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
2s
Input Tokens
7599
Output Tokens
346
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
The patient who talked on the phone with a doctor (or nurse, acting on the doctor's behalf) was Melisa Farrow. She called the clinic on 2025-05-20 at 08:12. Her symptoms at that time included chills, increased pain when breathing, aching on her left side when coughing, and a fever of 38.5°C (which she confirmed upon checking).