HoF-Bench (No Context): leaderboard

Metric: CVEs rediscovered at pass@4 (out of 95), without the generated-context stage, on 95 public AI-discovered CVEs in eight repositories pinned at vulnerable commits, found by a minimal fixed LLM scanner scaffold with four repeated passes and multi-round triage, credited only when a detector-blinded GPT-5.6 terra judge matches code path, root cause, attack condition and impact; medium reasoning effort where supported. Source: arxiv.org. Saturation forecast: Around August 2027. 10 models tracked.

Top models

#ModelScore
1GPT-5.6 Luna (Medium)65
2GPT-5.4 Mini (Medium)57
3DeepSeek V4 Flash56
4Gemini 3.5 Flash (Medium)53
5Qwen 3.6 35B A3B49
6GPT-OSS-120B48
7GPT-5.4 Nano (Medium)47
8Gemini 2.5 Flash (Medium)42
9GPT-OSS-20B40
10Mistral Small 436

Interactive version: theaggregate.ai/benchmark?slug=hof-bench-no-context · How It Works · Data refreshed daily, snapshot 2026-09-29.