Benchmark Almanac

NTREX-128

Cohere Command A 68.8 Only in system cards

Models translate 1,997 English news sentences into 128 languages, with human reference translations. Scored with metrics such as COMET or chrF.

Cohere's Command A report scores it with COMET-20. The English source is the WMT19 newstest2019 set, with document boundaries kept.

Made by Microsoft Translator (Federmann, Kocmi and Xin) Released Oct 2022 Translation All tasks public Last in a system card Apr 2025 Last model added Apr 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
Open-ended Free-form text, documents, designs or media judged as a whole.
1
Model scored in lab cards
1
System card reports it, from 1 lab

Cohere Command A leads with 68.8

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 Cohere Command A 68.8
#ModelScoreSettingDateSource
1 Cohere Command A 68.8 Apr 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
68.8 2025 68.8 2025

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
1 Apr 2025 Cohere Command A technical report 68.8 NTREX COMET-20 average over 22 languages (Table 7) Capabilities

More in Multilingual

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  • 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%
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  • 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%