Safety Benchmark

VCT

VCT - Vulnerability CTF benchmark evaluating cyber security preparedness capabilities.

Category

Safety

Score type

percent

Scale

100%

higher is better

Models tested

3

What is VCT?

VCT is a benchmark for safe and responsible behaviour. The official description says: "VCT - Vulnerability CTF benchmark evaluating cyber security preparedness capabilities". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

VCT measures safe and responsible behaviour. In detail, it checks:

  • refusing harmful requests while still helping on benign ones
  • resisting attempts to bypass safety rules
  • avoiding dangerous, inaccurate or policy-violating output
  • flagging uncertainty instead of confidently producing unsafe answers

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.

Official methodology note: VCT - Vulnerability CTF benchmark evaluating cyber security preparedness capabilities.

Frequently asked questions

What is the VCT benchmark?

VCT is a benchmark for safe and responsible behaviour. The official description says: 'VCT - Vulnerability CTF benchmark evaluating cyber security preparedness capabilities'. Below we describe in simple words what benchmarks of this type generally examine.

What does VCT test?

VCT mainly measures safe and responsible behaviour. Concretely, it checks: refusing harmful requests while still helping on benign ones; resisting attempts to bypass safety rules; avoiding dangerous, inaccurate or policy-violating output.

How is the VCT 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 VCT 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/vct/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 3 models tested

Reset
# Model Score Date Source Verified
1 Gemma4-31B-it
Google
43.5%
01.08.2026 Meta Superintelligence Lab (official model card) Unverified
2 Muse-Glimmer-30B
Meta Superintelligence Lab
37%
01.08.2026 Meta Superintelligence Lab (official model card) Verified
3 Qwen3.6-27B
Qwen Team (Alibaba Cloud)
33.7%
01.08.2026 Meta Superintelligence Lab (official model card) Unverified

What now?

You've seen how models score on VCT — here's what to do next.