The GAIA benchmark is a robust methodology for evaluating AI agent performance across complex tasks. It assesses agents using multiple dimensions such as task execution, adaptability, collaboration, generalization, and real-world reasoning. The benchmark consists of 466 curated questions spanning different complexity levels, with answer validation based on factual correctness. It focuses on tasks that humans find simple but require AI systems to exhibit structured reasoning, planning, and accurate execution. GAIA provides a standardized evaluation methodology for researchers and businesses to determine agent suitability, risk assessment, and human-AI integration. The benchmark bridges gaps in existing benchmarks by incorporating tasks that require web browsing, numerical reasoning, document analysis, and strategic decision-making, making it more relevant than ever for evaluating true artificial general intelligence (AGI).