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

Input Tokens

6706

Output Tokens

158

Cost

$0.00

Context

Input

Which patient talked on the phone with a doctor, and what were their symptoms?

Expected output

Melisa Farrow, who had 38.5°C fever, cough, her left side hurts, has pain when breathing and feels dizzy

Model output

Oscar Jansson spoke with Dr. Helena Nyström. His symptoms included difficulty breathing, a feeling of tightness in the chest, and occasional dry cough. He later reported worsening symptoms including mild fever, body aches, and wheezing during physical activity. He was ultimately diagnosed with mild persistent asthma and a suspected viral upper respiratory infection.