Benchmark Almanac

WMT23

Gemini 1.5 Pro May 2024 75.3 leads since May 2024 Dropped

Models translate the WMT23 general task test sets between English and languages such as German, Chinese, and Japanese. Model cards score output with BLEURT.

The shared task ranked systems by human judgment, while model cards report automatic BLEURT scores.

Made by WMT (Conference on Machine Translation) Released Jul 2023 Translation All tasks public Last in a launch post May 2024 , dropped before it saturated Last model added May 2024
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.
3
Models scored in lab cards
3
Launch posts list it, from 1 lab

Gemini 1.5 Pro leads with 75.3 among models released by May 2024

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.

The newest model with a score here came out in May 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Gemini 1.5 Pro May 2024 75.3
  2. 2 Gemini 1.5 Pro Feb 2024 75.2
  3. 3 Gemini 1.0 Ultra 74.4
#ModelScoreSettingDateSource
1 Gemini 1.5 Pro May 2024 75.3 May 2024 Model card
2 Gemini 1.5 Pro Feb 2024 75.2 Feb 2024 Model card
3 Gemini 1.0 Ultra 74.4 Dec 2023 Model card

3 models have held number one since its release in Jul 2023

Lab claims count from the day the card came out, independent runs from the model’s release.

Google DeepMind
Lab claims Replaced by 24, Jun 2024

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
74.4 74.6 74.8 75.0 75.2 75.4 2024 74.4 74.6 74.8 75.0 75.2 75.4 2024

No launch post has listed it since May 2024

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Google DeepMind
DateLaunch postScoreAs the post writes it
14 May 2024 Gemini 1.5 Pro 75.3 WMT23, 1-shot (BLEURT)
15 Feb 2024 Gemini 1.5 Pro 75.2 WMT23, 1-shot (BLEURT)
6 Dec 2023 Gemini 1.0 Ultra 74.4 WMT23, 1-shot (IT) (BLEURT)

Versions

More in Multilingual

All 115 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. Inkling 88.7%
  • 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%