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
21s
Input Tokens
7755
Output Tokens
421
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. She developed community-acquired pneumonia that rapidly deteriorated within 24 hours, requiring emergency hospitalization, IV antibiotics, and oxygen support. Her condition involved significant infection markers (CRP: 98 mg/L, WBC: 13.7), hypoxemia (O2 sat: 93%), and pleural involvement. In contrast, Oscar Jansson had mild persistent asthma that was successfully managed outpatient with inhalers and made a full recovery without any emergency interventions or hospitalization.