Benchmarks / Cyber

SRE Bench

Agent reverse engineering of real-world binary programs without access to source code.

34models
–Open Index weight
2026-10-14last updated
Vals AIpublisher

SRE Bench

Higher is better · best effort per model

Chart settings
34 of 34 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6 Astramax56.9%$10.24–
2GPT-6.1 Solmax50.8%$2.69–
3Gemini 4high44.3%$30.45–
4Opus 5.5max33.6%$34.65–
5Daybreak Bluemax31.7%$54.34–
6GPT-5.6 Solmax30.5%$42.52–
7GPT-6 Solmax30.5%$20.65–
8Sonnet 5.5max30.2%$26.52–
9Fable 5.1max22.9%$32.23–
10Opus 5max12.2%$23.63–
11Wonder Fullmax11.8%$33.81–
12Gemini 3.8 Flashhigh11.1%$27.46–
13GPT-5.6 Terramax9.5%$30.86–
14GLM 5.3max9.2%$27.47–
15Haiku 5.5max5.7%$3.14–
16Gemini 3.7 Flashhigh4.6%$21.47–
17MiMo V2.6 Flashhigh4.2%$0.395–
18Grok 4.7xhigh3.8%$64.77–
19GPT-5.5xhigh3.8%$17.77–
20Muse Spark 1.3max3.8%$25.86–
21MiMo V2.6 Prohigh3.1%$0.533–
22GPT-6 Lunamax2.7%$1.55–
23Hy4–2.3%$4.90–
24DeepSeek V4 Pro 0813max1.9%$5.58–
25GPT-5.6 Lunamax1.5%$3.44–
26DeepSeek V4.1 Flashmax0.8%$0.549–
27GLM 5.3 Flashmax0.8%$2.29–
28Grok 4.5high0.8%$13.42–
29Sonnet 5max0.4%$18.49–
30Step 5 Preview–0.4%$3.07–
31GLM 5.2max0.0%$26.58–
32Muse Spark 1.2xhigh0.0%$23.43–
33Gemini 3.1 Prohigh0.0%$11.34–
34Inklingmax0.0%$2.23–