Benchmark Almanac

SwitzerlandQA

Apertus 70B 67.2% Only in system cards

Models answer four-option questions on Swiss geography, history, social life, politics and insurance at national, cantonal and commune level. Items come in five languages.

Swiss AI built it for the Apertus report, with 9,167 items per language across 26 cantons. The listed Hugging Face dataset was not reachable on 2026-11-01.

Made by Swiss AI Initiative (EPFL, ETH Zurich, CSCS) Released Sep 2025 Knowledge in many languages Last in a system card Sep 2025 Last model added Sep 2025
Level
Everyday Most adults, without training
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

Apertus 70B leads with 67.2%

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 Apertus 70B 67.2%
#ModelScoreSettingDateSource
1 Apertus 70B 67.2% Sep 2025 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%) Apertus 70B 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Apertus 70B

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
17 Sep 2025 Apertus 70B technical report 67.2 Switzerland QA, 0-shot (Table 20) Capabilities

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