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

12s

Input Tokens

7754

Output Tokens

473

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. While Oscar had a chronic condition (asthma) that required ongoing management, Melisa's condition was more acutely dangerous. She developed community-acquired pneumonia that rapidly deteriorated within 24 hours, requiring hospitalization, IV antibiotics, and oxygen therapy. Her oxygen saturation dropped to 93%, she had significant inflammatory markers (CRP of 98 mg/L), and she showed signs of systemic illness including fever and tachycardia. Without prompt hospital intervention, her condition could have deteriorated further, potentially leading to respiratory failure or sepsis. In contrast, Oscar's asthma, while requiring treatment, was managed on an outpatient basis with no need for hospitalization or emergency intervention.