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
10s
Input Tokens
7847
Output Tokens
378
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 (admitted) to the hospital. She was admitted to Danderyds Sjukhus Internal Medicine Ward on May 20, 2025, after her condition deteriorated with fever (38.8°C), elevated respiratory rate (22/min), decreased oxygen saturation (93%), and confirmed community-acquired pneumonia with left lower lobe infiltrate and pleural effusion. She required inpatient treatment with IV antibiotics, oxygen support, and monitoring before being discharged on May 23, 2025.