Skip to content
trending
AI Glossary / Benchmark

Benchmark

A standard test used to compare models (e.g., in math or coding).

A benchmark is a standardized test for comparing models: a set of tasks in math, general knowledge, programming, or language understanding, where each model receives a score. Thanks to benchmarks, we can say that model X handles code better than Y. Results should be taken with a grain of salt: popular tests eventually "leak" into training data, and producers optimize models for the metrics. That's why alongside classic benchmarks, rankings based on blind human evaluations and private tests are growing - and the best benchmark remains your own task.

Related concepts
LLMOverfitting

← All terms in the AI Glossary

// site map
Quantslant in numbers 1,427posts in archive26news from the last 7 days18video models in the observatory
🎬 AI Video Benchmarks: Higgsfield DoP vs OpenAI Sora • Higgsfield vs Runway Gen-3 • AI Video Credit Calculator
× ‹ enlarge ›