safety benchmark
WMDP-Cyber is the cybersecurity subset of WMDP (Weapons of Mass Destruction Proxy).
Updated Sep 24, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score88.10% | 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-cyber 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 4.7 currently leads WMDP-Cyber with 88.10%. 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-Cyber measures and how its scores work.
WMDP-Cyber is a safety benchmark consisting of multiple-choice questions on dual-use cyber knowledge.
It measures Score on knowledge relevant to enabling malicious actors to engage in offensive cyber operations, reported as a ratio.
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-Cyber.
Grok 4.7 is currently ranked first with 88.10%.
The current leaders are Grok 4.7 (88.10%).
Grok 4.7 has the lowest matched official input price at $2.0 input / $6.0 output per 1M tokens.
The fastest matched records are Grok 4.7 (5.32 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 Score on knowledge relevant to enabling malicious actors to engage in offensive cyber operations, reported as a ratio.
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.