WMT23
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.
- 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.
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:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1
Gemini 1.5 Pro May 2024 75.3
- 2
Gemini 1.5 Pro Feb 2024 75.2
- 3
Gemini 1.0 Ultra 74.4
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 75.3 | May 2024 | Model card | |
| 2 | | 75.2 | Feb 2024 | Model card | |
| 3 | | 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.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 14 May 2024 | 75.3 | WMT23, 1-shot (BLEURT) | |
| 15 Feb 2024 | 75.2 | WMT23, 1-shot (BLEURT) | |
| 6 Dec 2023 | 74.4 | WMT23, 1-shot (IT) (BLEURT) |
Versions
More 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%