AIKIDO ARENA
AI model benchmarks for cybersecurity
See the best models for cybersecurity. We run frontier models against vulnerabilities in real-world software. Updated as new models ship.
Last updated: 2026-08-21
Changelog
October 2, 2026
- Added Xiaomi MiMo 2.6 Pro results
- It found 25/32 vulnerabilities pass@3, matching GPT-6.1 Sol, Kimi K3 and GLM 5.3 and just one behind Opus 5
- It scored 88% precision, ahead of all Qwen and DeepSeek models
- One run found 64.6% on average; combining three got it to 78.1%
- All that for just $11.79 per CVE found
September 29, 2026
- Added Grok 4.7 results
- 4.7 found 3 vulnerabilities that 4.6 missed every time, while 4.6 found 2 that 4.7 missed. The trade-off is repeatability. 4.7 found 18/32 in all three runs, versus 21/32 for 4.6. More reach for a little less consistency.
- Added GPT-6 Luna and GPT-6 Sol results
- We ran GPT-6 Luna and Sol on our 32-CVE cyber benchmark and the results were unexpected! Luna rediscovered 53.1%. Sol reached 68.8%.
- Neither beat GPT-5.6 variants on recall. But both got A LOT cheaper per vulnerability found: Luna $3.43 → $2.01/CVE and Sol $56.88 → $34.18/CVE.
September 11, 2026
- Added GPT-6 Astra and GLM-5.3 Flash results.
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