At the beginning of 2026, the field of medical large models heated up again. OpenAI took the lead in launching two medical large models, ChatGPT Health and OpenAI for Healthcare, which quickly prompted responses from Anthropic and Google. Anthropic released Claude for Healthcare, while Google updated its MedGemma 1.5 (4B) version. Meanwhile, the development of domestic medical large models was no less impressive. Baichuan-M3 and Baichuan-M3 Plus released by Baichuan Intelligence outperformed GPT-5.2 in terms of performance. Companies such as Ant Afu and JD Health also ventured into this field. Considering technical adaptability, localized support, and policy factors, foreign medical large models face numerous challenges in directly being implemented in domestic medical scenarios, while domestic large models demonstrate strong competitiveness. Based on a comprehensive evaluation from multiple dimensions including performance, iteration speed, resource integration, data advantages, and industry enthusiasm, VB Data Monitor selected the top 10 most anticipated domestic medical large models for 2026, including those from Baichuan, Baidu, and Fangzhoujianke. Additionally, companies like Shukun and Alibaba DAMO Academy are also actively making strategic layout (layouts). The competition in the medical large model sector is becoming increasingly fierce, and it remains to be seen who will stand out in the future.