BIG-bench

BIG-bench (Beyond the Imitation Game Benchmark) is a large-scale collaborative benchmarking platform designed to evaluate and extrapolate the capabilities of large language models. Developed as an open-source project under the Google organization, it provides a comprehensive suite of over 200 diverse tasks—covering JSON and programmatic formats—to probe model performance across reasoning, knowledge, language understanding, and other domains. The benchmark includes a smaller subset called BIG-bench Lite (BBL) for more efficient evaluation and a leaderboard for comparing model results. Originally intended to drive progress in AI by enabling rigorous, community-driven testing, the repository has been archived and is now read-only, meaning it is no longer actively maintained or accepting new contributions as of 2026. Despite its archival status, the existing task set and evaluation framework remain available for researchers and developers to use and reference. The benchmark primarily targets language models, making it best suited for evaluating text-based AI systems rather than multimodal or other types of models.