Tongyi Qianwen is an ultra-large-scale language model created by Alibaba Group based on its self-developed "Tongyi" large model technology system. It was officially released in 2023 and has evolved by 2026 into a multi-modal intelligent engine covering text, images, audio, and video. Its core foundation integrates a Transformer architecture with hundreds of billions of parameters, massive Chinese corpus pre-training, and human feedback reinforcement learning (RLHF) alignment technology, achieving deep optimization for Chinese context understanding, complex reasoning, and long-document comprehension. As a core component of Alibaba Cloud's "AI Cloud" strategy, Tongyi Qianwen not only serves C-end users as a conversational assistant but also provides Model-as-a-Service (MaaS) to enterprise clients through the Alibaba Cloud Bailian platform, having implemented hundreds of industry solutions in finance, healthcare, manufacturing, education, and more, firmly ranking among the top tier of general-purpose large models in China.

Leveraging the Alibaba ecosystem (DingTalk, Taobao, Amap, Alibaba Cloud, etc.), Tongyi Qianwen has developed a unique capability for cross-scenario integration: it serves both as an efficient productivity tool for individual users and as an intelligent foundation for enterprise digital transformation. Its official portal integrates features such as model experience, application creation, document parsing, and API management, and supports private deployment and open-source versions (Qwen series). With over 100,000 stars on GitHub, it has become one of the most popular open-source Chinese large models globally. By 2026, Tongyi Qianwen has upgraded to Qwen3.5-Max, featuring a 1M ultra-long context window, enhanced Agent tool invocation, and multi-modal generation capabilities, representing Alibaba's latest technological breakthrough on the path to AGI.

• Ultra-long Document Parsing Engine - Natively supports a context window of up to 1M tokens, allowing one-shot parsing and summarization of PDFs, Word documents, technical reports, and academic papers exceeding 500 pages, automatically extracting key data and logical structures, with cross-document comparison support.
• Multi-modal Understanding and Generation - Not only understands text but also recognizes image content (charts, formulas, handwritten text), analyzes audio and video files, and generates high-quality mixed text-image content, meeting creative design and knowledge popularization needs.
• Agent Orchestration - Built-in task planning and tool invocation capabilities that automatically decompose complex tasks and call external tools such as search engines, code interpreters, and databases via APIs, enabling "AI-driven end-to-end" automated workflows.
• Deep Reasoning and Mathematical Ability - Employs Chain-of-Thought (CoT) and self-consistency verification techniques, excelling in scenarios requiring strict reasoning such as mathematical proofs, logic puzzles, and code algorithm design, comparable to professional human experts.
• Personalized Character Customization - Supports users in creating专属 intelligent agents, customizing persona, tone, and knowledge bases, and publishing them to platforms like DingTalk and WeChat with one click to build personal or corporate AI avatars.
• Full Lifecycle Code Support - Covers code generation, debugging explanations, code-to-comment conversion, unit test writing, and cross-language migration, and can be integrated into IDEs (e.g., VSCode, JetBrains) and CI/CD pipelines, boosting R&D efficiency by over 30%.

• Step 1: Registration and Login - Visit the Tongyi Qianwen official website (https://tongyi.aliyun.com) and log in with an Alibaba Cloud account, mobile number, or DingTalk account via one-click login. New users automatically receive a free trial quota without needing a credit card.
• Step 2: Interface Navigation and Mode Selection - After logging in, enter the dialogue workspace. At the top, you can switch between the three main modes: "Dialogue," "Document Parsing," and "Agent." In dialogue mode, you can select preset scenarios such as general conversation, code-specific, or mathematical reasoning, or customize system prompts to constrain the response style.
• Step 3: Input Task Prompts - Directly type questions or requirements in the input box, supporting natural language, image uploads, and file drag-and-drop. For better output quality, it is recommended to use structured expressions (background + task + requirements). You can enable "Deep Thinking" mode for more rigorous reasoning or "Web Search" mode for real-time information.
• Step 4: Result Export and Collaboration - After content generation, click "Copy" or "Download" to export as Markdown, PDF, or Word. You can also share conversations with your team with one click or publish agents to DingTalk groups for team-level collaboration. Developers can obtain API keys in the "API Management" section and integrate them into their own applications using SDKs.

Example 1: Rapid Review of Long Documents - Upload a 50-page "2025 New Energy Industry White Paper" and enter the prompt: "Please extract all information about solid-state battery technology routes, market share forecasts, and major company developments, and produce a summary within 300 words, listing 5 key data points." Tongyi Qianwen quickly locates relevant sections and outputs a structured summary with page references.

Example 2: Code Debugging and Refactoring - Provide a piece of Python code with bugs and enter: "This code throws a timeout error during batch processing. Please analyze possible causes and provide an optimized concurrent version, adding exception handling and logging." The model explains the issues step by step, outputs refactored code, and provides a performance comparison.

Example 3: Business Proposal Generation - Enter: "I plan to open a pet café in Hangzhou. Please write a business plan outline, including market analysis, differentiated positioning, investment budget, marketing plan, and risk assessment, with credible data and clear logic." Tongyi Qianwen generates a structurally complete and executable outline, along with reference industry data and precautions.

• Industry-Leading Chinese Comprehension - Trained on vast amounts of high-quality Chinese corpora, it accurately understands idioms, colloquialisms, industry terminology, and regional culture, generating content that follows Chinese writing conventions, significantly outperforming overseas models in Chinese performance.
• Ultra-Long Context and Document Parsing Moat - Supports 1M tokens with a unique document-level attention mechanism, achieving better accuracy and speed in long-text processing than GPT-4-class competitors, and handling complex formats like PDF, PPT, and scanned documents.
• Alibaba Cloud Ecosystem and Infrastructure Synergy - Deeply integrated with Alibaba Cloud's elastic computing, data middle platform, intelligent speech, and other products, enterprise users benefit from low-latency, high-concurrency, secure, and compliant deployment solutions, including hybrid cloud and private customization.
• Open-Source Strategy and Cost Advantage - The open-source Qwen series models (0.5B-72B) allow free commercial use, significantly lowering the barrier for small and medium enterprises; API pricing is only one-third of comparable international products, with generous free quotas.
• Complete Agent and Toolchain Loop - Includes over 200 official plugins (search, calculation, drawing, code execution, etc.) and supports custom tool registration, making it easier to build complex automated business flows compared to competitors.

Tongyi Qianwen's main competitors include: Baidu ERNIE Bot (backed by the search ecosystem, strong in Chinese search integration), iFlytek Spark (strong in voice interaction and education scenarios), OpenAI GPT-4/GPT-4o (global general-purpose, rich plugin ecosystem), and emerging models like DeepSeek and Kimi. Compared to ERNIE Bot, Tongyi Qianwen excels in the open-source ecosystem and API cost-effectiveness; compared to iFlytek Spark, it has distinct advantages in coding capabilities and long-document parsing; compared to GPT-4, Tongyi Qianwen's Chinese semantic understanding, long-context processing, and support for domestic enterprise compliance needs (e.g., data not leaving the country) are better aligned with the local market. On reasoning-intensive tasks, Qwen3.5-Max has matched GPT-4o in public benchmarks (such as MMLU and C-Eval), though it still lags slightly in creativity and humor, which can be compensated through character customization. Additionally, Tongyi Qianwen's private deployment option is a unique advantage that international competitors cannot easily offer.

Tongyi Qianwen implements a multi-tier business model: "Free + Subscription + API Pay-as-You-Go + Enterprise Customization."

• Free Version - New users receive 200 basic conversation sessions per month (each limited to 2,000 characters), access to all core features (except deep reasoning), and 5 long-document parsing opportunities per month, suitable for personal trial.
• Subscription (Pro Version) - Priced at 9.9 RMB/month (or 99 RMB/year), offering unlimited conversations, priority queue, unlimited deep reasoning, document parsing capacity increased to 2,000 pages per month, and the ability to train exclusive agents. Members also receive exclusive discounts on other Alibaba Cloud AI products (such as speech recognition).
• API Pricing - Billed per token: Qwen-turbo at 0.002 RMB/1K tokens (input) and 0.006 RMB/1K tokens (output); Qwen-plus at 0.004 RMB/1K tokens (input) and 0.012 RMB/1K tokens (output); Qwen-Max at 0.02 RMB/1K tokens (input) and 0.06 RMB/1K tokens (output). A new user test package of 1 million free tokens per month is provided.
• Enterprise and Private Deployment - Custom business pricing, including dedicated resource pools, security audits, data isolation, model fine-tuning, and Alibaba Cloud expert support. Specific costs depend on deployment scale (CPU/GPU instances) and call volume, starting at approximately 50,000 RMB per year.

• Software Engineers and Data Scientists - Need code generation, debugging, refactoring, technical document interpretation, and algorithm design. Tongyi Qianwen's coding capabilities and IDE plugins become indispensable daily development assistants.
• Academic Researchers and Students - From literature reviews and paper polishing to experimental data analysis, long-document parsing and deep reasoning features significantly boost academic research efficiency, especially in Chinese social sciences and STEM fields.
• Content Creators and Marketing Professionals - Can quickly generate articles, video scripts, poster copy, and social media content, and leverage multi-modal capabilities to produce rich text-and-image materials, lowering creative barriers.
• Business Managers and Operations Staff - Use agents to automate repetitive tasks such as contract review, market research, customer service Q&A, and report interpretation, achieving process automation and integrating with internal OA systems via APIs.
• Professionals in Legal, Finance, Healthcare, and Other Services - Summarize professional documents, compare clauses, identify risks, and assist decision-making, while supporting private deployment to meet compliance requirements.

• Workplace Copywriting and Optimization - Generate weekly reports, PPT outlines, business emails, and meeting minutes, and automatically adjust tone from formal and serious to relaxed and lively.
• Programming Assistance and Code Refactoring - Answer programming questions in real time, detect security vulnerabilities, convert legacy language code to Python/Java, generate unit test cases, and integrate into CI pipelines.
• Intelligent Customer Service and Consulting - Build enterprise knowledge base Q&A bots that automatically respond to common customer questions, support multi-turn dialogue and emotion recognition, and seamlessly integrate with DingTalk and customer service systems.
• Multi-Language Localization and Translation - Supports translation among more than 50 languages including Chinese, English, Japanese, Korean, French, and Spanish, preserving cultural metaphors and professional terminology accuracy for international business communication and document localization.
• Education and Training with Knowledge Q&A - Acts as an AI teaching assistant to explain complex concepts, create and grade assignments, design study plans, or provide patient one-on-one tutoring for primary and secondary school students.
• Data Analysis and Decision Support - Input dozens of market research reports and automatically generate competitor comparison matrices, SWOT analyses, and trend predictions, providing data-driven decision support for management.