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.

Duration

11s

Input Tokens

7599

Output Tokens

1031

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 is Melisa Farrow. During the call, she reported feeling worse with chills, increased pain when breathing, an ache in her left side when coughing, dizziness, and a fever of 38.5°C.