AMMLU
Qwen2.5-72B 72.4% leads since Sep 2024 Dropped Models answer MMLU multiple-choice questions across 57 subjects, translated into Arabic with GPT-4. Scored by accuracy.
The Qwen2.5 report does not cite a source, so this mapping to the AceGPT translation is inferred.
- Level
- University Undergraduates and entry-level professionals
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Multiple choice
Qwen2.5-72B leads with 72.4% among models released by Sep 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 Sep 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 Qwen2.5-72B 72.4%
- 2 Qwen2.5-32B 70.4%
- 3 Qwen2.5-14B 66.8%
- 4 Qwen2.5-7B 59.8%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Qwen2.5-72B | 72.4% | Sep 2024 | Model card | |
| 2 | Qwen2.5-32B | 70.4% | Dec 2024 | Model card | |
| 3 | Qwen2.5-14B | 66.8% | Dec 2024 | Model card | |
| 4 | Qwen2.5-7B | 59.8% | Dec 2024 | Model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No launch post has listed it since Sep 2024
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 19 Sep 2024 | Qwen2.5-72B | 72.4 | AMMLU (Arabic) |
4 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 |
|---|---|---|---|---|
| 19 Dec 2024 | Qwen2.5-7B technical report | 59.8 | AMMLU (Arabic), Qwen2.5-7B-Instruct (Table 14) | Capabilities |
| 19 Dec 2024 | Qwen2.5-72B technical report | 72.4 | AMMLU (Arabic), Qwen2.5-72B-Instruct (Table 13) | Capabilities |
| 19 Dec 2024 | Qwen2.5-32B technical report | 70.4 | AMMLU (Arabic), Qwen2.5-32B-Instruct (Table 13) | Capabilities |
| 19 Dec 2024 | Qwen2.5-14B technical report | 66.8 | AMMLU (Arabic), Qwen2.5-14B-Instruct (Table 14) | 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.
Inkling 88.7% - 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%