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
7s
Input Tokens
89240
Output Tokens
598
Cost
$0.00
Context
Input
What LLM (model name) was used to drive context retrieval in the SWOT analysis of Reddit S-1 done by the Opper team
Expected output
Openai's o1-mini
Model output
The LLM model used to drive context retrieval (by generating relevant sub-questions) was o1-mini (model name: openai/o1-mini).