safety benchmark
WMDP is a multiple-choice benchmark on dual-use biology, chemistry, and cyber knowledge.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score84.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis wmdp AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Grok-4.1 Thinking currently leads WMDP with 84.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What WMDP measures and how its scores work.
WMDP is a safety benchmark covering dual-use biology, chemistry, and cyber knowledge.
It measures a model's capacity to enable malicious actors to design, synthesize, acquire, or use chemical, biological, radiological, or nuclear (CBRN) weapons.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about WMDP.
Grok-4.1 Thinking is currently ranked first with 84.00%.
The current leaders are Grok-4.1 Thinking (84.00%).
No matched official input price is currently available.
The fastest matched records are Grok-4.1 Thinking (80.00 tok/s via xAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures a model's capacity to enable malicious actors to design, synthesize, acquire, or use chemical, biological, radiological, or nuclear (CBRN) weapons.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.