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
4053
Output Tokens
170
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 showed a positive response to the bronchodilator during testing. Specifically, there was a +15% increase in FEV1 after bronchodilator administration, which indicates reversible airway obstruction and is consistent with asthma. This positive bronchodilator response was a key finding that helped confirm the diagnosis of mild persistent asthma.