reasoning benchmark
French version of MMLU-Pro, a multilingual benchmark for evaluating language models' cross-lingual reasoning capabilities across 14 diverse domains including mathematics, physics, chemistry, law, engineering, psychology, and health.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | MA | 57.5% | 100.0% | 1 | C |
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
French version of MMLU-Pro, a multilingual benchmark for evaluating language models' cross-lingual reasoning capabilities across 14 diverse domains including mathematics, physics, chemistry, law, engineering, psychology, and health.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about French MMLU.
Ministral 8B Instruct is currently ranked first with 57.5%.
French version of MMLU-Pro, a multilingual benchmark for evaluating language models' cross-lingual reasoning capabilities across 14 diverse domains including mathematics, physics, chemistry, law, engineering, psychology, and health.
Yes. Higher values rank better for this benchmark.
1 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.