MT-Bench B
AI benchmark · Generalization
- Publisher
- Official Lmsys Huggingface Space Judgment Jsonl
- Domains
- Generalization
- Tier
- B why
- Snapshot
What is MT-Bench?
MT-Bench: Evaluates conversational quality, human preference, helpfulness, and pairwise response judgments.
Tier B
B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 34 models scored
- in curated RL directories (1 pt)
On X · mixed, low buzz, from 4 posts about MT-Bench in the last month
MT-Bench is mostly cited historically, for LLM-as-judge agreement with humans and for its documented position bias, and in router cost comparisons.
How we got to tier B
- Adoption: 34 models scored. Tier B.
- On X: mixed, low buzz. “MT-Bench is mostly cited historically, for LLM-as-judge agreement with humans and for its documented position bias, and in router cost comparisons.” No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.