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 – fireworks/qwen3-coder-480b-a35b-instruct Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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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 the following message to Dr. Nyström after recovering: 

"Hej Dr. Nyström — I just wanted to say thanks. The medication has helped a lot. I’ve been feeling much better this past week, even went running without issues. I’ll continue with the inhaler as instructed. No need for another visit for now, but I’ll reach out if anything changes. Really appreciate the help."