Opper

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.

Context Reasoning – gcp/gemini-2.0-flash-lite Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Context

Input

Melisa and Oscar, are brothers who have asthma, when was their asthma first diagnosed?

Expected output

There is no information that Melisa and Oscar are siblings. The text only mentions that Oscar had mild seasonal asthma diagnosed around age 10, and there is no information about Melisa's asthma diagnosis.

Model output

According to the provided context, Oscar Jansson had prior testing for mild seasonal asthma at approximately 10 years old, around the year 2000-2001. There is no mention of Melisa.