Translation Human Scoring (Z.ai)
GLM-5 3.12 Only in system cards
People score model translations. The GLM-5 report does not describe the test set or the scale.
In-house Z.ai evaluation shown only in a GLM-5 report chart.
Made by Zhipu AI (Z.ai) Released Feb 2026 Translation Tasks kept private Last in a system card Feb 2026
Last model added Feb 2026
- Level
- University Undergraduates and entry-level professionals
- Scored
- Graded by people Human experts grade or compare the outputs.
- 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
GLM-5 leads with 3.12
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 3.12
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-5 | 3.12 | Feb 2026 | 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
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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 17 Feb 2026 | GLM-5 technical report | 3.12 | Human Scoring, Translation panel (Figure 11) | Capabilities |
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