Grip on LLMs - HonestCityBench - Incorrect Premise: leaderboard
Metric: Appropriate acknowledgement rate (%; LLM judge). Source: arxiv.org. 31 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4o | 70 |
| 2 | Gemma 3 12B (IT) | 68 |
| 3 | Gemma 3 27B (IT) | 65 |
| 4 | Mistral Small 3 | 62 |
| 5 | Qwen 3 8B | 61 |
| 6 | Mistral Medium 3 | 61 |
| 7 | Qwen 3 32B | 59 |
| 8 | Mistral Large 3 | 57 |
| 9 | aya-expanse-32B | 57 |
| 10 | GPT-4o Mini | 51 |
| 11 | Llama 3.1 8B Instruct | 49 |
| 12 | Phi-4 Mini Instruct | 43 |
| 13 | DeepSeek R1 Distill Qwen 32B | 43 |
| 14 | GEITje-7B-ultra | 41 |
| 15 | GPT-OSS-20B | 38 |
Interactive version: theaggregate.ai/benchmark?slug=grip-on-llms-honestcitybench-incorrect-premise · How It Works · Data refreshed daily, snapshot 2026-09-19.