language benchmark
MMLU-Redux
An improved version of the MMLU benchmark featuring manually re-annotated questions to identify and correct errors in the original dataset. Provides more reliable evaluation metrics for language models by addressing dataset quality issues found in the original MMLU.
Updated Aug 11, 2026
Models48
Model coverage48
MetricScore
EvidenceB
MMLU-Redux Ranking
Higher score ranks better on this benchmark.
MMLU-Redux Score Distribution
A closer view of the leading scores on this benchmark.
MMLU-Redux Highlights
The leading models and scores on this benchmark.
What is MMLU-Redux?
What MMLU-Redux measures and how its scores work.
An improved version of the MMLU benchmark featuring manually re-annotated questions to identify and correct errors in the original dataset. Provides more reliable evaluation metrics for language models by addressing dataset quality issues found in the original MMLU.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMLU-Redux
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mmlu-redux|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMLU-Redux.
Which model scores highest on MMLU-Redux?
Qwen3.7 Max is currently ranked first with 95.0%.
What does MMLU-Redux measure?
An improved version of the MMLU benchmark featuring manually re-annotated questions to identify and correct errors in the original dataset. Provides more reliable evaluation metrics for language models by addressing dataset quality issues found in the original MMLU.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
48 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.