We burned 11.7bn tokens to find the best cyber AI model
aikido.dev | blog | #ai-security | #open-source | #benchmark | #aikido | #llm-security | #vulnerability-discovery | #ai-models | #deepseek
Summary
Aikido burned 11.7B tokens testing 10 AI models against 32 fresh vulns: DeepSeek V4 Pro pooled the most finds (28/32), and open models now rival closed frontier ones—at the cost of noisier leads.
Why it matters
This coverage gives security teams current context for monitoring, validation, and remediation.
- Published
- Collected
--- id: 6619 title: "We burned 11.7bn tokens to find the best cyber AI model" source_domain: aikido.dev source_url: "https://www.aikido.dev/blog/ai-model-benchmarks-aug-21-2026" published_at: "2026-08-21T00:00:00Z" tags: ["ai-security", "open-source", "benchmark", "aikido", "llm-security", "vulnerability-discovery", "ai-models", "deepseek"] phying_url: "https://phying.com/item/6619" lang: en --- # We burned 11.7bn tokens to find the best cyber AI model ## Summary Aikido burned 11.7B tokens testing 10 AI models against 32 fresh vulns: DeepSeek V4 Pro pooled the most finds (28/32), and open models now rival closed frontier ones—at the cost of noisier leads. ## Why it matters This coverage gives security teams current context for monitoring, validation, and remediation. ## Intelligence Metadata - **Sources:** aikido.dev - **Published:** 2026-08-21T00:00:00Z - **Original:** https://www.aikido.dev/blog/ai-model-benchmarks-aug-21-2026 - **Phying News:** https://phying.com/item/6619