Benchmark Almanac

Okapi MMLU

Qwen2.5-72B 80% leads since Sep 2024 Dropped

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.

Made by University of Oregon NLP Group (Okapi) Released Jul 2023 Knowledge in many languages All tasks public Last in a launch post Sep 2024 , dropped before it saturated Last model added Jul 2025
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
8
Models scored in lab cards
1
Launch post lists it, from 1 lab
8
System cards report it, from 3 labs

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:

  1. 1 Qwen2.5-72B 80%
  2. 2 Claude 3 Opus 79.1%
  3. 3 Falcon-H1-34B 77.8%
  4. 4 Qwen2.5-32B 77.2%
  5. 5 Qwen2.5-14B 72.1%
  6. 6 Claude 3 Sonnet 69%
  7. 7 Qwen2.5-7B 67%
  8. 8 Claude 3 Haiku 65.2%
#ModelScoreSettingDateSource
1 Qwen2.5-72B 80% Sep 2024 Model card
2 Claude 3 Opus 79.1% Mar 2024 Model card
3 Falcon-H1-34B 77.8% Jul 2025 Model card
4 Qwen2.5-32B 77.2% Dec 2024 Model card
5 Qwen2.5-14B 72.1% Dec 2024 Model card
6 Claude 3 Sonnet 69% Mar 2024 Model card
7 Qwen2.5-7B 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.

Anthropic Qwen
Lab claims Not tested since Jul 2025

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2024 2025 Near the ceiling (85%) Qwen2.5-72B Claude 3 Opus 0% 20% 40% 60% 80% 100% 2024 2025 Near the ceiling (85%) Qwen2.5-72B

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.

Qwen
DateLaunch postScoreAs the post writes it
19 Sep 2024 Qwen2.5-72B 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.

DateDocumentScoreAs the document writes itSection
30 Jul 2025 Falcon-H1-34B technical report 77.8 Multi-MMLU (Dac Lai et al.), 12 languages, logprobs 5-shot (Tables 24 and 35) Capabilities
19 Dec 2024 Qwen2.5-7B technical report 67 okapi MMLU (translated), Qwen2.5-7B-Instruct (Table 14) Capabilities
19 Dec 2024 Qwen2.5-72B technical report 80 okapi MMLU (translated), Qwen2.5-72B-Instruct (Table 13) Capabilities
19 Dec 2024 Qwen2.5-32B technical report 77.2 okapi MMLU (translated), Qwen2.5-32B-Instruct (Table 13) Capabilities
19 Dec 2024 Qwen2.5-14B technical report 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

All 115 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%