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
15s
Input Tokens
7755
Output Tokens
649
Cost
$0.00
Context
Input
Which patient had a more dangerous medical timeline?
Expected output
Melisa Farrow
Model output
Melisa Farrow had a significantly more dangerous medical timeline. While Oscar Jansson had a manageable case of mild persistent asthma with a viral respiratory infection that was treated successfully as an outpatient, Melisa developed community-acquired pneumonia that required emergency hospitalization. Her condition deteriorated rapidly overnight, with concerning vital signs including low oxygen saturation (93%), high fever (38.8°C), elevated inflammatory markers, and signs of pleural involvement. She required IV antibiotics, oxygen therapy, and 4 days of inpatient monitoring, whereas Oscar's condition was managed entirely on an outpatient basis with inhaled medications. Pneumonia carries inherent risks of serious complications like sepsis and respiratory failure, making Melisa's case substantially more dangerous than Oscar's asthma exacerbation.