epoch.ai · Leaderboards
Epoch AI's independent runs of key benchmarks with open data showing how frontier capabilities change over time.
Epoch AI Benchmarking Hub is one of 11 leaderboard tools on TrueIQ. See all leaderboard tools or how we check facts.
// guides
LiveBench vs Artificial Analysis: how the two AI leaderboards differ on tasks, grading, weighting and cost, why their rankings disagree, and when to trust each.
The FrontierCode benchmark explained: how Cognition grades whether maintainers would merge AI code, what Main and Diamond mean, and how to read the leaderboards.
MMLU vs GPQA explained: broad exam recall versus expert written science questions, why GPQA scores run lower, and which benchmark still means anything in 2026.
LLM benchmarks explained: what MMLU, GPQA Diamond, Humanity's Last Exam, SWE-bench and ARC-AGI measure, why scores saturate, and how to spot contamination.
Every major LLM leaderboard compared: how Arena, Artificial Analysis, LiveBench, SEAL, Epoch AI and Vellum score models, and where each one can mislead you.
// related
Artificial Analysisartificialanalysis.aiIndependent benchmarking of model intelligence, speed and price across providers, updated as new models launch.LeaderboardsFreeHN 92
LiveBenchlivebench.aiBenchmark refreshed with new questions regularly and scored against objective answers to limit test set contamination.LeaderboardsOpen source★ 1.3k
Berkeley Function Calling Leaderboardgorilla.cs.berkeley.eduLeaderboard measuring how accurately models call functions and tools across languages and multiturn settings.LeaderboardsFree★ 13.1k
Aider Leaderboardsaider.chatAider's code editing benchmarks that test how well models edit real source files across several programming languages.LeaderboardsFree★ 49.8k
MTEBhuggingface.coMassive Text Embedding Benchmark and leaderboard for comparing embedding models on retrieval, clustering and more.LeaderboardsOpen source★ 3.5k
Vectara Hallucination Leaderboardgithub.comPublic leaderboard that scores how often models introduce unsupported facts when summarizing documents, using Vectara's open HHEM evaluation model.LeaderboardsFree★ 3.3k