Benchmark Almanac

MMLU-stem

Dropped

Models answer the STEM subjects of MMLU, such as physics, chemistry, mathematics, and computer science, as multiple choice. Scoring is accuracy.

A subject subset of MMLU rather than a separate benchmark, so subject lists can differ between reports.

Made by
UC Berkeley
Released
September 2020
Kind
Exam questions
Level
University
Scored
Checked automatically
Answers
Multiple choice
Tasks
All public
Strongest model tested
Qwen2.5-72B #165 on the capability index
Last in a launch post
September 2024, dropped before it saturated
Last model added
July 2025

In the authors’ words

We propose a new test to measure a text model's multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. We find that while most recent models have near random-chance accuracy, the very largest GPT-3 model improves over random chance by almost 20 percentage points on average. However, on every one of the 57 tasks, the best models still need substantial improvements before they can reach expert-level accuracy. Models also have lopsided performance and frequently do not know when they are wrong. Worse, they still have near-random accuracy on some socially important subjects such as morality and law. By comprehensively evaluating the breadth and depth of a model's academic and professional understanding, our test can be used to analyze models across many tasks and to identify important shortcomings.

Abstract of Measuring Massive Multitask Language Understanding (arXiv:2009.03300, CC0)
2
Models scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

Falcon-H1-34B leads with 83.6%

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.

  1. 1 Falcon-H1-34B 83.6%
  2. 2 Qwen2.5-72B 82.7%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Falcon-H1-34B 83.6% Jul 2025 Lab model card
2 Qwen2.5-72B 82.7% Sep 2024 Lab model card

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% 2025 Near the ceiling (85%) Falcon-H1-34B Qwen2.5-72B 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Falcon-H1-34B Qwen2.5-72B

Source: Labs’ model cards

No launch post has listed it since September 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
Sep 19, 2024 Qwen2.5-72B 82.7 MMLU-stem

One system card reports it

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
Jul 30, 2025 Falcon-H1-34B technical report 83.6 MMLU-stem, logprobs 5-shot (Table 24) Capabilities

More in Knowledge

All 121 in Knowledge
  • MMLU-Pro In use Harder 10-option version of MMLU with reasoning-focused questions across 14 subjects. Intern-S2-397B 89.8%
  • SuperGPQA In use 26,529 graduate-level multiple-choice questions across 285 disciplines. Accuracy. Qwen 3.6 Max (Preview) 73.9%
  • WideSearch In use 200 bilingual broad info-seeking tasks: agent collects many atomic facts into a table. Scored by success rate and row/item F1. Tencent Hy4 preview 83.9%
  • BBEH micro average In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is the share of all examples answered correctly. Gemma 4 31B IT 74.4%
  • KMMLU-Pro In use Models answer multiple-choice questions taken from Korean National Professional Licensure exams. It tests professional knowledge used in Korean industry. Solar Pro 4 79.2%
  • HLE-Verified In use Verified and revised version of Humanity's Last Exam (1,811 items) with uncertain items removed. Seed2.0 Pro 73.6%