Delulu - Hallucination Detection: leaderboard
Metric: Both-correct rate (%) on all 1,951 Delulu samples as an LLM judge: the judge sees each sample twice, once with the gold completion and once with the hallucinated one, and must accept the first and reject the second (both-correct rate, %), with chain-of-thought and a binary verdict; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.5 | 92.1 |
| 2 | GPT-5.2 Codex | 88.2 |
| 3 | Claude Sonnet 4.6 | 85.8 |
| 4 | GPT-5.4 | 82.8 |
| 5 | Claude Haiku 4.5 | 77.9 |
| 6 | GPT-5.4 Mini | 74.8 |
| 7 | GPT-4.1 Mini | 67.7 |
| 8 | GPT-4o Mini | 52.3 |
Interactive version: theaggregate.ai/benchmark?slug=delulu-hallucination-detection · How It Works · Data refreshed daily, snapshot 2026-10-07.