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

18s

Input Tokens

5882

Output Tokens

177

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 her progression to acute pneumonia, hospitalization, and the need for intravenous antibiotics, whereas Oscar Jansson had a chronic condition (asthma) that developed over time.