MT-Bench
MT-Bench is a benchmark of 80 two-turn questions across categories such as writing, reasoning, math, and coding, in which a strong LLM acts as the judge and scores each response.
Description
It was introduced with the systematic study of LLM-as-a-judge, which found that strong model judges agreed with human preferences about as well as people agreed with each other, and also documented judge biases. Its small size and reliance on a model judge limit how finely it can separate today's models.
Sources
- Zheng et al. (2023). Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.
Cite this entry
Protologue. (2026). MT-Bench. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.4.0, PTL-0209). https://protologue.com/t/mt-bench/
BibTeX
@misc{protologue_mt_bench,
title = {MT-Bench},
author = {{Protologue}},
year = {2026},
howpublished = {Protologue: A Taxonomy of Prompting and LLM Techniques, v1.4.0},
note = {Entry PTL-0209},
url = {https://protologue.com/t/mt-bench/}
}New terms, as they're coined
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