Novel logical reasoning problems expert evaluation (Z.ai)
Human experts score model answers to new multi-step logic problems with a fixed scoring standard for each question.
In-house Z.ai evaluation built to avoid contamination. The problems are not public.
- Made by
- Zhipu AI (Z.ai)
- Released
- August 2025
- Kind
- Abstract puzzles and logic
- Level
- University
- Scored
- Graded by people
- Answers
- Open-ended
- Tasks
- Kept private
- Last in a system card
- August 2025
- Last model added
- August 2025
GLM-4.5 leads with 62.0
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-4.5 62.0
- 2 GLM-4.5-Air 53.4
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-4.5 | 62.0 | Aug 2025 | Lab model card | |
| 2 | GLM-4.5-Air | 53.4 | Aug 2025 | 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.
2 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| Aug 8, 2025 | GLM-4.5 technical report | 62 | Expert Evaluation Scores on Novel Logical Reasoning Problems (Table 11) | Capabilities |
| Aug 8, 2025 | GLM-4.5-Air technical report | 53.4 | Expert Evaluation Scores on Novel Logical Reasoning Problems (Table 11) | Capabilities |
More in Science and reasoning
- GPQA Diamond In use 198 graduate-level 'Google-proof' multiple-choice questions in biology, chemistry and physics.
Gemini 4 Carbon 96.5%
- Terminal-Bench-Science In use 70 scientific research-workflow tasks across five science areas, run in Harbor containers. Hidden tests give the resolution rate. GPT-6 Astra 68.1%
- FrontierScience In use Models solve physics, chemistry, and biology problems in an Olympiad track graded by short answer and a Research track graded by 10-point rubrics.
Intern-S2-397B 87%
- BioMysteryBench In use Bioinformatics problems on anonymized real datasets that require real analysis with tools. Rubric-graded, with human-solvable and human-difficult splits. Claude Fable 5.2 83.7%
- HiPhO In use Models solve theory problems from 2024 and 2025 physics olympiad exams, some with diagrams. Official marking schemes grade answers and steps, mapped to medal levels.
Gemini 3 Pro 78.3%
- LABBench2 In use 11 biology research sub-tasks (literature, figures, tables, patents, trials and more) with tool access. Macro-averaged accuracy. GPT-5.2 60.9%