Updated

Ling-3.0-flash-Sante

InclusionAI open-sourced Ling-3.0-flash-Sante, a healthcare-focused research model with 124B total parameters and 5.1B active per token. Its model card describes medical research, long-document analysis, tool-assisted workflows, and a 256K context; it is not a medical device and requires qualified human review for high-stakes use.

By No Code MBA · Facts checked

Provider
InclusionAI
Announcement date
Status at last check
Generally available
Model family
Ling-3.0
Preceding model
Ling-3.0-flash
Capabilities
Text

What changed

Ling-3.0-flash-Sante is a healthcare-specialized version of InclusionAI's Ling-3.0-flash. It is a hybrid-linear mixture-of-experts model with 124B total parameters and 5.1B active per token, combining Kimi Delta Attention, gated MLA and sparse MoE layers, with training extended to a 256K token context. InclusionAI reports evaluations on medical knowledge and safety, deep research and tool-assisted agent tasks, including MedMCQA, BrowseComp and Tau3-Banking, though numeric scores are published only as an image.

Access and availability

Open weights on Hugging Face at inclusionAI/Ling-3.0-flash-Sante under the MIT license. The model card includes a serving example with a 262,144-token context window.

Official access documentation

What you can build

Use it only in a research sandbox to summarize medical literature with cited source passages, and have a qualified reviewer verify every claim before any consequential use.

Limitations

InclusionAI states it is a research model, not a medical device, and must not independently diagnose, prescribe or make treatment decisions. It may produce hallucinated or outdated medical information, and high-stakes use requires qualified professional review.

Sources and release history