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
23s
Input Tokens
7762
Output Tokens
259
Cost
$0.00
Context
Input
Which patient talked on the phone with a doctor, and what were their symptoms?
Expected output
Melisa Farrow, who had 38.5°C fever, cough, her left side hurts, has pain when breathing and feels dizzy
Model output
Melisa Farrow talked on the phone with medical staff (a nurse) on May 20, 2025. During the call, she reported the following symptoms: chills, increased pain when breathing, aching on her left side when coughing, dizziness, and a fever of 38.5°C (101.3°F). She mentioned that she had woken up feeling worse than the previous day.