Ant Bailing has launched Ling-3.0-flash-Sante, a medical AI model using MoE architecture with 124 billion total parameters and only 5.1 billion active per token. In benchmarks, Sante achieved 83.8 on DiagnosisArena-MCQ, surpassing GPT-5.6 Sol (81.9), Kimi K3 (78.4), and Gemini 3.6 Flash (76.2). On MedXpertQA-Text, it scored 53.9, slightly above Kimi K3 but below GPT-5.6 Sol and Gemini 3.6 Flash. The model also performed well on BrowseComp, DeepSearchQA, and HLE with tools, emphasizing self-research and answer generation. For medical ethics, Sante scored 82.1 on MedEthicAlign and 78.6 on the internal safety test AFUSAFE-MedSCE. It is now freely accessible via OpenRouter and Vercel.
Model Overview
Ant Bailing has rolled out a medical health model named Ling-3.0-flash-Sante. It is built on the Ling-3.0-flash base and uses a MoE architecture, with 124 billion total parameters while activating only about 5.1 billion per token. Its main abilities cover medical reasoning, drug safety, evidence-based retrieval, and long-cycle medical research.
Benchmark Performance
By Ant Bailing's own evaluation, Sante posted an 83.8 on DiagnosisArena-MCQ. That put it ahead of GPT-5.6 Sol at 81.9, Kimi K3 at 78.4, and Gemini 3.6 Flash at 76.2. On MedXpertQA-Text, Sante reached 53.9. A narrow edge. It was slightly above Kimi K3's 53.5, but still behind GPT-5.6 Sol's 60.2 and Gemini 3.6 Flash's 62.4.
Broader Abilities and Safety
But Sante is not just a model for medical multiple-choice questions. Ant Bailing tested it on BrowseComp, DeepSearchQA, and HLE with tools as well, with the goal of improving how it searches for information and answers on its own. On medical ethics and safety, Sante scored 82.1 on MedEthicAlign and 78.6 on the internal safety test AFUSAFE-MedSCE.
Availability
Sante is already live on OpenRouter and Vercel. Users can call it there for free.
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