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
11s
Input Tokens
6699
Output Tokens
178
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, as her condition rapidly deteriorated into community-acquired pneumonia requiring hospitalization and intravenous antibiotics, whereas Oscar Jansson's asthma was managed outpatient and resolved with inhaler therapy.