Seek .(US:SKLTY) 智通财经网·2025-09-22 23:27Core Insights - DeepSeek has officially upgraded its model to DeepSeek-V3.1-Terminus, enhancing performance based on user feedback and improving language consistency and agent capabilities [1][2] - The new model shows improved stability in output, with benchmark results indicating performance increases in various assessments compared to the previous version [1] - The release of DeepSeek V3.1 is seen as a significant breakthrough for domestic large models and chip ecosystems, reducing reliance on NVIDIA standards and promoting domestic computing power autonomy [2][3] Model Performance - The benchmark results for DeepSeek-V3.1-Terminus show improvements in several areas, including: - MMLU-Pro: 84.8 to 85.0 - Humanity's Last Exam: 15.9 to 21.7 - SimpleQA: 93.4 to 96.8 - BrowseComp: 30.0 to 38.5 [1] - The model's agent capabilities have significantly improved, which is expected to enhance commercial applications of AI agents [3] Industry Impact - The launch of DeepSeek V3.1 has led to a surge in the domestic computing industry, with increased demand for AI chips and related infrastructure [3][4] - The success of DeepSeek is viewed as a victory for open-source models, prompting other Chinese companies to adopt similar open-source strategies [3] - The AI computing demand is projected to grow, benefiting various segments of the computing industry, including AI chips, servers, and related technologies [4] Related Companies - Baidu has released its Wenxin model X1.1, showing significant improvements in performance metrics compared to previous versions and competing models [6] - Alibaba's Tongyi Qianwen has launched the Qwen3-Max-Preview model, marking advancements in the domestic large model sector [6] - SenseTime's new interactive platform integrates with Xiaomi AI glasses, showcasing the application of AI in real-world scenarios [7] - ZTE has introduced several products focused on AI and intelligent computing, facilitating the deployment of DeepSeek models across various industries [7]