Benchmark Almanac

Challenging translation human evaluation (Z.ai)

GLM-4.5 1.71 Only in system cards

People blindly score translations of 100 real cases with slang, nicknames and memes on a 0 to 3 scale.

In-house Z.ai evaluation. The cases are not public.

Made by Zhipu AI (Z.ai) Released Aug 2025 Translation Tasks kept private Last in a system card Aug 2025 Last model added Aug 2025
Level
Everyday Most adults, without training
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-4.5 leads with 1.71

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 GLM-4.5 1.71
#ModelScoreSettingDateSource
1 GLM-4.5 1.71 Aug 2025 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
1.71 1.71

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.

DateDocumentScoreAs the document writes itSection
8 Aug 2025 GLM-4.5 technical report 1.71 Human Scores on Selected Challenging Translation data, Average Score, 0 to 3 (Table 12) Capabilities

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