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
9s
Input Tokens
7455
Output Tokens
685
Cost
$0.00
Context
Input
Which patient had a more dangerous medical timeline?
Expected output
Melisa Farrow
Model output
Melisa Farrow experienced a more dangerous medical timeline. She developed acute community-acquired pneumonia, which required hospitalization, intravenous antibiotics, and oxygen therapy due to a significant decline in her health, including fever, low oxygen saturation, and elevated inflammatory markers. In contrast, Oscar Jansson was diagnosed with mild persistent asthma, which was managed with inhaled medication and rest, and he did not require hospitalization.