# Close-ended QA on MedQA Source: [Close-ended QA on MedQA]() Collection index: [llms.txt]() Data updated: 2026-02-27T09:12:07.480Z Evaluation of model performance on the MedQA dataset for Close-ended Question Answering, typically measured by Accuracy. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Close-ended QA | | Dataset (including any stated split) | MedQA | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 2 of 2 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Med-Gemini-L 1.0 | 91.1 | Not recorded | 68fa730a1e209131cea5a0f8 | | GPT-4 with MedPrompt | 90.2 | Not recorded | 68fa730a1e209131cea5a0f8 | ### Med-Gemini-L 1.0 Accuracy: 91.1. Result ID: 69a15fe235dfcabb00e69ec1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"OOD":false}. This record does not assert independent reproduction. ### GPT-4 with MedPrompt Accuracy: 90.2. Result ID: 69a15fe235dfcabb00e69ec2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"OOD":false}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.