Benchmark Almanac

NTREX-128

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.

Released
October 2022
Kind
Translation
Level
University
Scored
Checked automatically
Answers
Open-ended
Tasks
All public
Last in a system card
April 2025
Last model added
April 2025
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

Source: Labs’ model cards

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

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

More in Multilingual

All 120 in Multilingual
  • MMMLU In use MMLU professionally translated into 14 languages. Multiple-choice accuracy. Claude Mythos Preview 92.7%
  • WMT24++ In use English-to-55-language translation of WMT24 test data. Scored with automatic metrics such as MetricX or xCOMET. K-EXAONE 90.5%
  • MMLU-ProX In use MMLU-Pro translated into up to 29 languages with expert review. Multiple-choice accuracy per language. Qwen3.7-Max 87%
  • 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%
  • Global MMLU Lite 3.0 In use Models answer 400 human-translated MMLU questions per language in 23 languages. Version 3.0 adds Czech, Hungarian, Oriya, Slovak and Tajik and updates Italian. Accuracy. Nemotron 3 Ultra 550B-A55B Base 90.1%
  • 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%