CATTest - Pass/Not-Pass Accuracy: leaderboard
Metric: Accuracy (%). Source: arxiv.org. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 | 83.33 |
| 2 | Claude Sonnet 4.6 | 82.47 |
| 3 | Claude Opus 4.6 | 81.37 |
| 4 | GPT-5.5 | 76.47 |
| 5 | GPT-5.4 | 76.47 |
| 6 | Gemini 3.1 Pro (Preview) | 73.53 |
| 7 | Gemini 3 Flash | 73.53 |
| 8 | Qwen 3.6 27B | 71.57 |
| 9 | Kimi K2.6 | 69.61 |
| 10 | Qwen 3.5 27B | 69.61 |
| 11 | Qwen 3.5 Plus | 68.63 |
| 12 | GLM-5V Turbo | 61.78 |
| 13 | GPT-5.4 Mini | 58.82 |
| 14 | Seed 2.0 Pro | 50.98 |
| 15 | Gemini 3.1 Flash Lite | 48.04 |
Interactive version: theaggregate.ai/benchmark?slug=cattest-pass-not-pass-accuracy · How It Works · Data refreshed daily, snapshot 2026-09-19.