Opper

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.

Context Reasoning – mistral/mistral-medium-2508-eu Task | Opper AI

Input Tokens

650905

Output Tokens

11680

Duration

457476.474

Cost

0

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.