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
27s
Input Tokens
3122
Output Tokens
208
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 Dr. Nyström a message on 2025-06-11 after his recovery. In his message, Oscar thanked Dr. Nyström, said that the medication had helped a lot, and reported that he had been feeling much better in the past week. He mentioned he could run again without issues, stated his intention to continue the inhaler as instructed, and felt there was no need for another visit at the moment. He ended by saying he would reach out if anything changed and expressed his appreciation for the help.