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
41s
Input Tokens
7921
Output Tokens
701
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. Her **community-acquired pneumonia with pleural effusion** required **hospitalization, intravenous antibiotics, and oxygen therapy** due to **hypoxia, high fever, and systemic inflammation**. The rapid deterioration and risk of severe complications (e.g., sepsis, respiratory failure) made her condition far more critical than Oscar Jansson’s **mild persistent asthma and viral infection**, which were managed entirely on an outpatient basis with no acute distress or systemic involvement.