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

12s

Input Tokens

7373

Output Tokens

152

Cost

$0.00

Context

Input

Which patient had a more dangerous medical timeline?

Expected output

Melisa Farrow

Model output

Melisa Farrow had a more dangerous medical timeline. Her condition rapidly deteriorated, leading to hospitalization for pneumonia. Oscar Jansson's asthma progressed more slowly and was manageable with medication.