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
18s
Input Tokens
8263
Output Tokens
298
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 due to the severity of her community-acquired pneumonia, which required hospitalization and immediate intervention, unlike Oscar Jansson's mild persistent asthma and viral infection, which were managed on an outpatient basis.