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

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

Which patient had a more dangerous medical timeline?

Expected output

Melisa Farrow

Model output

Melisa Farrow had a more dangerous medical timeline. Her condition escalated quickly from mild symptoms to community-acquired pneumonia with pleuritic involvement, requiring hospitalization, IV antibiotics, and close monitoring. In contrast, Oscar Jansson's case involved mild persistent asthma that was managed successfully with inhalers without any need for hospitalization.