机械设备事件点评：DeepSeek有望为机器人带来质效跃迁，关注多模态交互进展

Investment Rating - The report rates the industry as "Outperform" [4][30]. Core Insights - DeepSeek stands out with significant price advantages and comparable reasoning capabilities to leading models like OpenAI's [4][5]. - The architecture of DeepSeek, based on MLA+MoE, reduces inference costs and enhances computational efficiency, shifting industry focus from training to inference [4][8]. - The deployment of DeepSeek is expected to catalyze advancements in humanoid robots, particularly in industrial and logistics applications [12][15]. Summary by Sections Industry and Sector - The report highlights the progress in multimodal interactions and the potential of AI models like DeepSeek to transform humanoid robotics [2][12]. Performance Comparison - DeepSeek V3 demonstrates competitive performance metrics against models like GPT-4 and Claude-3.5, with a notable cost advantage [5][7]. - The cost structure of DeepSeek shows a significant reduction in pricing per million tokens compared to competitors [7][26]. Technological Advancements - DeepSeek's MLA+MoE architecture allows for efficient processing and reduced memory usage, enhancing model performance [8][10]. - The model's training efficiency is improved through innovative methods, achieving a substantial reduction in computational costs [11][9]. Market Trends - The humanoid robotics sector is expected to see growth driven by AI advancements, with DeepSeek playing a crucial role in enhancing robot capabilities [12][15]. - The report anticipates that humanoid robots will first be deployed in industrial, logistics, medical, and retail sectors from 2024 to 2035 [12][15]. Business Model - DeepSeek targets the long-tail market by providing customized, low-cost AI solutions, avoiding direct competition with larger firms [17][19]. - The report suggests that DeepSeek may adopt profitable strategies similar to leading international companies in the humanoid robotics space [20][22].