ToolCall-Badcase
GLM-5 95.8% Only in system cards
Models choose a tool and its arguments for 200 cases drawn from real user failure reports. Each case has a ground-truth call.
In-house Z.ai evaluation. The cases are not public.
Made by Zhipu AI (Z.ai) Released Feb 2026 Function calling Tasks kept private Last in a system card Feb 2026
Last model added Feb 2026
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
1
Model scored in lab cards
1
System card reports it, from 1 lab
GLM-5 leads with 95.8%
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 95.8%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-5 | 95.8% | Feb 2026 | Model card |
The best score passed 85% in Feb 2026
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 | 95.8 | Toolcall-Badcase, Tool Call panel (Figure 11) | Capabilities |
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