Benchmark Almanac

MMLU Clinical Knowledge

GPT-4o May 2024 92% Only in system cards

Models answer MMLU multiple-choice questions from the Clinical Knowledge subject. Scoring is accuracy.

Single-subject subset of MMLU.

Made by UC Berkeley Released Sep 2020 Medicine All tasks public Last in a system card Aug 2024 Last model added Aug 2024
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Multiple choice
1
Model scored in lab cards
1
System card reports it, from 1 lab

GPT-4o leads with 92%

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 GPT-4o May 2024 92%
#ModelScoreSettingDateSource
1 GPT-4o May 2024 92% Aug 2024 Model card

The best score passed 85% in Aug 2024

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
0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-4o 0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-4o

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.

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
8 Aug 2024 GPT-4o system card 92 MMLU Clinical Knowledge (0-shot) (Table 7, 5-shot 0.92) Health

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