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Qwen Max 2025-09-23

Qwen Max is a large MoE LLM excelling in chat, coding, and complex problem-solving, pre-trained on 20T tokens

Qwen Max 2025-09-23Techflow Logo - Techflow X Webflow Template

Qwen Max 2025-09-23

Multilingual MoE model for diverse tasks

Qwen Max 2025-09-23 Description

Qwen Max 2025-09-23, developed by Alibaba, is a large-scale Mixture-of-Experts (MoE) language model optimized for chat, coding, and complex problem-solving tasks. It employs a Transformer-based MoE architecture with expert routing, activating a subset of parameters per token to balance performance and compute efficiency. Pre-trained on over 20 trillion tokens from diverse multilingual and domain-specific corpora, Qwen Max supports deep reasoning and advanced text generation.

Technical Specifications

  • Architecture: Transformer-based Mixture-of-Experts (MoE) with selective expert activation per input token
  • Total Parameters: Not explicitly specified but aligned with large-scale MoE designs
  • Pre-training Data: More than 20 trillion tokens, including extensive English and Chinese textual data and various major world languages
  • Context Window: 262K tokens native
  • Language Support: Primarily English and Chinese
  • Training Methods: Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF)
  • Intended Use: Chat interactions, code generation, and complex question answering

Key Capabilities

  • Efficient MoE architecture enabling strong performance with reduced computational cost
  • Supports bilingual proficiency in English and Chinese for broad application scenarios
  • Excels in coding tasks, problem-solving, and conversational AI, facilitating code generation and complex reasoning
  • Employs advanced fine-tuning strategies to enhance generation quality and alignment with human preferences
Performance Metrics

Usage

Code Samples:

The model is available on the AI/ML API platform as "Qwen Max 2025-09-23" .

API Documentation:

Detailed API Documentation is available here.

Ethical Guidelines and Licensing

  • Alibaba emphasizes transparency about Qwen Max's capabilities and limitations
  • Encourages responsible and ethical use to avoid misuse or harmful content generation
  • Governed by specific licensing terms provided by Alibaba Cloud, with users advised to review usage permissions and restrictions

Get Qwen Max 2025-09-23 API here.

Qwen Max 2025-09-23 Description

Qwen Max 2025-09-23, developed by Alibaba, is a large-scale Mixture-of-Experts (MoE) language model optimized for chat, coding, and complex problem-solving tasks. It employs a Transformer-based MoE architecture with expert routing, activating a subset of parameters per token to balance performance and compute efficiency. Pre-trained on over 20 trillion tokens from diverse multilingual and domain-specific corpora, Qwen Max supports deep reasoning and advanced text generation.

Technical Specifications

  • Architecture: Transformer-based Mixture-of-Experts (MoE) with selective expert activation per input token
  • Total Parameters: Not explicitly specified but aligned with large-scale MoE designs
  • Pre-training Data: More than 20 trillion tokens, including extensive English and Chinese textual data and various major world languages
  • Context Window: 262K tokens native
  • Language Support: Primarily English and Chinese
  • Training Methods: Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF)
  • Intended Use: Chat interactions, code generation, and complex question answering

Key Capabilities

  • Efficient MoE architecture enabling strong performance with reduced computational cost
  • Supports bilingual proficiency in English and Chinese for broad application scenarios
  • Excels in coding tasks, problem-solving, and conversational AI, facilitating code generation and complex reasoning
  • Employs advanced fine-tuning strategies to enhance generation quality and alignment with human preferences
Performance Metrics

Usage

Code Samples:

The model is available on the AI/ML API platform as "Qwen Max 2025-09-23" .

API Documentation:

Detailed API Documentation is available here.

Ethical Guidelines and Licensing

  • Alibaba emphasizes transparency about Qwen Max's capabilities and limitations
  • Encourages responsible and ethical use to avoid misuse or harmful content generation
  • Governed by specific licensing terms provided by Alibaba Cloud, with users advised to review usage permissions and restrictions

Get Qwen Max 2025-09-23 API here.

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