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
3s
Input Tokens
6699
Output Tokens
503
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. She required hospital admission for pneumonia with IV antibiotics, showing severe systemic symptoms like high fever and oxygen desaturation. Oscar Jansson's asthma was managed as an outpatient. Melisa's condition escalated quickly and involved critical interventions like IV fluids and round-the-clock monitoring, whereas Oscar's treatment remained conservative with inhaled medications.