UnifyBench

RankingMMLU-Pro

MMLU-Pro

Data updated 22 Oct 2026

Bucket
Knowledge
Unit
percent
Direction
Higher is better
Version
—
Display harness
MMLU-Pro reported
Board
https://github.com/TIGER-AI-Lab/MMLU-Pro

Compare published benchmark results with category weights →

Models

Results are ordered by score in the display harness, followed by models with no result. Other harnesses are listed separately below. Missing results remain unknown.

151–175 of 471 entries

ModelScoreEvidenceSource-recorded date
ERNIE-5.1Baidu———
EXAONE 3.0 7.8B InstructLG AI Research———
EXAONE 4.0 1.2BLG AI Research———
EXAONE 4.0 32BLG AI Research———
EXAONE 4.0.1 32BLG AI Research———
EXAONE 4.5 33BLG AI Research———
EXAONE Deep 2.4BLG AI Research———
EXAONE Deep 32BLG AI Research———
EXAONE Deep 7.8BLG AI Research———
Gemini 2.5 FlashGoogle———
Gemini 2.5 Flash-LiteGoogle———
Gemini 3 Flash PreviewGoogle———
Gemini 3.1 Flash-LiteGoogle———
Gemini 3.5 FlashGoogle———
Gemini 3.5 Flash-LiteGoogle———
Gemini 3.6 FlashGoogle———
Gemini 3.7 FlashGoogle———
Gemini 3.8 FlashGoogle———
Gemini 4 ArgonGoogle———
Gemma 1 2B ITGoogle———
Gemma 1 7B ITGoogle———
Gemma 1.1 2B ITGoogle———
Gemma 1.1 7B ITGoogle———
Gemma 3 270M ITGoogle———
Gemma 3n E2B ITGoogle———