Avalon-ToM-Bench - Average: leaderboard
Metric: Accuracy (%; macro-average of four abilities, balanced true/false). Source: arxiv.org. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Pro | 89.67 |
| 2 | GPT-5 | 88.5 |
| 3 | Gemini 2.5 Flash | 86.75 |
| 4 | Qwen 3 4B 2507 (Thinking) | 80.8 |
| 5 | GPT-5 Mini | 80.37 |
| 6 | Qwen 3 8B (Thinking) | 79.51 |
| 7 | Qwen 3 14B (Reasoning) | 77.25 |
| 8 | GPT-4o Mini | 75.04 |
| 9 | Qwen 3 4B (Reasoning) | 74 |
| 10 | Qwen 3.5 9B (Thinking) | 73.82 |
| 11 | Phi-4 | 73.61 |
| 12 | Gemma 3 27B (IT) | 71.51 |
| 13 | GPT-OSS-120B | 71.05 |
| 14 | Mistral 7B Instruct (v0.3) | 70.91 |
| 15 | Llama 3 8B Instruct | 69.98 |
Interactive version: theaggregate.ai/benchmark?slug=avalon-tom-bench-average · How It Works · Data refreshed daily, snapshot 2026-09-19.