资源。Qwen3.8-27B也拥有Qwen3.8系列模型的共性，可以端到端完成复杂任务，直接交付经得起检验的可靠成果。 现在，我们以宽松的Apache2.0协议开放Qwen3.8-27B模型权重，所有人都可免费下载部署及商用。 Text Performance VL Performance 此前，旗舰模型Qwen3.8-Max也已开源模型权重。截至目前，千问已累计开源 460余个模型，Qwen的全球下载总量超 30 亿次，衍生模型数超30万个，成为全球AI社区最受欢迎的开源模型家族。 未来，Qwen将继续与AI开源社区同行，我们也期待全球开发者朋友能基于Qwen做出更多更好的新模型、新应用、新创造。 本文由千问大模型提供，量子位获授权转载，观点归原作者所有。 版权所有，未经授权不得以任何形式转载及使用，违者必究。
Techmeme
@alibaba_qwen : Alibaba releases weights for Qwen3.8 models under Apache 2.0 license, including Qwen3.8-27B, which it says beats Qwen3.7-Plus and excels in real-world coding — We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M
源神启动！一张消费级显卡跑“Opus级”Agent，Qwen3.8-27B多项榜单反超Claude 梦瑶 2026-08-15 14:05:31 来源： 量子位 推理能力还能自定义 梦瑶 发自 凹非寺 量子位 | 公众号 QbitAI 狂喜～开发者苦等已久的 Qwen3.8-27B 终于开！源！了！ 270亿的总参数量，在官方Benchmark多项软件工程和Agent评测中的表现吧，多少又有点让Claude《危》了—— Agent编程评测SWE-bench Pro上，27B以8.3分的优势卷超 Claude Opus 4.6 Max 。 到了更考验真实软件工程能力的QwenSWEBench，甚至领先幅度进一步扩大到15.2分： 尺寸虽小，参数配置和模型表现配的可不孬—— 原生多模态、262K原生上下文、最高100万Token扩展，重点强化的Coding、专业工作和长程Agent能力 ，也一项没落下。 好东西大家自然都想尝鲜一番！！ 这不嘛，已经有一大波网友开始大roll特roll了。 下面这老哥用3.8-27B和3.6-27B分别做了个像素风宝塔效果，3.8-27B在色彩细节和主体结构明显更next level～ 还有网友用Qwen3.8-27B做的俄罗斯方块—— 甚至连空格键掉落时的屏幕抖动、消除行时出现的奖励倍增器效果也都是模型自己添加的： 甚至还有网友说：好啊好啊，那这意思是，差不多咱以后可以在本地跑「Opus级」模型了！？ Qwen这模型，多少还是有点说法的。。。 270亿参数，代码和Agent多项榜单超过Opus 4.6 Max Qwen3.8这一代，说实话最近上新速度属实有点快。。。 而且这只27B，开发者友友们其实已经蹲挺久了。 正式开源之前社区里的《催更》就没怎么停过，也有不少人直接把它列进这一轮Qwen3.8里最值得等的开源版本。 大家之所以这么惦记，一个特别现实的原因就是——这回，自家电脑真有机会带得动了。（doge） 毕竟——总参数量就 「270亿」 。 换句话说，经过量化之后24GB显存的RTX 3090、4090这类显卡，都有机会把模型整卡装下～ 尺寸下来了，上下文长度倒是一点没跟着缩水， 原生支持262K Token上下文，还可以继续扩展到100万Token。 具体到干活场景，这一代27B重点强化的方向也很明确： 编程、专业工作、研究以及
Simon Willison
Friday's big release was Qwen 3.8 27B , an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba's Qwen research lab. I've been looking forward to this one: 27B is an excellent size for running a model on a reasonably specced laptop, and its predecessor Qwen 3.6 27B was impressive. Qwen's self-reported benchmarks for this model are eye-opening. They show a boost from both Qwen 3.6 27B and the closed-weight Qwen 3.7-Plus, which was one of Qwen's strongest models of any size as recently as May this year . It will be interesting to hear what independent benchmarks have to say about the model. I've been running the model on two different machines: my 128GB M5 Max MacBook Pro, and an NVIDIA DGX Spark . On both machines I'm running LM Studio and their 17GB Q4_K_M quantized build . I also tried using llama-server directly on the Spark. The default of extra high results in spectacular over-thinking Qwen's documentation describes the model as defaulting to xhigh for the reasoning effo
Simon Willison / Simon Willison's Weblog : Qwen 3.8 27B shows a 17GB open-weight general purpose model can have long context, effective tool calling, strong vision ability, and competent code generation — Friday's big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba's Qwen research lab.
Hacker Newsanana_
Qwen 3.8 27B scores 52 on the Artificial Analysis Intelligence Index That's the same score as GPT-5.6 Luna (max), and just one point behind GLM-5.2 (max) and DeepSeek V4 Pro 0813 (max) - that GLM is 753B and that DeepSeek is 1.6B parameters, and Luna is size unknown but presumably a whole lot bigger than 27B. Qwen 3.8 27B is a truly astonishing model . Via Hacker News Tags: ai , generative-ai , llms , qwen , ai-in-china , artificial-analysis
Juro Osawa / The Information : Alibaba says its new open-source multimodal model, Qwen3.8-27B, passed 1M+ downloads within a few days of release, making it one of its fastest-growing models — Alibaba Group said its new small-size AI model that customers can run on their own personal computers has been downloaded …
