Okapi MMLU
Models answer MMLU multiple choice questions that ChatGPT translated into 26 languages. Scoring is accuracy.
The questions are machine translated, so translation errors and English cultural bias remain.
- 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 80% among models released by May 2025
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 May 2025, 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 80%
- 2 Claude 3 Opus 79.1%
- 3
Falcon-H1-34B 77.8%
- 4
Qwen2.5-32B 77.2%
- 5
Qwen2.5-14B 72.1%
- 6 Claude 3 Sonnet 69%
- 7
Qwen2.5-7B 67%
- 8 Claude 3 Haiku 65.2%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 80% | Sep 2024 | Model card | |
| 2 | Claude 3 Opus | 79.1% | Mar 2024 | Model card | |
| 3 | | 77.8% | Jul 2025 | Model card | |
| 4 | | 77.2% | Dec 2024 | Model card | |
| 5 | | 72.1% | Dec 2024 | Model card | |
| 6 | Claude 3 Sonnet | 69% | Mar 2024 | Model card | |
| 7 | | 67% | Dec 2024 | Model card | |
| 8 | Claude 3 Haiku | 65.2% | Mar 2024 | Model card |
2 models have held number one since its release in Jul 2023
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 | 80 | okapi MMLU (translated) |
8 system cards report it, from 3 labs
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 |
|---|---|---|---|---|
| 30 Jul 2025 | | 77.8 | Multi-MMLU (Dac Lai et al.), 12 languages, logprobs 5-shot (Tables 24 and 35) | Capabilities |
| 19 Dec 2024 | | 67 | okapi MMLU (translated), Qwen2.5-7B-Instruct (Table 14) | Capabilities |
| 19 Dec 2024 | | 80 | okapi MMLU (translated), Qwen2.5-72B-Instruct (Table 13) | Capabilities |
| 19 Dec 2024 | | 77.2 | okapi MMLU (translated), Qwen2.5-32B-Instruct (Table 13) | Capabilities |
| 19 Dec 2024 | | 72.1 | okapi MMLU (translated), Qwen2.5-14B-Instruct (Table 14) | Capabilities |
| 4 Mar 2024 | Claude 3 Sonnet model card | 69 | Multilingual MMLU (Okapi translation), 5-shot. Per-language chart without printed values (Table 5, Figure 10) | Capabilities |
| 4 Mar 2024 | Claude 3 Opus model card | 79.1 | Multilingual MMLU (Okapi translation), 5-shot. Per-language chart without printed values (Table 5, Figure 10) | Capabilities |
| 4 Mar 2024 | Claude 3 Haiku model card | 65.2 | Multilingual MMLU (Okapi translation), 5-shot. Per-language chart without printed values (Table 5, Figure 10) | 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%