Delulu - Method Hallucination Detection: leaderboard
Metric: Both-correct rate (%) on the 461 Delulu samples whose hallucination is calls to methods that do not exist, 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 | 94.6 |
| 2 | GPT-5.2 Codex | 92.7 |
| 3 | GPT-5.4 | 84.2 |
| 4 | Claude Sonnet 4.6 | 78.4 |
| 5 | GPT-5.4 Mini | 78.2 |
| 6 | Claude Haiku 4.5 | 77.1 |
| 7 | GPT-4.1 Mini | 73 |
| 8 | GPT-4o Mini | 54.6 |
Interactive version: theaggregate.ai/benchmark?slug=delulu-method-hallucination-detection · How It Works · Data refreshed daily, snapshot 2026-10-07.