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AI model leaderboards

See top models, labs, apps, and providers on AI Gateway with token, request, and cost trends.

DeepsecBench measures how well different AI models find security vulnerabilities in application code, based on the deepsec cyber harness(opens in new tab). The report combines recall and precision into a single benchmark score.

Score vs. cost

Score versus Cost (USD) on a linear x-axis for each model configurationLower cost (usd) appears to the right. Ringed points and the solid line mark the Pareto frontier: configurations that are not dominated by another configuration with at least as high a score and no higher cost (usd), with one of those metrics strictly better.01020304050$0$50$100$150Cost (USD)Score

Score vs. total time

Score versus Total time on a linear x-axis for each model configurationLower total time appears to the right. Ringed points and the solid line mark the Pareto frontier: configurations that are not dominated by another configuration with at least as high a score and no higher total time, with one of those metrics strictly better.010203040500h1h2h3h4h5hTotal timeScore

Results

1
40.91
35.8%96.0%4$12.761h 09m 09s1,716.8Codex
2
37.79
32.8%97.9%2$63.7049m 47s1,683.9Codex
3
35.44
30.6%96.3%3$55.983h 39m 02s2,274.9Codex
4
32.44
28.0%88.0%10$127.932h 34m 19s4,453.7Claude Code
5
29.33
25.0%95.5%3$35.2021m 49s973.0Codex
6
29.31
25.0%94.2%4$12.0528m 08s932.1Codex
7
28.25
24.6%70.5%26$31.9647m 01s999.7Claude Code
8
26.68
22.8%81.2%13$24.593h 01m 40s3,343.4Codex
9
26.68
22.8%81.0%15$40.313h 51m 08s1,175.1Claude Code
10
25.00
21.1%94.3%3$17.9530m 52s703.0Codex
11
21.91
18.5%80.7%11$16.222h 05m 37s1,232.1Pi
12
21.11
17.7%95.5%2$43.422h 22m 57s2,158.8Codex
13
21.05
17.7%89.6%5$0.511h 00m 36s1,423.5Codex
14
20.39
17.2%75.9%13$14.601h 29m 34s1,241.8Pi
15
19.14
15.9%95.3%2$27.811h 45m 32s2,108.7Codex
16
17.49
14.7%77.1%11$12.381h 59m 39s731.9Pi
17
16.99
14.2%76.1%11$45.173h 08m 20s4,601.8Claude Code
18
16.47
13.8%74.0%13$5.941h 18m 09s1,481.0Pi
19
16.47
13.8%73.9%12$6.331h 52m 20s342.6Pi
20
16.47
13.8%73.3%12$11.041h 37m 33s909.6Pi
21
16.16
13.4%100.0%0$22.294h 02m 36s3,456.4Pi
22
15.53
12.9%78.9%8$6.222h 03m 33s383.4Pi
23
15.52
12.9%77.8%10$5.601h 24m 17s1,010.5Pi
24
15.42
12.9%66.7%16$5.061h 21m 16s1,422.5Pi
25
13.58
11.2%89.7%3$1.7524m 56s873.5Codex
26
12.98
10.8%64.3%15$0.3521m 21s1,264.6Pi
27
12.58
10.3%92.3%2$14.9424m 05s751.4Codex
28
12.07
9.9%92.0%2$5.1513m 15s617.7Codex
29
12.03
9.9%82.8%5$5.2311m 59s572.0Codex
30
11.51
9.5%80.0%6$10.7426m 21s2,730.7Pi
31
11.43
9.5%64.1%14$10.841h 29m 16s676.6Pi
32
10.96
9.1%62.5%15$1.8341m 04s1,598.4Pi
33
10.93
9.1%64.7%12$13.2842m 23s1,703.4Pi
34
10.42
8.6%62.5%12$11.091h 03m 38s1,498.9Pi
35
9.99
8.2%82.6%4$7.3207m 01s38.0Claude Code
36
9.86
8.2%53.8%18$51.842h 30m 44s4,727.6Pi
37
8.95
7.3%77.3%5$5.3322m 18s1,822.4Pi
38
7.84
6.5%53.3%14$3.9721m 28s904.5Pi
39
6.89
5.6%81.3%3$7.5619m 29s80.8Claude Code
40
6.85
5.6%61.9%8$10.8118m 16s78.1Claude Code
41
6.30
5.2%48.0%13$1.9311m 34s300.9Pi
42
5.81
4.7%61.1%7$6.6615m 47s442.2Claude Code
43
5.24
4.3%37.0%17$2.1810m 31s509.0Pi
44
4.71
3.9%33.3%18$5.9129m 40s912.4Claude Code
45
2.13
1.7%44.4%5$0.5801m 46s459.9Pi
46
1.07
0.9%28.6%5$0.1801m 07s406.5Pi