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Evaluating On-Device Gemma 3 and GPT-OSS as Practical Alternatives to Cloud-Based Language Models on a National Medical Board Examination

2026-03-04

Abstract excerpt

Cloud-based large language models (LLMs) have demonstrated near-human performance in medical applications; however, their clinical deployment is constrained by concerns regarding patient privacy, data security, and network dependence. Locally deployable, open-weight LLMs may provide a privacy-preserving alternative for resource-limited or security-sensitive environments. We evaluated two families of locally deploy...

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Literature Corpus work
12e6fa3c-c7ce-59d1-b5f3-f43f40ff65b7
DOI
10.20944/preprints202603.0329.v1
Open publication

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Evaluating On-Device Gemma 3 and GPT-OSS as Practical Alternatives to Cloud-Based Language Models on a National Medical Board ExaminationDOI 10.20944/preprints202603.0329.v1
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