language benchmark
MMLU-ProX
Extended version of MMLU-Pro providing additional challenging multiple-choice questions for evaluating language models across diverse academic and professional domains. Built on the foundation of the Massive Multitask Language Understanding benchmark framework.
Updated Aug 11, 2026
Models32
Model coverage32
MetricScore
EvidenceB
MMLU-ProX Ranking
Higher score ranks better on this benchmark.
MMLU-ProX Score Distribution
A closer view of the leading scores on this benchmark.
MMLU-ProX Highlights
The leading models and scores on this benchmark.
What is MMLU-ProX?
What MMLU-ProX measures and how its scores work.
Extended version of MMLU-Pro providing additional challenging multiple-choice questions for evaluating language models across diverse academic and professional domains. Built on the foundation of the Massive Multitask Language Understanding benchmark framework.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMLU-ProX
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mmlu-prox|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMLU-ProX.
Which model scores highest on MMLU-ProX?
Qwen3.7 Max is currently ranked first with 87.0%.
What does MMLU-ProX measure?
Extended version of MMLU-Pro providing additional challenging multiple-choice questions for evaluating language models across diverse academic and professional domains. Built on the foundation of the Massive Multitask Language Understanding benchmark framework.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
32 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.