Foundational Concepts

Benchmark

A standardised test used to compare and measure AI model performance.

Definition

Benchmarks are the industry's way of objectively comparing different AI models. A benchmark presents every model with the same set of tasks or questions — in law, maths, coding, reading comprehension, or reasoning — and scores them consistently. This allows buyers to compare models without relying solely on marketing claims. However, models can be specifically optimised to score well on popular benchmarks without those gains translating to real-world performance, so benchmarks should be interpreted with care.

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Disclaimer

This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.

Document reference: ISO_webpage_knowledge-base_glossary_v1

Last modified: 29 March 2026

Knowledge Base·Foundational Concepts·Benchmark