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
4s
Input Tokens
4032
Output Tokens
511
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
During the Pulmonary Function Test (PFT) review, Oscar showed a positive response to the bronchodilator, specifically a 15% increase in his FEV1 (Forced Expiratory Volume in 1 second). This result indicates reversible airway obstruction, which is consistent with asthma.