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。
阿里健康发布自研医学大模型“氢离子”，主打低幻觉、高循证，所有回答均有权威出处并支持溯源，旨在成为医疗领域幻觉率最低的AI工具，目前已结束内测并向医生开放。
国产医疗大模型Baichuan-M3发布，拥有2350亿参数，融合医学文献、临床指南等数据，专注于医疗场景，具备高准确性和低幻觉率，提供智能问诊与用药建议。
百川大模型发布医疗大模型Baichuan-M2Plus，升级应用百小应并开放API接口。评测显示，该模型医疗幻觉率显著低于通用大模型，较DeepSeek降低约3倍，表现优于美国OpenEvidence应用。
Openai
$7.7
Input tokens/M
$30.8
Output tokens/M
200
Context Length
Anthropic
$7
$35
Google
$2.1
$17.5
1k
$0.7
$2.8
Alibaba
-
$8
$240
52
$15.8
$12.7
64
Bytedance
$0.8
$2
128
$0.15
$1.5
256
Xai
$1.4
$10.5
32
$0.4
$8.75
$70
400
$0.35
$15
Iflytek
$4
$16
cpatonn
Qwen3-Omni-30B-A3B-Captioner是基于Qwen3-Omni-30B-A3B-Instruct微调得到的细粒度音频分析模型，专门为任意音频输入生成详细且低幻觉的描述，在复杂多样的音频场景中表现出色。
Locutusque
这是一个通过合并Locutusque/TinyMistral-248M-Instruct和Felladrin/TinyMistral-248M-SFT-v4并使用mergekit工具创建的模型，融合了两者的优势，具有编程能力和推理技巧，同时保持低幻觉和良好的指令遵循能力。
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