2026年初，全球医疗大模型竞争加剧。OpenAI推出ChatGPT Health，Anthropic和谷歌也分别发布Claude for Healthcare和MedGemma1.5。国产医疗大模型展现出强劲竞争力，如百川智能的Baichuan-M3及M3Plus在多项指标上已超越GPT-5.2。
百川智能推出Baichuan-M3 Plus医疗大模型，专为高可靠性医疗场景设计。该模型将“六源循证范式”融入训练与推理全流程，确保诊断建议、用药提示等均基于权威医学证据。其事实性幻觉率降至2.6%，相比GPT-5.2降低超30%，显著提升医疗AI的临床可信度。
百川智能发布Baichuan-M3Plus模型，在医疗问答准确性和可靠性上进一步提升，显著降低了幻觉率，刷新了行业纪录。
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百川智能开发的专为医疗场景优化的开源大语言模型，具备卓越的通用能力和医疗领域性能。
百川智能的语言 AI 助手，懂搜索的 AI 助手。
Openai
$2.8
输入tokens/百万
$11.2
输出tokens/百万
1k
上下文长度
-
Anthropic
$105
$525
200
$7
$35
$21
Alibaba
$4
$16
$1
$10
256
$2
$20
Baidu
128
$3.9
$15.2
64
$15.8
$12.7
Bytedance
$0.8
$0.15
$1.5
32
Xai
$1.4
$10.5
Deepseek
$12
$54
$163
baichuan-inc
百川-7B是由百川智能研发的开源大规模预训练语言模型，基于Transformer架构，拥有70亿参数，在中英双语语料上训练，支持4096长度的上下文窗口。
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