Wenxin Big Model X1.1 - A deep thinking model launched by Baidu
Wenxin Big Model X1.1 is a deep thinking model launched by Baidu. Based on an iterative hybrid reinforcement learning framework, it significantly improves the capabilities of factuality, instruction compliance, and agent intelligence, increasing them by 34.8%, 12.5%, and 9.6%, respectively. In terms of weight...
What is Wenxin's large model X1.1?
Wenxin Big Model X1.1 is a deep thinking model launched by Baidu. Based on an iterative hybrid reinforcement learning framework, it significantly improves in factuality, instruction compliance, and agent capabilities, with increases of 34.8%, 12.5%, and 9.6%, respectively. In authoritative evaluations, its performance surpasses DeepSeek R1-0528 and is on par with GPT-5 and Gemini 2.5 Pro. Users can access Wenxin Big Model X1.1 through the Wenxin Yiyan official website and the Wenxiaoyan APP. It is also available on the Baidu Smart Cloud Qianfan Platform, fully open to enterprise customers and developers, promoting the widespread application of artificial intelligence technology.
Main functions of Wenxin Large Model X1.1
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Strong understanding of factual knowledgeFactual ability improved by 34.8%, enabling them to accurately understand and provide answers to knowledge-based questions such as history and science.
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Highly efficient command complianceThe ability to follow instructions has improved by 12.5%, enabling it to accurately understand and complete various text generation and task instructions from users with high quality.
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Enhanced capabilities of intelligent agentsThe intelligent agent's capabilities have been improved by 9.6%, enabling it to simulate intelligent agent behavior, such as recognizing emotions and calling tools to handle customer complaints in intelligent customer service.
Technical Principles of Wenxin Large Model X1.1
- Deep learning architectureThe Wenxin Big Model X1.1 adopts an advanced deep learning architecture based on the Transformer model. Through the combination of multi-head self-attention and feed-forward neural networks, it can effectively process long text sequences and capture long-distance dependencies in the text.
- Hybrid reinforcement learning training frameworkBy simultaneously improving performance on both general and agent-based tasks, the model can outperform in a variety of scenarios. High-quality training data is generated through self-distillation technology, enabling iterative training and continuous improvement of the model's overall performance.
The official website for the Wenxin Large Model X1.1 project.
- Project official websiteA Word from the Heart
Application scenarios of Wenxin Large Model X1.1
- Intelligent Customer ServiceThe Wenxin Big Model X1.1 can recognize user emotions and needs, and automatically complete customer complaints through multi-round dialogue, improving customer service efficiency and user experience.
- Content creationThe model can generate text content such as news, articles, and stories, directly polishing and rewriting existing text, improving the efficiency and quality of content creation.
- EducationThe model provides students with personalized learning guidance, generates teaching outlines, lesson plans and other educational resources, and helps to make education more intelligent.
- HealthcareWenxin Big Model X1.1 provides medical knowledge Q&A and intelligent auxiliary diagnosis to help users understand health information and assist doctors in making preliminary diagnoses.
- Financial sectorModel X1.1 supports the analysis of financial data, provides risk assessment and investment advice, and helps financial institutions improve decision-making efficiency.