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 – mistral/magistral-medium-2506-eu Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Context

Input

What message did Oscar send to Dr. Nyström after recovering?

Expected output

He thanked her, said he was feeling much better, had resumed running, and would not need another visit for now

Model output

Oscar sent a message to Dr. Nyström expressing his gratitude for the treatment, mentioning that the medication has helped significantly and that he has been able to resume running without issues. He also stated that he will continue with the inhaler as instructed and will reach out if anything changes.