Our database of benchmark results, featuring the performance of leading AI models on challenging tasks. It includes results from benchmarks evaluated internally by Epoch AI as well as data collected from external sources. Explore trends in AI capabilities across time, by benchmark, or by model.

A benchmark of 68 significant Erdős problems, open as of August 2026, curated by Thomas Bloom and formalized in Lean. AI systems must prove or disprove them within a fixed budget.

A good benchmark asks more than just “can AI do this specific task?”

Notable organizations disclosed ~2,500 high- and critical-severity CVEs in July 2026, about 5× the pre-Mythos monthly record. Epoch AI's updated breakdown of vulnerability disclosures following Anthropic's Project Glasswing.

Expert assessments and cyber benchmarks led us to expect that frontier models were capable of executing this kind of cyberattack

We tested Pangram, GPTZero, and Originality.ai on human and AI text. All three caught nearly every passage written from a simple prompt, but missed roughly one in five passages imitating a specific author's style.

Notable organizations disclosed ~1,300 high- and critical-severity CVEs in June 2026, roughly 3.5× the pre-Mythos monthly record. Epoch AI's breakdown of vulnerability disclosures following Anthropic's Project Glasswing.

GPT-4 topped Epoch's Capabilities Index (ECI) for roughly a year after its March 2023 release — no model since has led for as long. The second-longest reign, by o1, lasted barely three months.

Frontier models show no improvement across 30 playthroughs of the board game Earthborne Rangers, scoring far below expert humans. Epoch AI's EBR-bench probes whether AI can learn on the fly.