A development team is building a system where one Large Language Model (LLM) generates summaries of news articles. They need a way to automatically check the quality of these summaries. They are considering two approaches for verification:

1. Using the same LLM that generated the summary, but with a different prompt instructing it to act as an evaluator.
2. Using a separate, more powerful (and more expensive) LLM specifically for the evaluation task.

Analyze the trade-offs between these two approaches. In your analysis, consider factors such as cost, potential for bias, and the overall quality of the verification.