Ant Ling Open-Sources Medical-Enhanced Model Ling-3.0-flash-Sante
Ant Ling announced the official open-sourcing of Ling-3.0-flash-Sante, a medical-enhanced MoE model with 124B total parameters that activates only 5.1B parameters per token; the company claims it leads models of the same scale in performance on professional medical tasks and complex medical reasoning. Beyond medical question answering, the model has also been strengthened for deep research, multi-agent collaboration, and tool calling, and its model weights are now available for download.
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An officially open-sourced medical-enhanced MoE model that discloses total and activated parameters, allowing one to assess the positioning of small-activation models on medical tasks.
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Today, we’re officially open-sourcing Ling-3.0-flash-Sante. Sante is a healthcare-enhanced MoE model with 124B total parameters and only 5.1B active parameters per token, delivering leading performance among similarly sized models on professional healthcare tasks and complex medical reasoning. Beyond answering medical questions, Sante is built for real-world healthcare research and workflows, with strengthened capabilities in deep research, multi-agent collaboration, and tool use. The model weights are now available — we welcome researchers, developers, and healthcare practitioners to explore Sante and build with it. More below ↓