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Models & APIs

Qwen Launches Qwen3.8-Max With 2.4 Trillion Parameters

Alibaba’s Qwen has introduced Qwen3.8-Max, describing it as the most capable model in the Qwen family so far. The model is reported to have 2.4 trillion total parameters, 95 billion activated parameters, and a 1-million-token context window.

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Qwen has announced Qwen3.8-Max for coding, office work, research, and long-horizon agent tasks. According to the company, the model builds on the Qwen 3.5 architecture and combines multimodal processing with extended planning, tool use, and self-correction. Claims about reliability and real-world productivity are based primarily on the vendor’s own evaluations and examples.

Qwen says the weights for Qwen3.8-Max will be released the following week, alongside the open-weight Qwen3.8-27B. Reported overseas API pricing is $2 per million input tokens, $6 per million output tokens, and $0.25 per million tokens for implicit-cache hits. Developers can access the model through Qwen’s platform, Qwen Studio, and API services.

Source evidence

阿里Qwen3.8正式发布,编程与办公再进化_搜狐网m.sohu.com · supporting

## 阿里Qwen3.8正式发布,编程与办公再进化 阿里研究院 阿里研究院 今天,我们正式发布 Qwen3.8-Max——Qwen家族迄今最强大的模型。下周,我们将开源Qwen3.8-Max的模型权重,同时也将开源Qwen3.8-27B模型。 Qwen 3.8-Max 基于 Qwen 3.5 的架构基础构建,参数规模扩展至 2.4 万亿,激活参数95B,支持100万上下文Tokens,在编程、办公、科研以及长周期任务等方面实现了全面提升。它不仅能应对更具挑战性的问题,还能更可靠地端到端完成复杂任务,输出值得信赖的成果。 现在,全球开发者都可通过千问AI平台获得Qwen3.8的API服务:国内每百万Tokens输入12元、输出36元,隐式缓存命中1.5元;海外每百万Tokens输入2美元、输出6美元,隐式缓存命中0.25美元,与海外相近智能的前沿模型比,Qwen3.8有更高性价比。 技术Blog: API(千问AI 平台): 直接体验(Qwen Studio): 模型性能 三方榜单 Arena放榜,Qwen3.8-Max在 Text Arena、CodeArena、VisionArena上的成绩: Text Arena :文本能力榜单,包含数学、代码、创业写作等领域。 CodeArena : 编程能力(前端)榜单,考察多步骤推理及工具调用的编程智能体能力等。 VisionArena:视觉能力榜单,包含视觉推理等核心能力项目。 模型表现 编程能力:独立交付项目 对顶尖模型来说,今天的编程早已不是"你说需求、我写函数",而是从一个空文件夹出发,独立地把一个跨越数天的真实项目做到交付。我们用两个这样的挑战测试了 Qwen3.8-Max——每一份成果,都是它自己写代码、 自己跑测试、自己修复BUG,全程无人帮忙。 [...] 对 Qwen3.8-Max 最真实的判断,来自真正拿它做事的人。无论是头部智能体应用平台、领先的开源算法团队,还是来自法律、金融、制造等领域的专业公司,新兴创业团队、个人开发者与学术科研者,都在把复杂、关键、长链路的任务持续交给它。 企业用户用它搭建和驱动大规模智能体系统,白领工作者把图片、手稿、视频等繁杂材料一次性交给它处理,开发者直接让它承担高强度工程任务,科研团队则用它跑通“文献—数据—仿真”的完整研究闭环。同

Qwen3.8-Max: A New Bar for Coding and Coworkqwen.ai · supporting

QWEN STUDIO DISCORD Today, we are officially releasing Qwen 3.8-Max, the most capable model in the Qwen family to date. This also marks the first time we will open-source the weights of a Qwen-Max-class model — the open weights will be released next week. Built upon the architectural foundation of Qwen 3.5, Qwen 3.8-Max scales to 2.4 trillion parameters, delivering comprehensive improvements across coding, work, research, and long-horizon tasks. It can not only answer more challenging questions, but also complete complex tasks end-to-end with greater reliability, producing dependable deliverables. [...] ## Summary# Qwen3.8-Max is our most capable model to date, and the first open-weight model at Max scale. Scaling to 2.4 trillion parameters, it delivers comprehensive gains across coding, real-world work, long-horizon tasks, and multimodal agents — able to take complex, open-ended goals from start to finish with minimal human involvement and produce dependable deliverables. The open w

alibaba.cloudinstagram.com · supporting

📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉 Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub: - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.

Qwen3.8-Max 來了:阿里 Qwen 迄今最強模型,2.4T 參數,主打 coding 與 cowork。官方稱下週會釋出 Qwen3.8-Max 開源權重,Qwen3.8-27B 也會一併開源。threads.com · supporting

# Thread 7.1K views brewbytes.ai's profile picture brewbytes.ai Qwen3.8-Max 來了:阿里 Qwen 迄今最強模型,2.4T 參數,主打 coding 與 cowork。官方稱下週會釋出 Qwen3.8-Max 開源權重,Qwen3.8-27B 也會一併開源。 Translate 42 8 Log in or sign up for ThreadsSee what people are talking about and join the conversation. Log in with username instead

阿里发布新一代大模型Qwen3.8-Max 下周开源zaobao.com.sg · supporting

Zaobao 订阅 # 阿里发布新一代大模型Qwen3.8-Max 下周开源 中国科技巨企阿里巴巴旗下人工智能(AI)应用通义千问星期一(8月3日)发布最新大模型Qwen3.8-Max。 (千问大模型微信公众号) 中国科技巨企阿里巴巴旗下人工智能(AI)应用通义千问星期一(8月3日)发布最新大模型Qwen3.8-Max。 (千问大模型微信公众号) 中国科技巨企阿里巴巴旗下人工智能(AI)应用通义千问星期一(8月3日)发布的最新大模型Qwen3.8-Max,将于下周开源。 千问大模型当天在微信公众号上,正式发布Qwen家族迄今最强大的模型Qwen3.8-Max,将于下周开源这一模型权重,同时也将开源Qwen3.8-27B模型。 据介绍,Qwen3.8-Max基于Qwen 3.5的架构基础构建,参数规模扩展至2.4万亿,激活参数95B,支持100万上下文Tokens,在编程、办公、科研以及长周期任务等方面实现了全面提升。它不仅能应对更具挑战性的问题,还能更可靠地端到端完成复杂任务,输出值得信赖的成果。 现在,全球开发者都可通过千问AI平台获得Qwen3.8的应用程序编程接口(API)服务:中国国内每百万Tokens输入12元(人民币,下同,2.28新元)、输出36元,隐式缓存命中1.5元;海外每百万Tokens输入2元(美元,下同,2.56新元)、输出6元,隐式缓存命中0.25元,与海外相近智能的前沿模型比,Qwen3.8有更高性价比。 另据IT之家报道,根据星期一放榜的权威三方榜单Arena中,阿里Qwen3.8模型仅次于美国Anthropic的Claude 系列,整体性能处于全球大模型第一梯队。 ## 延伸阅读 月之暗面宣布开源Kimi K3模型权重 供公众下载

📢Meet Qwen3.8-Max — our most capable model to date. Next week ...x.com · supporting

📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉 Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub:github.com/qwen-code-dev-… - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, [...] 81K user avatar Unsloth AI @UnslothAI Aug 3 Qwen3.8-27B? Thank you oh thank you Qwen team! A dream come true for all of us!! 😭🙏 We can't wait to make quants so everyone can run it locall