Project AURIONAI Use-Cases Research & Innovation

MT-Bench

Multi-turn chat quality scored 1 to 10 by an LLM judge

knowledge and reasoning
3scores
3models
0independent
0maintainer-run
3vendor-reported

Definition

Version
not in the notes
Category
knowledge and reasoning
Maintainer
not in the notes
Status
not in the notes
Home page
not in the notes

Sources

  1. huggingface.co/nvidia/Nemotron-4-340B-Instruct https://huggingface.co/nvidia/Nemotron-4-340B-Instruct
  2. qwenlm.github.io/blog/qwen1.5-110b https://qwenlm.github.io/blog/qwen1.5-110b/
  3. mistral.ai/news/la-plateforme https://mistral.ai/news/la-plateforme/

Scores at a Glance

Score

Higher is better for this unit.

02.557.510
Where this comes from
Each bar is one model, with its most independent recorded score. Hatched bars are vendor-reported; the word beside each bar says who ran it. Settings and dates differ between rows; the Scores table below has every result.

Scores

3 of 3 scores shown mt-bench-scores.csv
ModelScoreWho ran itSettingView or populationDateSource
Alibaba (Qwen)Qwen1.5-110B-Chat8.88 scorevendor-reportedaverage score–25 Apr 2024qwenlm.github.io
Mistral AIMistral Medium (Dec '23)8.6 scorevendor-reported––11 Dec 2023mistral.ai
NVIDIANemotron-4 340B8.22 scorevendor-reportedInstruct model; judged by GPT-4-0125-Preview–Jun 2024huggingface.co
Where this comes from
Scores from different settings, harnesses or dates are not directly comparable; the row says which. Sorted by score, highest first, as a reading aid, not a ranking.

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MT-Bench", https://aurion.semai.id/benchmarks/mt-bench/, records of October 2026.