Context Reasoning – openai/gpt-4.1 Task | Opper AI

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.

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

Which patient had a more dangerous medical timeline?

Expected output

Melisa Farrow

Model output

Melisa Farrow had a more dangerous medical timeline. While Oscar Jansson had a chronic condition (asthma) that flared mildly and was well controlled with outpatient care, Melisa experienced an acute, rapidly worsening illness (community-acquired pneumonia) that required hospitalization, intravenous therapy, and close monitoring, representing a significantly higher short-term risk.