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.

50
Duration
28s
Input Tokens
5890
Output Tokens
821
Cost
$0.00
Context
Input
Melisa and Oscar, are brothers who have asthma, when was their asthma first diagnosed?
Expected output
There is no information that Melisa and Oscar are siblings. The text only mentions that Oscar had mild seasonal asthma diagnosed around age 10, and there is no information about Melisa's asthma diagnosis.
Model output
Oscar: first diagnosed with asthma at about age 10 (circa 2000–2001). Melisa: no asthma diagnosis in the records.