reasoning 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 7, 2026
Published models5
Registry coverage5
MetricScore
EvidenceB
Multilingual MMLU leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 80.7% | 100.0% | 5 | C | |
| 2 | MA | 74.2% | 75.0% | 5 | C | |
| 3 | MA | 70.6% | 50.0% | 5 | C | |
| 4 | MA | 65.2% | 25.0% | 5 | C | |
| 5 | MI | 49.3% | 0.0% | 5 | C |
Score distribution
Top published rows on the benchmark's original scale.
Multilingual MMLU highlights
The top published results on this benchmark's own scale.
What is Multilingual MMLU?
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- Multilingual MMLU
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- multilingual-mmlu|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.