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.

Duration

10s

Input Tokens

4052

Output Tokens

266

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 bronchodilator testing, Oscar showed a positive response with a 15% increase in FEV1 (Forced Expiratory Volume in 1 second). This positive response indicates reversible airway obstruction, which is consistent with asthma.