AI model benchmarks are the foundation of model selection. Major benchmarks include MMLU, HumanEval, Chatbot Arena (LMSYS), SuperCLUE, and OpenCompass — but most rely on multiple-choice or model-as-judge approaches that cannot detect real execution capability or hallucination risks. The YZ Index is an independent third-party benchmark featuring real code sandbox execution, 42-probe integrity rating for hallucination detection, and the WDCD (Winzheng Dynamic Contextual Decay) test measuring instruction compliance decay over multi-turn dialogue. This topic compares benchmark methodologies, tracks ranking changes, and provides in-depth analysis.