阿里千问升级后能做什么？它和ChatGPT哪个更实用？（附生态能力详解）

引言：迈向“能说更能干”的AI新范式

阿里千问完成重大升级，正式推进Agentic AI能够自主完成复杂任务链的AI代理，是2026年的重要技术趋势。战略，实现从“被动回应式AI”到“主动行动式AI”的颠覆性转变。此次升级是阿里集团自上而下全栈AI战略落地的核心成果，标志着其AI助手定位的根本性重塑。集团正持续加码AI布局，致力于将千问打造为连接数亿用户的下一代高频智能入口，其核心定位是“能说更能干”的全能办事助手。

Alibaba's Qwen has undergone a major upgrade, formally advancing its Agentic AI能够自主完成复杂任务链的AI代理，是2026年的重要技术趋势。 strategy and achieving a disruptive transformation from "passive responsive AI" to "proactive action-oriented AI." This upgrade represents a core achievement of Alibaba's top-down, full-stack AI strategy implementation, signifying a fundamental reshaping of its AI assistant's positioning. The group is steadfastly increasing its investment in AI layout, aiming to build Qwen into the next-generation high-frequency intelligent gateway connecting hundreds of millions of users. Its core positioning is an all-around "can talk and can do" assistant.

区别于普通聊天式AI，千问深度依托阿里生态优势，将尖端大模型技术与真实生活场景紧密绑定。通过统一的AI界面智能统筹跨平台资源，并搭配支付宝的原生AI支付能力，千问实现了端到端的全流程闭环服务。用户从提出需求到完成任务，全程无需跳转应用，真正让AI具备了触达现实世界的执行能力。例如，它已成为全球首个实现语音全流程购买电影票的AI助手。目前，千问已全面打通生活、出行、购物等核心办事链路，开启了人机交互办事的新时代。

Unlike ordinary conversational AI, Qwen deeply leverages Alibaba's ecosystem advantages, tightly binding cutting-edge large model technology with real-life scenarios. Through a unified AI interface that intelligently coordinates cross-platform resources, coupled with Alipay's native AI payment capabilities, Qwen achieves end-to-end closed-loop services. Users can go from expressing a need to completing a task without switching applications, truly endowing AI with the executive ability to reach the real world. For instance, it has become the world's first AI assistant to enable full-process voice-based movie ticket purchasing. Currently, Qwen has comprehensively connected core service chains in daily life, travel, shopping, and more, ushering in a new era of human-computer interactive task completion.

技术基座：Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。系列赋能，斩获全球权威认可

架构革新与性能突破

阿里千问搭载了新一代Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。旗舰大模型。该模型采用创新的混合专家（MoE）架构，实现了底层技术的全面革新。通过高效的参数配比，它在筑牢性能根基的同时，大幅降低了部署成本并显著提升了算力利用率。

Alibaba's Qwen is powered by the new-generation Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。 flagship large model. This model adopts an innovative Mixture of Experts (MoE) architecture, achieving comprehensive innovation at the foundational technical level. Through efficient parameter allocation, it solidifies the performance foundation while significantly reducing deployment costs and markedly improving computational resource utilization.

在推理能力上，Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。系列表现卓越。其复杂任务推理效率领跑行业，日常需求响应极快，并支持超长上下文处理，能精准记忆用户历史偏好。模型创新性地搭载了“快思考+慢思考”混合推理模式，能够针对简单需求实现低算力秒级回应，对于复杂问题则进行多步骤深度求解，完美兼顾了响应速度与算力优化。

In terms of reasoning capabilities, the Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。 series demonstrates exceptional performance. Its efficiency in complex task reasoning leads the industry, with extremely fast responses to daily needs. It supports ultra-long context processing and can accurately remember user historical preferences. The model innovatively incorporates a "fast thinking + slow thinking" hybrid reasoning mode, enabling low-computation, second-level responses for simple requests and multi-step, in-depth problem-solving for complex issues, perfectly balancing response speed and computational optimization.

全球评测与开源影响力

Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。系列在多项全球权威测评中表现拔尖，在奥数推理、代码编程、综合竞技等多个维度均刷新了开源模型的纪录，超越了多款国际顶尖模型。同时，它原生支持百余种语言交互，为其全球化落地夯实了基础。

The Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。 series has achieved top-tier results in multiple globally authoritative evaluations, setting new records for open-source models in dimensions such as mathematical reasoning, code programming, and comprehensive benchmarks, surpassing several internationally top-tier models. Furthermore, it natively supports interaction in over a hundred languages, solidifying the foundation for its global deployment.

千问模型家族采用宽松的开源协议，覆盖了从极小到极大的全尺寸模型矩阵，已成为全球使用最广泛的开源模型家族之一。其累计下载量已突破10亿次，基于其衍生的作品数量也稳居行业前列。

The Qwen model family adopts a permissive open-source license, covering a full-size model matrix from very small to extremely large. It has become one of the most widely used open-source model families globally, with cumulative downloads exceeding 10 billion. The number of derivative works based on it also consistently ranks at the forefront of the industry.

生态与功能：全场景深度打通，海量功能一键办事

核心场景覆盖

升级后的千问已深度打通淘宝、支付宝、飞猪、高德等阿里核心生态应用，全面覆盖了生活、出行、购物、政务、工作、教育六大核心场景。其功能库持续迭代扩容，办事能力不断升级。

The upgraded Qwen has deeply integrated with Alibaba's core ecosystem applications such as Taobao, Alipay, Fliggy, and Amap, comprehensively covering six core scenarios: daily life, travel, shopping, government services, work, and education. Its function library is continuously iterating and expanding, with task-handling capabilities constantly being enhanced.

同时，千问积极拓展外部合作，已与全球数十家知名旅行品牌达成AI合作，涵盖头部航空公司、酒店集团及文旅主题乐园。

Simultaneously, Qwen actively expands external partnerships, having reached AI cooperation agreements with dozens of globally renowned travel brands, covering leading airlines, hotel groups, and cultural tourism theme parks.

场景化功能示例

用户福利与市场表现：全民福利普惠，登顶国民级应用

福利活动与用户增长

千问推出了全民普惠福利活动，投入大额资金打造免单福利体系。由于用户参与热情空前高涨，官方持续加码福利力度并延长活动周期，还推出了专属免单卡以提升用户体验。福利场景从日常茶饮、年货逐步拓展至高价值的电影票、机票酒店、景区门票等领域。

Qwen launched a nationwide inclusive benefit campaign, investing substantial funds to build a free-of-charge benefit system. Due to unprecedented user enthusiasm for participation, the official platform continuously increased the benefit offerings and extended the campaign period, also introducing exclusive freebie cards to enhance user experience. The benefit scenarios expanded from daily tea drinks and holiday goods to higher-value areas such as movie tickets, flight and hotel bookings, and scenic spot tickets.

市场数据与行业地位

活动期间，千问用户活跃度飙升，协助完成了海量真实订单，并成功登顶主流应用商店免费榜，实现了品牌影响力的全面破圈。

During the campaign period, Qwen's user activity surged, assisting in the completion of a massive volume of real orders. It successfully topped the free charts of mainstream app stores, achieving a comprehensive breakthrough in brand influence.

市场数据显示，千问自公测以来增长势头迅猛，短时间内月活跃用户（MAU）便突破了3亿大关，成功跻身国民级AI应用行列，成为国内增速最快的AI产品之一。节后其日活跃用户（DAU）稳定保持高位，用户留存率远超行业平均水平。

Market data indicates that since its public beta, Qwen has experienced rapid growth, with its monthly active users (MAU) breaking through the 300 million mark in a short period, successfully entering the ranks of national-level AI applications and becoming one of the fastest-growing AI products domestically. Post-holiday, its daily active users (DAU) remained stably high, with user retention rates far exceeding the industry average.

依托生态协同优势，有近亿用户通过千问首次体验了AI购物。这一成功实践将短期营销流量有效转化为了长期的用户习惯，进一步夯实了千问作为AI办事核心入口的市场地位。

Leveraging ecosystem synergy advantages, nearly 100 million users experienced AI-powered shopping for the first time through Qwen. This successful practice effectively converted short-term marketing traffic into long-term user habits, further solidifying Qwen's market position as a core AI task-completion gateway.

行业意义：重构交互逻辑，引领全球办事AI浪潮

服务逻辑的重构

千问的升级迭代彻底重构了移动互联网的服务逻辑。它将传统多步骤、跨平台的繁琐消费链路，压缩为“需求表达、结果交付”的两步极简模式，直击用户“跳转多、操作繁”的核心痛点。这推动AI从辅助工具升级为数字生活的核心办事中枢。

Qwen's upgrade iteration has fundamentally reconstructed the service logic of the mobile internet. It compresses the traditional multi-step, cross-platform cumbersome consumption chain into an ultra-simple two-step model: "need expression, result delivery," directly addressing the core user pain points of "too many app switches and overly complex operations." This elevates AI from an auxiliary tool to the central task-completion hub of digital life.

可复制的落地范式

其“大模型 + 全生态 + 真场景”的落地模式，有效降低了跨生态协同的成本，为整个行业提供了一个可复制、可规模化的成功范本。这使得行业竞争焦点，从单一的模型性能比拼，转向了生态整合能力与真实场景落地能力的综合实力较量。

Its implementation model of "Large Model + Full Ecosystem + Real Scenarios" effectively reduces the cost of cross-ecosystem collaboration, providing the entire industry with a replicable, scalable success template. This shifts the industry's competitive focus from a singular contest of model performance to a comprehensive competition of ecosystem integration capability and real-scenario implementation ability.

全球影响力与范式重塑

凭借硬核的技术实力，千问已成为国际科技巨头争相适配的技术基座，并成功落地于海外国家级AI项目及全球商业场景，吸引了众多国际品牌合作。它还参与了国际大型赛事的智能调度等核心工作。

With robust technical capabilities, Qwen has become a technological foundation that international tech giants are vying to adapt. It has been successfully deployed in overseas national-level AI projects and global commercial scenarios, attracting cooperation from numerous international brands. It has also participated in core tasks such as intelligent scheduling for major international events.

通过开源开放、产业共赢的模式，千问正在打破海外AI标准的技术垄断，推动中国大模型技术走向全球前沿，重塑全球AI竞争的范式。

Through its open-source, open, and industry-win-win model, Qwen is breaking the technological monopoly of overseas AI standards, propelling Chinese large model technology to the global forefront, and reshaping the paradigm of global AI competition.

现存挑战与未来展望：深耕场景体验，拓宽智能边界

当前面临的挑战

当前，千问仍面临一些阶段性挑战。例如，由福利活动吸引来的用户，其长效留存机制有待进一步巩固和提升。外部平台的推广链路存在一定限制，影响了潜在用户的触达效率。同时，在面对大规模订单峰值时，系统的履约效率和高并发场景下的服务稳定性仍需持续优化。

Currently, Qwen still faces some phased challenges. For instance, the long-term retention mechanism for users attracted by benefit campaigns needs further consolidation and enhancement. Promotion channels on external platforms have certain limitations, affecting the reach efficiency to potential users. Furthermore, when facing peaks of large-scale orders, the system's fulfillment efficiency and service stability under high-concurrency scenarios require continuous optimization.

值得指出的是，此次全民级的福利活动本身也是一次全社会范围的AI压力测试，为后续的系统优化和体验升级积累了宝贵的实战经验。

It is worth noting that this nationwide benefit campaign itself served as a society-wide AI stress test, accumulating valuable practical experience for subsequent system optimization and experience enhancement.

未来战略方向

展望未来，千问将重点搭建更具弹性的服务体系，着力攻克高并发下的卡顿、履约滞后等技术难题。它将精准聚焦学生、职场人士、家庭用户三大核心群体，持续强化高频场景下的功能深度。

Looking ahead, Qwen will focus on building a more resilient service system, striving to overcome technical challenges such as lag under high concurrency and fulfillment delays. It will precisely target three core user groups—students, professionals, and families—continuously deepening functionalities in high-frequency scenarios.

在生态拓展上，千问将持续接入优酷、盒马、菜鸟、阿里健康等阿里全生态资源，并积极拓展第三方合作伙伴。其长期目标是从一个“流量爆款”转型为用户长期陪伴的“生活决策伙伴”。

In terms of ecosystem expansion, Qwen will continue to integrate resources from Alibaba's full ecosystem, including Youku, Freshippo, Cainiao, and AliHealth, and actively expand partnerships with third-party collaborators. Its long-term goal is to transform from a "traffic hit" into a user's long-term companion as a "life decision-making partner."

技术前沿探索

同时，阿里已组建专项研发小组，依托千问强大的多模态能力，推动AI从认知智能向具身智能An AI system that integrates multimodal large models with physical or virtual bodies to understand and interact with the world.（Embodied AI）进阶。目前已在AI助盲、智能座舱等领域取得初步落地成果。未来，阿里将持续深化行动式AI（Agentic AI能够自主完成复杂任务链的AI代理，是2026年的重要技术趋势。）的战略布局，重新定义智能服务的边界。

Concurrently, Alibaba has established dedicated R&D teams to advance AI from cognitive intelligence towards embodied intelligence, leveraging Qwen's powerful multimodal capabilities. Initial implementation results have been achieved in areas such as AI assistance for the visually impaired and intelligent cockpits. In the future, Alibaba will continue to deepen its strategic layout in Agentic AI能够自主完成复杂任务链的AI代理，是2026年的重要技术趋势。, redefining the boundaries of intelligent services.

常见问题（FAQ）

阿里千问AI助手升级后有什么根本变化？

千问已完成从被动对话式AI到主动Agentic AI能够自主完成复杂任务链的AI代理，是2026年的重要技术趋势。的升级，现在能通过语音命令在淘宝、支付宝等阿里生态内执行现实任务，成为“能说更能干”的全能办事助手。

千问的技术核心Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。模型有什么优势？

Qwen3.5阿里巴巴新一代旗舰大模型，采用混合专家（MoE）架构，以高效参数配比实现高性能、低部署成本和高算力利用率，支持超长上下文和混合推理模式。采用创新的混合专家架构，在复杂推理、代码编程等全球评测中表现卓越，支持超长上下文和百余种语言，并大幅优化了算力利用与部署成本。

千问如何实现“一键办事”的体验？

它深度打通阿里生态，通过统一AI界面统筹跨平台资源，结合支付宝AI支付能力，用户从需求到完成（如购票）无需跳转应用，实现端到端闭环服务。