DeepsecBench-AA: leaderboard

Artificial Analysis's private DeepsecBench run: agents statically review open-source application code pinned before major vulnerability fixes and report findings, which a GPT-5.6 Sol (high) judge validates and matches to an expert-verified golden set; F2 weights recall over precision. Median of three runs on AA's Stirrup harness; cells for models that declined more than 5% of tasks are withheld. F2 (%).

Metric: Median F2 (%). Source: artificialanalysis.ai. Saturation forecast: Around September 2028. 23 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Sol (Max)46.32#19 (GPT-6 Sol)
2GPT-6 Astra (Max)36.93#6 (GPT-6 Astra)
3Kimi K3.1 Pro36.71#17
4DeepSeek V4.1 Flash (Max)31.2#37 (DeepSeek V4.1 Flash)
5Grok 4.7 (xHigh)26.92#26 (Grok 4.7)
6MiMo-V2.6-Pro26.24#48
7Claude Opus 5 (Max)25.85#16 (Claude Opus 5)
8DeepSeek V4.1 Flash (1017) (Max)24.93#27 (DeepSeek V4.1 Flash (1017))
9GLM-5.3 (Max)24.29#44 (GLM-5.3)
10GPT-6 Luna (Max)23.53#61 (GPT-6 Luna)
11GLM-5.3 Flash19.89#77
12Mistral Large 416.02#106
13Step 5 Preview15.81#53
14mistral-large-4-oss (High)14.96#60 (mistral-large-4-oss)
15Gemini 3.8 Flash (High)14.54#30 (Gemini 3.8 Flash)

No result here: #3 Claude Opus 5.5, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=deepsecbench-aa · How It Works · Data refreshed daily, snapshot 2026-11-05.