Multilingual Understanding
Qwen2.5-72B 89.6% leads since Sep 2024 Dropped Models answer five multilingual comprehension sets, BELEBELE, XCOPA, XWinograd, XStoryCloze, and PAWS-X. Qwen reports the average accuracy.
This is a Qwen composite score, not a standalone benchmark.
- Level
- Everyday Most adults, without training
- 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 89.6% 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 89.6%
- 2 Qwen2-72B 80.7%
- 3 Qwen1.5-72B 78.2%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Qwen2.5-72B | 89.6% | Sep 2024 | Model card | |
| 2 | Qwen2-72B | 80.7% | Jun 2024 | Model card | |
| 3 | Qwen1.5-72B | 78.2% | Feb 2024 | Model card |
3 models have held number one since its release in Feb 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Sep 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs dropped it from launch posts once the best score passed 85%
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 | 89.6 | Multi-Understanding |
| 7 Jun 2024 | Qwen2-72B | 80.7 | Multi-Understanding |
| 5 Feb 2024 | Qwen1.5-72B | 78.2 | Multilingual Understanding (BELEBELE, XWinograd, XCOPA, PAWS-X, XStoryCloze) |
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%