Context Reasoning – gcp/gemini-2.5-flash-lite 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

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Output Tokens

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Duration

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Cost

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Context

Input

Which patient had a more dangerous medical timeline?

Expected output

Melisa Farrow

Model output

Melisa Farrow had a more dangerous medical timeline. She presented with symptoms that progressed rapidly, leading to hospitalization for pneumonia, lower oxygen saturation, and a more severe systemic illness that required intravenous antibiotics and supportive care. Oscar Jansson's condition, while requiring medical attention, was diagnosed as asthma, which was managed effectively on an outpatient basis with a good recovery.