让OpenAI只领先5天，百川发布推理新模型，掀翻医疗垂域开源天花板

Core Viewpoint - Baichuan-M2-32B, a new medical reasoning model from Baichuan, surpasses all existing open-source and closed-source models except for GPT-5 in the Healthbench evaluation, indicating a significant advancement in AI medical applications [1][2][19]. Group 1: Model Performance - Baichuan-M2 is designed for real-world medical reasoning tasks and has 32 billion parameters, outperforming larger models in various benchmarks [12][13]. - In the HealthBench standard version, Baichuan-M2 achieved state-of-the-art (SOTA) performance, surpassing models like gpt-oss-120B and DeepSeek-R1 [19]. - In the HealthBench Hard version, Baichuan-M2 scored 34.7, making it one of only two models globally to exceed a score of 32, alongside GPT-5 [26][28]. Group 2: Accessibility and Deployment - The model can be deployed on a single RTX 4090 card, making it affordable for small and medium-sized medical institutions [4][35]. - Baichuan-M2's lightweight design reduces deployment costs significantly, allowing for a 57-fold cost reduction compared to previous models [35][56]. Group 3: Focus on Medical Applications - AI in healthcare is a highly discussed vertical, with significant attention from major AI companies, including OpenAI, which emphasizes its importance in real-world applications [5][6][7][68]. - Baichuan has positioned itself as a pioneer in focusing on AI medical applications, being the first major model company in China to do so [8][70]. Group 4: Innovative Training Techniques - Baichuan-M2 employs a Large Verifier System and a patient simulator to enhance its medical reasoning capabilities through reinforcement learning [40][44]. - The model's training incorporates a diverse dataset, balancing high-quality medical data with general data to maintain its overall capabilities [49][50]. Group 5: Real-World Collaboration - Baichuan has initiated collaborations with institutions like Beijing Children's Hospital to implement AI medical solutions in practical settings [66].