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.
Coding agent benchmark rankings from SWE-Bench Pro, FrontierCode, Terminal-Bench and the Artificial Analysis index, with sourced scores, dates and why they differ.
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.
The GDPval benchmark tests AI on real work from 44 occupations. How tasks and grading work, how to read the GDPval-AA leaderboard, and what it misses.
How to evaluate LLM model performance before you pick one: build a task test set, fix settings, add error bars, test prompt sensitivity, then weigh cost.