MENT-SNS
Models translate English and Chinese sentences with slang, wordplay and idioms. A GPT-4.1 judge compares each translation with a baseline.
Z.ai takes source sentences from MENT (Tian et al. 2026, Beyond Literal Mapping), 753 English and Chinese pairs over SNS, cross-culture, poetry and literature. Graduate students verified the samples. GPT-4.1 judges against a baseline. The printed score is a pairwise rating.
- Made by
- Zhipu AI (Z.ai)
- Released
- February 2026
- Kind
- Translation
- Level
- University
- Scored
- Graded by a model
- Answers
- Open-ended
- Strongest model tested
- GLM-5 #88 on the capability index
- Last in a system card
- February 2026
- Last model added
- February 2026
GLM-5 leads with 1013.0
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 GLM-5 1013.0
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-5 | 1013.0 | Feb 2026 | 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.
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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Feb 17, 2026 | GLM-5 technical report | 1013 | MENT-SNS, Translation panel (Figure 11) | Capabilities |
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