# MMLU (Kaggle) leaderboard

external benchmark

> Every figure below is reproduced as its upstream source published it: nothing is modelled, estimated, interpolated or converted. `Unavailable` means no source published the value — it is never a zero. Each value carries its evidence state and the date it was observed.

Page: https://modelscale.dev/leaderboards/benchmarks/external-kaggle-mmlu

MMLU (Kaggle benchmark v1). Every model the catalog carries a published MMLU (Kaggle) value for, ranked by that value.

## Benchmark record

| Field | Value |
| --- | --- |
| Category | external |
| Measure | Accuracy (%) |
| Tasks | Four-option multiple-choice questions across 57 subjects; task version 7 |
| Difficulty | — |
| Published by | [Measuring Massive Multitask Language Understanding](https://arxiv.org/abs/2009.03300) |

Kaggle's run of the original 57-subject MMLU, separate from provider-reported MMLU rows.

## MMLU (Kaggle) ranking

No model in the catalog has a published MMLU (Kaggle) score. The benchmark is defined by Measuring Massive Multitask Language Understanding, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.

Rows are ordered by the value the source published, highest first. The source does not state whether a higher value is the better result, so this document does not either: for a benchmark that measures a rate of failure, read the table from the bottom.