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dfbench Validation Precision

Cybersecurity · 2026-08-19

Precision of an agent's findings on dfbench's curated validation subset of 27 examples, measured against reported findings in a known vulnerability's file. Its denominator is each agent's own findings.

Benchmark source: Depthfirst

Top models (higher is better)

ModelScoreSource
Claude Opus 5.548.5dfbench: Opus 5.5 high · depthfirst
Gemini 3.6 Flash43.5dfbench: Gemini 3.6 Flash high · depthfirst
Claude Opus 540.5dfbench: Opus 5 med · depthfirst
DeepSeek V4.1 Flash36.4dfbench: DeepSeek v4.1 Flash high · depthfirst
Muse Spark 1.334.1dfbench: Muse Spark 1.3 xhigh · depthfirst
GPT-6 Luna33.3dfbench: GPT 6 Luna med · depthfirst
Kimi K333.3dfbench: Kimi K3 high · depthfirst
GLM-5.230.8dfbench: GLM 5.2 high · depthfirst
Grok 4.730.5dfbench: Grok 4.7 high · depthfirst
Grok 4.529.5dfbench: Grok 4.5 high · depthfirst
GPT-5.6 Luna27.3dfbench: GPT 5.6 Luna med · depthfirst
GPT-5.6 Sol24.6dfbench: GPT 5.6 Sol med · depthfirst
MiMo-V2.6-Flash24.4dfbench: MiMo-v2.6 Flash · depthfirst
GPT-6 Sol22.6dfbench: GPT 6 Sol med · depthfirst
MiMo-V2.6-Pro18.1dfbench: MiMo-v2.6 Pro · depthfirst
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