Know2Guess: leaderboard
Metric: Reliability (0-1 scaled to %): the share of test items handled correctly, a correct answer on the answer-expected zones A to C and an abstention on the synthetic-unknown zone D (no hidden gold answer); standard prompt on the 1,080-item test split, greedy decoding with at most 128 or 160 output tokens, no retrieval or tools; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 9B (Non-reasoning) | 57.04 |
| 2 | Mistral Small 3.2 | 53.98 |
| 3 | Qwen 3 8B (Non-reasoning) | 47.22 |
| 4 | Qwen 2.5 3B Instruct | 38.15 |
| 5 | Llama 3 8B Instruct | 35.46 |
| 6 | Qwen 2.5 1.5B Instruct | 15.74 |
Interactive version: theaggregate.ai/benchmark?slug=know2guess · How It Works · Data refreshed daily, snapshot 2026-09-29.