Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making
We introduce Baichuan-M3, a medical-enhanced large language model engineered to shift the paradigm from passive question-answering to active, clinical-grade decision support. Addressing the limitations of existing systems in open-ended consultations, Baichuan-M3 utilizes a specialized training pipeline to model the systematic workflow of a physician. Key capabilities include: (i) proactive information acquisition to resolve ambiguity; (ii) long-horizon reasoning that unifies scattered evidence into coherent diagnoses; and (iii) adaptive hallucination suppression to ensure factual reliability. Empirical evaluations demonstrate that Baichuan-M3 achieves state-of-the-art results on HealthBench, the newly introduced HealthBench-Hallu and ScanBench, significantly outperforming GPT-5.2 in clinical inquiry, advisory and safety. The models are publicly available at https://huggingface.co/collections/baichuan-inc/baichuan-m3.
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Baichuan-M3 Team
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Chengfeng Dou
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Fan Yang
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2026-02-09T14:32:20.075Z
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FanYang
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Fei Li
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2026-02-09T21:07:14.055Z
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lifei
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Jiyuan Jia
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Qiang Ju
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Shuai Wang
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Tianpeng Li
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Xiangrong Zeng
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Yijie Zhou
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2026-02-11T11:20:27.499Z
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Jie
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Hongda Zhang
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Jinyang Tai
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Linzhuang Sun
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Peidong Guo
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2026-02-09T08:36:44.605Z
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Peidong Guo
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Yichuan Mo
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Xiaochuan Wang
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Hengfu Cui
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Zhishou Zhang
Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making
We introduce Baichuan-M3, a medical-enhanced large language model engineered to shift the paradigm from passive question-answering to active, clinical-grade decision support. Addressing the limitations of existing systems in open-ended consultations, Baichuan-M3 utilizes a specialized training pipeline to model the systematic workflow of a physician. Key capabilities include: (i) proactive information acquisition to resolve ambiguity; (ii) long-horizon reasoning that unifies scattered evidence into coherent diagnoses; and (iii) adaptive hallucination suppression to ensure factual reliability. Empirical evaluations demonstrate that Baichuan-M3 achieves state-of-the-art results on HealthBench, the newly introduced HealthBench-Hallu and ScanBench, significantly outperforming GPT-5.2 in clinical inquiry, advisory and safety. The models are publicly available at https://huggingface.co/collections/baichuan-inc/baichuan-m3.
Baichuan-M3 is a medical-enhanced large language model designed for clinical decision support with capabilities in proactive information gathering, long-horizon reasoning, and hallucination suppression.
large language model clinical decision support proactive information acquisition long-horizon reasoning hallucination suppression HealthBench HealthBench-Hallu ScanBench