Benchmarking CLAWD 4 Models

This chapter provides an in-depth analysis of the performance of CLAWD 4 models, particularly Opus 4 and Sonnet 4, against various AI models across different benchmarks. It highlights their advantages in long-context coding tasks, as well as their struggles in visual comprehension tests, underscoring the mixed performance landscape of modern AI. Additionally, it discusses the implications of mathematical errors made by AI models, raising questions about their reliability in critical applications.