百川开源全球最强医疗大模型M3，王小川：先把产品打磨好，IPO也在计划中

Core Viewpoint - Baichuan Intelligent has launched its new medical model Baichuan-M3, achieving the highest score in the HealthBench evaluation, indicating a significant advancement in medical AI capabilities [3][5]. Group 1: Performance Metrics - Baichuan-M3 scored 65.1 in the overall HealthBench evaluation, ranking first globally [3]. - In the HealthBench Hard category, which tests complex decision-making abilities, Baichuan-M3 achieved a score of 44.4, also securing the top position [3]. - The model has surpassed OpenAI's GPT-5.2 in performance, marking a significant milestone in the medical AI field [5]. Group 2: Features and Capabilities - Baichuan-M3 has the lowest hallucination rate globally at 3.5, showcasing its reliability in medical applications [5]. - The model features an "end-to-end" serious inquiry capability, allowing it to ask follow-up questions like a doctor, thereby enhancing its medical reasoning abilities [5]. - Its inquiry capabilities are reported to be significantly better than the average performance of human doctors [5]. Group 3: Strategic Vision - The founder of Baichuan Intelligent, Wang Xiaochuan, emphasized that the focus for 2025 will be on enhancing organizational management in healthcare and solidifying the concepts of evidence-based medicine [5][6]. - The company aims to develop capabilities for decision-making assistance and home health care, indicating a commitment to practical applications of AI in healthcare [5]. - Baichuan Intelligent is strategically positioned to tackle high-value medical scenarios, differentiating itself from larger companies that may focus on consensus and broader market strategies [6]. Group 4: Financial Outlook and IPO Plans - Wang Xiaochuan mentioned that Baichuan Intelligent has approximately 3 billion yuan in funding, which will support ongoing investments in the medical AI sector [6]. - The company anticipates the possibility of initiating an IPO in about two years, contingent on product refinement and market acceptance [6].