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
8s
Input Tokens
5987
Output Tokens
509
Cost
$0.00
Context
Input
Which patient had to be accepted in the hospital?
Expected output
Melisa Farrow
Model output
Melisa Farrow had to be accepted in the hospital. She was diagnosed with acute community-acquired pneumonia and admitted to Danderyds Sjukhus - Internal Medicine Ward on May 20th, 2025, after experiencing worsening symptoms including fever, chills, and decreased oxygen saturation.