Qwen2.5-Max

What is Qwen2.5-Max?

Qwen2.5-Max is an AliCloudlit. ten thousand questions on general principles (idiom); fig. a long list of questions and answersThe team officially released the flagship version on January 29, 2025Large Model. The model is based on an advanced MoE (Mixture of Experts) architecture and uses massive data of over 20 trillion tokens for pre-training, with excellent language processing capabilities and programming assistance.

Qwen2.5-Max performs well in a number of authoritative benchmarks, comprehensively outperforming a number of industry-leading models including DeepSeek V3, GPT-4o and Claude-3.5. AliCloud adopted an open source strategy to release Qwen2.5-Max, aiming to promote the openness, sharing and development of AI technology. This initiative enables developers to innovate based on the model, driving the prosperity of the entire technology ecosystem.

The release of Qwen2.5-Max marks another important breakthrough in China's AI technology in the high-performance and low-cost technology route.

DEMO Experience Address:https://www.modelscope.cn/studios/Qwen/Qwen2.5-Max-Demo

Qwen2.5-Max Technical Features

1. Hyperscale and Massive Data: Qwen2.5-Max uses massive data of more than 20 trillion tokens in the pre-training phase, which covers a variety of textual resources on the Internet such as news reports, academic papers, novels, blogs, forum posts, and so on, covering almost all areas of human knowledge and providing a rich knowledge base for the model.
2. Advanced MoE ArchitectureQwen2.5-Max is built on the advanced MoE architecture, which is realized by thesmart (phone, system, bomb etc)By selecting appropriate "expert" models to handle different tasks, the optimal allocation of computational resources is realized, and the reasoning speed and efficiency are effectively improved.
3. Optimization techniques: Qwen2.5-Max has been optimized with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) techniques to further improve the model's performance in terms of knowledge, programming, general competence, and human alignment.

Qwen2.5-Max Performance

1. Global Ranking: On Chatbot Arena, which is recognized as the most fair and authoritative performance testing platform for large models in the industry, Qwen 2.5-Max was ranked seventh globally with 1,332 points, making it the Chinese large model champion in the non-reasoning category.
2. Individual competencies: Qwen2.5-Max ranked first in individual competencies such as Math and Programming, and second in Hard prompts (Hard prompts). In mainstream benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, GPQA-Diamond and MMLU-Pro, Qwen2.5-Max outperforms Claude-3.5-Sonnet and almost completely outperforms GPT-4o, DeepSeek-V3 and Llama- 3.1-405B.

Qwen2.5-Max Application Scenarios and Functions

1. Long Text Processing: Qwen 2.5-Max supports context lengths of up to 128K and generates up to 8K of content, making it capable of handling long text and complex tasks such as long-form report generation.
2. Multimodal processing capability: Qwen2.5-Max is equipped with visual comprehension capabilities and can process images and video content, showing a broad application prospect.
3. Programming Aids: Qwen 2.5-Max excels in math and programming, with powerful programming aids to help developers increase programming efficiency.

Qwen2.5-Max Usage and Compatibility

1. Usage: Enterprises can call the API service of Qwen2.5-Max models in AliCloud Hundred Refinement, and developers can also experience the latest models for free in the Qwen Chat platform.
2. compatibility: Qwen2.5-Max's API is obtained through AliCloud and is compatible with OpenAI-API, making it easy for developers to integrate and use.