language benchmark
Multilingual MMLU
MMLU-ProX is a comprehensive multilingual benchmark covering 29 typologically diverse languages, building upon MMLU-Pro. Each language version consists of 11,829 identical questions enabling direct cross-linguistic comparisons. The benchmark evaluates large language models' reasoning capabilities across linguistic and cultural boundaries through challenging, reasoning-focused questions with 10 answer choices.
Updated Aug 11, 2026
Models5
Model coverage5
MetricScore
EvidenceB
Multilingual MMLU Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 80.7% | 100.0% | 5 | C | |
| 02 | MA | 74.2% | 75.0% | 5 | C | |
| 03 | MA | 70.6% | 50.0% | 5 | C | |
| 04 | MA | 65.2% | 25.0% | 5 | C | |
| 05 | MI | 49.3% | 0.0% | 5 | C |
Multilingual MMLU Score Distribution
A closer view of the leading scores on this benchmark.
Multilingual MMLU Highlights
The leading models and scores on this benchmark.
What is Multilingual MMLU?
What Multilingual MMLU measures and how its scores work.
MMLU-ProX is a comprehensive multilingual benchmark covering 29 typologically diverse languages, building upon MMLU-Pro. Each language version consists of 11,829 identical questions enabling direct cross-linguistic comparisons. The benchmark evaluates large language models' reasoning capabilities across linguistic and cultural boundaries through challenging, reasoning-focused questions with 10 answer choices.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Multilingual MMLU
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- multilingual-mmlu|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Multilingual MMLU.
Which model scores highest on Multilingual MMLU?
o3-mini is currently ranked first with 80.7%.
What does Multilingual MMLU measure?
MMLU-ProX is a comprehensive multilingual benchmark covering 29 typologically diverse languages, building upon MMLU-Pro. Each language version consists of 11,829 identical questions enabling direct cross-linguistic comparisons. The benchmark evaluates large language models' reasoning capabilities across linguistic and cultural boundaries through challenging, reasoning-focused questions with 10 answer choices.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
5 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.