Multilingual MMLU (Meta)
Llama 3.1-405B 83.2% leads since November 2024 Models answer MMLU questions machine-translated into German, French, Italian, Portuguese, Hindi, Spanish and Thai, 5-shot.
In-house Meta translation made with Google Translate. It differs from OpenAI's MMMLU.
- Made by
- Meta
- Released
- July 2024
- Kind
- Knowledge in many languages
- Level
- University
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- Kept private
- Strongest model tested
- Llama 3.1-405B #162 on the capability index
- Last in a system card
- November 2024
- Last model added
- November 2024
Llama 3.1-405B leads with 83.2% among models released by July 2024
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in July 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon - GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 Llama 3.1-405B 83.2%
- 2 Llama 3.1-70B 78.2%
- 3 Llama 3.1-8B 58.6%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Llama 3.1-405B | 83.2% | Nov 2024 | Lab model card | |
| 2 | Llama 3.1-70B | 78.2% | Nov 2024 | Lab model card | |
| 3 | Llama 3.1-8B | 58.6% | Nov 2024 | Lab model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
6 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Nov 23, 2024 | Llama 3.1-8B technical report | 58.6 | Multilingual MMLU (internal, 7 languages, 5-shot), post-trained (Table 20) | Capabilities |
| Nov 23, 2024 | Llama 3.1-70B technical report | 78.2 | Multilingual MMLU (internal, 7 languages, 5-shot), post-trained (Table 20) | Capabilities |
| Nov 23, 2024 | Llama 3.1-405B technical report | 83.2 | Multilingual MMLU (internal, 7 languages, 5-shot), post-trained (Table 20) | Capabilities |
| Jul 23, 2024 | Llama 3.1-8B model card | MMLU (5-shot, macro_avg/acc) per language with no overall, instruction tuned (Multilingual benchmarks table): Portuguese 62.12, Spanish 62.45, Italian 61.63, German 60.59, French 62.34, Hindi 50.88, Thai 50.32 | Capabilities | |
| Jul 23, 2024 | Llama 3.1-70B model card | MMLU (5-shot, macro_avg/acc) per language with no overall, instruction tuned (Multilingual benchmarks table): Portuguese 80.13, Spanish 80.05, Italian 80.4, German 79.27, French 79.82, Hindi 74.52, Thai 72.95 | Capabilities | |
| Jul 23, 2024 | Llama 3.1-405B model card | MMLU (5-shot, macro_avg/acc) per language with no overall, instruction tuned (Multilingual benchmarks table): Portuguese 84.95, Spanish 85.08, Italian 85.04, German 84.36, French 84.66, Hindi 80.31, Thai 78.21 | Capabilities |
More in Multilingual
- MMMLU In use MMLU professionally translated into 14 languages. Multiple-choice accuracy. Claude Mythos Preview 92.7%
- WMT24++ In use English-to-55-language translation of WMT24 test data. Scored with automatic metrics such as MetricX or xCOMET.
K-EXAONE 90.5% - MMLU-ProX In use MMLU-Pro translated into up to 29 languages with expert review. Multiple-choice accuracy per language.
Qwen3.7-Max 87% - CLIcK In use Models answer 1,995 multiple-choice questions on Korean language and culture. Questions come from official Korean exams and textbooks in eleven categories.
Solar Open 2 90.7% - Global MMLU Lite 3.0 In use Models answer 400 human-translated MMLU questions per language in 23 languages. Version 3.0 adds Czech, Hungarian, Oriya, Slovak and Tajik and updates Italian. Accuracy.
Nemotron 3 Ultra 550B-A55B Base 90.1% - MMMB In use Models answer multiple-choice questions about images in six languages across 15 categories. The set has about 12,000 questions. LFM2.5-VL-3B 83%