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.

100
Duration
8s
Input Tokens
4149
Output Tokens
307
Cost
$0.00
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 on 2025-06-11 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."

The message expressed gratitude for the treatment, reported significant improvement including the ability to run without issues, confirmed he would continue the prescribed inhaler treatment, and indicated no immediate need for a follow-up visit.