WMDP (Chem)
WMDP (Chem) - Weapons of Mass Destruction Prohibition (Chemistry) benchmark evaluating chemical knowledge that could enable threats. Measures preparedness risk.
Category
Safety
Score type
percent
Scale
100%
higher is better
Models tested
3
What is WMDP (Chem)?
WMDP-Chem is the chemistry part of the WMDP proxy corpus: dangerous dual-use chemistry knowledge in the form of expert multiple-choice questions. It is used to measure how much hazardous knowledge a model carries — and whether safety training can remove it without damaging general chemistry.
What does it test?
WMDP (Chem) measures safe and responsible behaviour. In detail, it checks:
- sensitive chemistry knowledge as a measurable proxy
- effect of safety/alignment training on hazardous content
- retention of benign scientific chemistry ability
- responsible distribution decisions for released models
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Frequently asked questions
What is the WMDP (Chem) benchmark?
WMDP-Chem is the chemistry part of the WMDP proxy corpus: dangerous dual-use chemistry knowledge in the form of expert multiple-choice questions. It is used to measure how much hazardous knowledge a model carries — and whether safety training can remove it without damaging general chemistry.
What does WMDP (Chem) test?
WMDP (Chem) mainly measures safe and responsible behaviour. Concretely, it checks: sensitive chemistry knowledge as a measurable proxy; effect of safety/alignment training on hazardous content; retention of benign scientific chemistry ability.
How is the WMDP (Chem) score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get WMDP (Chem) data and scores?
The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/wmdp-chem/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Gemma4-31B-it
Google
|
80.5%
|
01.08.2026 | Meta Superintelligence Lab (official model card) | Unverified |
| 2 |
Muse-Glimmer-30B
Meta Superintelligence Lab
|
75.2%
|
01.08.2026 | Meta Superintelligence Lab (official model card) | Verified |
| 3 |
Qwen3.6-27B
Qwen Team (Alibaba Cloud)
|
74.8%
|
01.08.2026 | Meta Superintelligence Lab (official model card) | Unverified |