通义千问

Overview

Tongyi Qianwen (Qwen) is a series of large language models and AI assistants launched by Alibaba, leading the comprehensive capabilities of domestic large models. It performs well in Chinese understanding, long text processing, logical reasoning, and coding abilities, and the consumer app is completely free.

**Latest flagship: Qwen3-Max** (officially released at the 2026/05/20 Alibaba Cloud Summit), scoring 56.6 points on the Artificial Analysis global large model leaderboard, **ranking fifth globally and first domestically**, surpassing Kimi-K2.6, DeepSeek-v4-pro, and GLM-5.1, with performance close to the strongest models of GPT, Claude, and Gemini. Designed for the Agent era, it leads in coding, office automation, and long-range autonomous reasoning. The concurrently released **Qwen-Plus** uses a hybrid attention mechanism to achieve 'reduced parameters, outperforming expectations,' with a 19x increase in inference throughput and a 60% reduction in deployment costs. The Qwen series has an active open-source ecosystem with tens of millions of global downloads. Additionally, the latest information on the official website shows that Tongyi Qianwen has launched **Qwen3-VL-Flash** and other vision-language models, as well as the **Wan2.6 series models** (such as Wan2.6-R2V, Wan2.6-I2V, Wan2.6-T2V, Wan2.6-T2I, Wan2.6-Image) and the **Wanxiang visual generation large model**, which possess multimodal generation capabilities for images, videos, and sound, achieving leading levels in image quality, semantic understanding, motion amplitude, adherence to physical laws, and artistic texture.

Key Features

Ultra-long Context: Supports a context window of up to 1 million tokens, capable of processing an entire book at once
Multimodal Understanding: Supports understanding and analysis of text, images, audio, video, and documents; newly added vision-language model Qwen3-VL-Flash and Wanxiang visual generation large model, supporting image, video, and sound generation
Web Search: Real-time online search for the latest information, with answers including source links
Document Analysis: Upload PDF, Word, and other documents for intelligent analysis and Q&A
Coding Ability: Supports code generation, explanation, and debugging in multiple programming languages, leading in multiple programming benchmarks
Open-source Model Ecosystem: The Qwen series models are fully open-source, with tens of millions of global downloads and top community activity
Hybrid Attention Mechanism (Plus): New architecture brings a 19x increase in inference throughput and a 60% reduction in deployment costs
Offline Version (Qwen3-Max Offline Version): Built-in on-device inference version in the Qianwen App, fully local operation without internet, suitable for basic Q&A and text continuation
Qianwen App Super Ecosystem: Fully integrated with Alibaba's ecosystem including Taobao, Alipay, Fliggy, and Amap, enabling AI to directly 'handle tasks'
Wan2.6 Series Models: Includes Wan2.6-R2V (video character reference generation), Wan2.6-I2V (intelligent multi-shot narrative), Wan2.6-T2V (natural audio-visual synchronization), Wan2.6-T2I (strong instruction-following ability), Wan2.6-Image (mixed text-image output), etc., enhancing multimodal generation capabilities
Wanxiang Visual Generation Large Model: Trained through a native multimodal unified framework, possessing multimodal generation capabilities for images, video, and sound, achieving leading levels in image quality, semantic understanding, motion amplitude, adherence to physical laws, and artistic texture

Use Cases

Chinese writing, translation, and content creation
Reading comprehension and summarization of long documents
Programming assistance and technical Q&A
Daily information queries and knowledge Q&A
Base model for enterprise private deployment (open-source version)
Scenarios requiring offline AI operation (on-device version)
Deep integration with Alibaba's ecosystem for e-commerce/travel/payment scenarios
Visual content generation: image, video, and sound creation (Wanxiang visual generation large model)
Video character reference generation, intelligent multi-shot narrative (Wan2.6 series)

Pros

Consumer

Summary

Tongyi Qianwen (Qwen) is suitable for users who require high-quality Chinese comprehension, long-text processing, multimodal generation, and deep integration with the Alibaba ecosystem, such as content creators, developers, enterprises, and e-commerce/travel scenarios. Its core advantages include the flagship model Qwen3-Max, which ranks fifth globally and first domestically in performance, supports ultra-long context (1 million tokens), multimodal understanding and generation (including the Wan2.6 series and Wanxiang visual model), an active open-source ecosystem, and a completely free consumer-side app. Additionally, it offers offline versions and efficient deployment enabled by a hybrid attention mechanism.

Version History

官网显示Qwen3-VL-Flash已上架百炼，且万相系列发布Wan2.6（含R2V/I2V/T2V/T2I/Image: The official website shows that Qwen3-VL-Flash has been listed on Bailian, and the Wanxiang series has released Wan2.6 (including new models such as R2V/I2V/T2V/T2I/Image). The evaluation does not mention these new updates.
Qwen-Image-3.0-Pro 上线 Qwen Cloud (2026-08-05): Alibaba's Tongyi Qianwen releases Qwen-Image-3.0-Pro and Standard, now available on Qwen Cloud. The model ranks first among Chinese models and second among mainstream models on the Arena text-to-image leaderboard, supporting 4.5k-token prompts, 10px-level text rendering, and 12 languages. The Pro version starts at $0.04/image, and the Standard version starts at $0.03/image.
千问App大更新+Qwen3.8-MAX (2026-08-07): 思考研究、定时任务、办公助理（可付费扩容）、智能体广场、语音通话上线，支持旗舰Qwen3.8-MAX 2.4T参数；办公功能设置付费额度，拟向开源商用大户抽成
官网新增Qwen3-VL-Flash上架百炼，并正式发布Wan2.6系列模型（含Wan2.6-R2V、Wan2.6-I2: The official website has newly added Qwen3-VL-Flash to Bailian, and officially released the Wan2.6 series models (including Wan2.6-R2V, Wan2.6-I2V, Wan2.6-T2V, Wan2.6-T2I, Wan2.6-Image, etc.), while also showcasing the capabilities of new models such as Qwen3-Max, Qwen3-Coder-Plus, and Qwen3-Omni-Flash.