HPCT
HPCT - High-Performance CTF benchmark evaluating cyber preparedness capabilities.
Category
Safety
Score type
percent
Scale
100%
higher is better
Models tested
3
What is HPCT?
HPCT is a benchmark for safe and responsible behaviour. The official description says: "HPCT - High-Performance CTF benchmark evaluating cyber preparedness capabilities". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
HPCT 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: HPCT - High-Performance CTF benchmark evaluating cyber preparedness capabilities.
Frequently asked questions
What is the HPCT benchmark?
HPCT is a benchmark for safe and responsible behaviour. The official description says: 'HPCT - High-Performance CTF benchmark evaluating cyber preparedness capabilities'. Below we describe in simple words what benchmarks of this type generally examine.
What does HPCT test?
HPCT 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 HPCT 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 HPCT 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/hpct/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
|
54%
|
01.08.2026 | Meta Superintelligence Lab (official model card) | Unverified |
| 2 |
Muse-Glimmer-30B
Meta Superintelligence Lab
|
52.3%
|
01.08.2026 | Meta Superintelligence Lab (official model card) | Verified |
| 3 |
Qwen3.6-27B
Qwen Team (Alibaba Cloud)
|
48.7%
|
01.08.2026 | Meta Superintelligence Lab (official model card) | Unverified |