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 – cerebras/llama-4-maverick-17b-128e-instruct Task | Opper AI

Input Tokens

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Output Tokens

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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

Oscar's asthma was first diagnosed when he was around 10 years old. There is no indication in the provided context that Melisa has asthma; she was diagnosed with community-acquired pneumonia.