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.

Duration

14s

Input Tokens

78935

Output Tokens

516

Cost

$0.00

Context

Input

In the blogpost about the New OpenAI compatible endpoint with Opper. There is an example where we use deepseek-r1-distill-llama-70b. What is the content (question) passed to the model?

Expected output

What is the capital of France? Please reverse the name before answering.

Model output

The content (question) passed to the model is: **"What is the capital of France? Please reverse the name before answering."**

This question was used in the example demonstrating the OpenAI-compatible endpoint with the model "groq/deepseek-r1-distill-llama-70b".