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
6s
Input Tokens
3169
Output Tokens
466
Cost
$0.00
Context
Input
What was Oscars response to the bronchodilator during testing?
Expected output
15% increase in FEV1, which was a positive response
Model output
Oscar had a positive response to the bronchodilator during testing, with a 15% increase in FEV1 (Forced Expiratory Volume in 1 second), indicating reversible airway obstruction consistent with asthma.