Context Reasoning

Context understanding and reasoning tasks test accurate answers grounded in provided context. This capability is essential for knowledge-base support bots, policy lookup systems, and internal knowledge Q&A applications. Models are evaluated on their ability to provide accurate answers that are properly grounded in the given context rather than hallucinating information.

100
Duration
14s
Input Tokens
5899
Output Tokens
941
Cost
$0.00
Context
Input
Which patient had a more dangerous medical timeline?
Expected output
Melisa Farrow
Model output
Melisa Farrow had a more dangerous medical timeline compared to Oscar Jansson, as she required hospital admission for community-acquired pneumonia and underwent inpatient treatment, whereas Oscar's condition, though requiring medical attention, was managed with outpatient care and did not result in hospitalization.