Qwen3-Max-Preview

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Alibaba's flagship large model with trillions of parameters, supporting ultra-long context, multi-language understanding and powerful inference programming capabilities, is built for complex tasks and enterprise-class applications.

Language:
zh,en
Collection time:
2025-09-06
Qwen3-Max-PreviewQwen3-Max-Preview

QwenWhat is 3-Max-Preview?

Qwen3-Max-Preview is the first product of Alibaba Qwen team inThe first flagship language model to exceed 1 trillion parameters launched on September 5, 2025The model is a new model of the world's largest and most advanced model, marking a major breakthrough in the field of home-grown technology for ultra-large-scale modeling. The model adopts a non-reasoning structure but significantly improves performance in reasoning, programming, multilingual processing, etc. It also supports ultra-long context (up to 256 K tokens) and efficient response. Users can use it via web interface or API call, which is suitable for enterprise-level document processing, long text summarization, multi-step logical reasoning, multi-language assistant and programming assistance.

Qwen3-Max-Preview not only provides powerful performance and large capacity, but also balances responsiveness and cost-effectiveness with support for task integration and tool invocation, making automation and intelligence of complex tasks feasible. With its technological advancement, versatility and flexible access, Qwen3-Max-Preview is ideal for researchers, enterprises and developers working with complex information and long content.


Key Features of Qwen3-Max-Preview

  • Extra Large Contextual Processing Capability: A context window supporting 262 k tokens, capable of handling long documents, multi-file code, complex dialogs, and other long content.
  • multilingualism: 100+ languages are supported, especially in Chinese-English comprehension and translation is more accurate.
  • Capacity building: Excels in math, procedures, logical reasoning, accuracy of instruction execution, and reduction of hallucinations.
  • Optimizing Retrieval Augmentation Generation (RAG) and Tool Calling: More suitable for task integration and plug-in applications.
  • Fast response time and excellent price/performance ratio: According to preliminary experience, the model is highly responsive and cost competitive with similar models.

Qwen3-Max-Preview usage scenarios

  • Enterprise-class document processing:: Such as bulk contract analysis, legal paperwork organization, report summarization, etc.
  • Long text comprehension and summarization: books, full-length reports, research papers, etc.
  • Complex multi-step reasoning tasks: e.g. data analysis planning, strategy development, logic validation, etc.
  • Multi-language assistant applications: International customer service, multilingualtranslation tool, Cross-Language Assistant.
  • Code Understanding and Generation: Cross-language code generation, code review, AI coding assistant.

How to use Qwen3-Max-Preview?

  1. access method::
    • Available through the Qwen Chat web front-end (chat.qwen.ai), some areas contain trial credits.
    • Or log in to the AliCloud Model Studio console and call the qwen3-max-preview interface; select "Preview Version".
  2. Scheduled use on demand::
    • Adjust the input context length according to the task complexity, together with the context cache can reduce the duplication overhead.
    • Use the tiered pricing model to match the most reasonable fee range to the input token level.

Recommended Reasons

  • Technology FrontiersThe 1T+ parameters and large context window lead the domestic superLarge ModelTechnology Trends.
  • powerful: Leading performance on tasks such as reasoning, programming, logic, and translation, reducing errors and illusions.
  • Efficient and practical: Ideal for processing long documents and complex scenarios, it is responsive and cost-effective.
  • Multi-language support: Globalization has a low threshold of use and is adapted to multilingual tasks.
  • Eco-accessibility: Supports web interface use and API programming access, flexible application.

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