AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 5
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| o3-mini | 0.807 | Not recorded | Not recorded | 2025-01-30 · model_announcement | LLM Stats |
| Ministral 3 (14B Base 2512) | 0.742 | Not recorded | Not recorded | 2025-12-04 · model_announcement | LLM Stats |
| Ministral 3 (8B Base 2512) | 0.706 | Not recorded | Not recorded | 2025-12-04 · model_announcement | LLM Stats |
| Ministral 3 (3B Base 2512) | 0.652 | Not recorded | Not recorded | 2025-12-04 · model_announcement | LLM Stats |
| Phi 4 Mini | 0.493 | Not recorded | Not recorded | 2025-02-01 · model_announcement | LLM Stats |