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.

0
Duration
10s
Input Tokens
3051
Output Tokens
597
Cost
$0.00
Context
Input
How many cities does the author mention
Expected output
19
Model output
The author mentions a total of 16 distinct cities across all the journal entries: Granada, Córdoba, Sevilla, Cádiz, Málaga, Jaén, Toledo, Madrid, Ávila, Salamanca, Zamora, San Sebastián, Bilbao, Valencia, Tangier, and Chefchaouen.