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
8s
Input Tokens
2772
Output Tokens
73
Cost
$0.00
Context
Input
What are the names of the two places the author mentions drinking coffee in
Expected output
El Escondite, Café 1954
Model output
The two places the author mentions drinking coffee are "Cafés with names like El Escondite and Café 1954."