Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
MLCommons develops and promotes open, industry-standard AI benchmarks and data tooling (including MLPerf, MLCube, and Croissant) to quantify AI quality, performance, and efficiency. It advances AI risk and reliability through a global community and datasets, enabling safer AI and reproducible research with shared methodologies. As a member-driven ecosystem with over 125 members and affiliates, MLCommons democratizes AI by providing neutral benchmarks and open infrastructure to accelerate AI innovation.
Sources
mlcommons.org shapes more of what AI says about Mlcommons than any other source, at 50% of its citations.
aisecurityandsafety.org · cyfuture.cloud
The market map
AI Observability & Log Analytics Platforms →Where AI ranks Mlcommons