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.

Duration

10s

Input Tokens

5987

Output Tokens

271

Cost

$0.00

Context

Input

Which patient had a more dangerous medical timeline?

Expected output

Melisa Farrow

Model output

Melisa Farrow had the more dangerous medical timeline due to the rapid progression to pneumonia requiring hospitalization and intensive treatment, whereas Oscar Jansson's asthma was mild and managed outpatient.