Benchmark Almanac

MedQA Mainland China

Only in system cards

Models answer mainland China medical licensing exam questions in simplified Chinese. Scoring is accuracy.

Simplified Chinese part of the MedQA dataset.

Made by
MIT
Released
September 2020
Kind
Medicine
Level
Expert
Scored
Checked automatically
Answers
Multiple choice
Tasks
All public
Strongest model tested
GPT-4o May 2024 #161 on the capability index
Last in a system card
August 2024
Last model added
August 2024
1
Model scored in lab cards
1
System card reports it, from 1 lab

GPT-4o leads with 84%

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 84%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 GPT-4o May 2024 84% Aug 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
0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-4o 0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-4o

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 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
Aug 8, 2024 GPT-4o system card 84 MedQA Mainland China (0-shot) (Table 7, 5-shot 0.86) Health

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