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.

0
Duration
2s
Input Tokens
6699
Output Tokens
575
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 diagnosis of community-acquired pneumonia requiring hospitalization and IV antibiotics, compared to Oscar Jansson's mild asthma managed as an outpatient.