Why one benchmark wasn't enough: Interpreting Perplexity Sonar Pro and Gemini 2.5 Pro results

https://reportz.io/ai/when-40-ai-models-faced-1200-hard-questions-what-the-numbers-actually-show/

3 key factors when choosing an evaluation strategy for large language models When you compare model claims such as "Perplexity Sonar Pro shows 37% citation errors" versus "Gemini 2.5 Pro reports 7.0% hallucination, improving on Gemini 2