# MMLU-Pro (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-pro

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

## Benchmark record

| Field | Value |
| --- | --- |
| Category | external |
| Measure | Accuracy (%) |
| Tasks | 10-option multiple-choice questions across 14 subjects; task version 12 |
| Difficulty | — |
| Published by | [MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://arxiv.org/abs/2406.01574) |

Kaggle's run of MMLU-Pro, the ten-option, reasoning-heavy successor to MMLU, kept apart from provider, Vals, Artificial Analysis, and Arcee rows.

## MMLU-Pro (Kaggle) ranking

No model in the catalog has a published MMLU-Pro (Kaggle) score. The benchmark is defined by MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark, 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.