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

12s

Input Tokens

3169

Output Tokens

742

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, showing a 15% increase in FEV1 (Forced Expiratory Volume in 1 second). This positive response indicated reversible airway obstruction, which is consistent with asthma.