DreadIndex
Benchmarking language models against offensive cyber security evaluations.
For more information on methodology and evaluation criteria, check out our writeup or contact the Dreadnode research team.
Max cost Any cost
Leaderboard
0 models · Updated October 2026
Score vs. Cost
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Score by Release Date
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About DreadIndex
DreadIndex is a comprehensive benchmark designed to evaluate the offensive cyber security capabilities of language models. Developed by Dreadnode, it measures how well models perform across a range of adversarial security tasks including vulnerability discovery, exploit generation, and red team operations.
Each model is evaluated against a standardized set of challenges that reflect real-world offensive security scenarios. Scores represent overall performance across all evaluation categories, normalized to a 0-100 scale.