This benchmark compares two AI models, o1-mini and 4o, from OpenAI in detecting real bugs across five programming languages. The authors created a dataset of 210 programs with realistic but hard-to-catch bugs in multiple domains and languages. The results show that 4o outperforms o1-mini by nearly twice, catching more bugs in most languages, especially in Python and TypeScript where logic and context matter. However, the performance difference is less pronounced in Ruby, where o1-mini performs better. The study highlights the strengths of each model: 4o excels at logical deduction, while o1-mini relies on pattern recognition. The findings suggest that reasoning capabilities give 4o an edge in detecting subtle bugs, making it a more suitable choice for AI code review across languages and logic-heavy bugs.