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Benchmarks · safety

DeepsecBench-AA

DeepsecBench-AA (based on Vercel's DeepsecBench), part of the AA Cyber Index: finding and fixing vulnerabilities in real codebases; score.

19 models · 19 results · data as of 2026-10-29 · artificialanalysis.ai ↗

Leaderboard

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19 of 19 selected
GPT-6 Sol max

More from this benchmark

4 published measures

Breakdown

darker is better within each column · click a column to sort
Model
GPT-6 Sol max48,727,64994,055367,98946,517,146
GPT-6 Astra max14,977,45586,072178,99913,181,687
DeepSeek V4.1 Flash max103,034,568149,0471,045,635100,642,557
Grok 4.7 xhigh75,864,787123,622687,09373,895,643
Opus 5.5 max, fallback77,506,876165,093820,73575,417,130
MiMo V2.6 Pro18,370,75981,514408,14517,446,639
Opus 5 max48,358,507141,258524,35746,686,711
GPT-5.6 Terra max61,921,170140,399440,03158,026,935
DeepSeek V4.1 Flash 1017 max77,691,277133,268755,44375,766,994
GLM 5.3 max48,824,226117,905547,77847,502,397
GPT-6 Luna max30,861,68164,008659,63828,996,658
Fable 5.1 max, fallback51,927,709133,798456,45650,382,927
GLM 5.3 Flash max20,748,98676,530321,32719,877,027
Gemini 3.8 Flash high46,579,70639,530521,66445,319,851
Muse Spark 1.3 xhigh16,970,29260,809165,34416,206,702
Kimi K3 max3,554,55339,516102,7373,202,851
Qwen 3.8 27B xhigh20,991,26978,973322,53820,133,499
Qwen 3.8 2.4T-A95B17,541,24761,641314,02316,699,589
MiniMax M382,856,518165,638317,76081,801,126

All results

19 rows
#ModelEffortDeepsecBench-AA
1GPT-6 Solmax46.3%
2GPT-6 Astramax36.9%
3DeepSeek V4.1 Flashmax31.2%
4Grok 4.7xhigh26.9%
5Opus 5.5max26.9%
6MiMo V2.6 Pro26.2%
7Opus 5max25.9%
8GPT-5.6 Terramax25.1%
9DeepSeek V4.1 Flash 1017max24.9%
10GLM 5.3max24.3%
11GPT-6 Lunamax23.5%
12Fable 5.1max23.5%
13GLM 5.3 Flashmax19.9%
14Gemini 3.8 Flashhigh14.5%
15Muse Spark 1.3xhigh12.5%
16Kimi K3max12.5%
17Qwen 3.8 27Bxhigh11.5%
18Qwen 3.8 2.4T-A95B9.5%
19MiniMax M31.1%