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 talked on the phone with a doctor, and what were their symptoms?

Expected output

Melisa Farrow, who had 38.5°C fever, cough, her left side hurts, has pain when breathing and feels dizzy

Model output

Melisa Farrow talked on the phone with Dr. Arvid Lindholm. Her symptoms included fever (38.5°C), chills, worsening pleuritic chest pain on her left side, persistent cough, and dizziness. These occurred during a left lower lobe community-acquired pneumonia confirmed via chest X-ray and elevated CRP (98 mg/L), with a temporary diagnosis of pleuritis secondary to infection.