Inverse Turing Bench: leaderboard
Metric: Accuracy (self-reported). Source: benchmarklist.com. 29 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.6 (Adaptive Reasoning, Max Effort) | 77.92 |
| 2 | Claude Opus 4.6 (Thinking) | 77.56 |
| 3 | GPT-5.5 (High) | 75.94 |
| 4 | GPT-5.5 (Low) | 74.87 |
| 5 | GPT-5.4 (High) | 68.22 |
| 6 | GPT-5.1 (High) | 67.68 |
| 7 | GPT-5.4 (Low) | 64.45 |
| 8 | Claude Sonnet 4.6 (Thinking) | 63.2 |
| 9 | GPT-5.1 (Low) | 63.02 |
| 10 | Claude Opus 4.1 (Thinking) | 60.14 |
| 11 | Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) | 58.35 |
| 12 | Kimi K2.6 | 57.45 |
| 13 | Kimi K2.6 (Thinking) | 55.3 |
| 14 | GPT-4 (0613) | 48.29 |
| 15 | Claude Haiku 4.5 (Thinking) | 47.04 |
Interactive version: theaggregate.ai/benchmark?slug=inverse-turing-bench · How It Works · Data refreshed daily, snapshot 2026-09-05.