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/qwen-3-32b 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

Which patient had to be accepted in the hospital?

Expected output

Melisa Farrow

Model output

Melisa Farrow had to be accepted in the hospital for acute community-acquired pneumonia (CAP). She was admitted to Danderyds Sjukhus (Internal Medicine Ward) on 2025-05-20 after presenting with worsening symptoms including fever (38.8°C), low oxygen saturation (93%), and chest discomfort. The diagnosis was confirmed by chest X-ray showing left lower lobe infiltrate and pleural effusion, requiring intravenous antibiotics and observation.