Hangzhou, China – August 19, 2025: DeepSeek, a Chinese AI startup headquartered in Hangzhou, has officially launched its latest large language model, DeepSeek V3.1, marking a significant advancement in artificial intelligence technology. The model follows the company’s previous V3 version, which had already attracted global attention for outperforming several Western AI models in standardized benchmarks.
Key Features of DeepSeek V3.1
- Extended Context Window: DeepSeek V3.1 introduces a longer context window, allowing it to process and retain more information within a single query. This improvement enables more coherent and contextually aware interactions, making the model suitable for complex tasks that require sustained attention.
- Increased Parameters: The new model now boasts 685 billion parameters, surpassing the previous 671 billion in V3. This increase contributes to improved performance, versatility, and accuracy across a wide range of applications.
- Optimized Tensor Support: V3.1 supports multiple tensor types, including BF16, F8_E4M3, and F32, enhancing computational efficiency and deployment flexibility for developers.
- Open-Source Availability: The model has been released on platforms such as Hugging Face, allowing researchers and developers to integrate DeepSeek V3.1 into their own applications and projects.
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Strategic Implications
The release of DeepSeek V3.1 highlights China’s growing capabilities in AI development, positioning the country as a competitor to major Western tech giants. By offering an open-source model with advanced features, DeepSeek provides a competitive alternative in the global AI landscape.
However, the company’s dependence on Nvidia chips for training and Huawei chips for inference reflects ongoing challenges in achieving full technological self-sufficiency. Despite these challenges, the model’s launch demonstrates China’s commitment to advancing its AI sector and expanding its global presence.
For more details and to explore DeepSeek V3.1, visit the official website: DeepSeek.
