Part 2/9:
Despite criticisms, Gemini 2.0 holds several advantages that distinguish it from existing models. While it may lag in some benchmark competitions against OpenAI’s GPT-4 and DeepSeek’s latest iteration, its performance in real-world applications gives it a competitive edge that is increasingly hard to ignore. The model reportedly excels in processing extensive volumes of data, such as extracting insights from 6,000 pages of PDFs, an area where no competitor comes close regarding cost-effectiveness and accuracy.