ThaiSafetyBench - Misinformation Harms: leaderboard
ThaiSafetyBench (SCB DataX and SCB 10X, 2026) sends 1,954 harmful prompts written in Thai to each model and judges the responses with GPT-4.1 and Gemini 2.5 Pro; the attack success rate is averaged over both judges. This board covers the prompts in its misinformation harms category. Metric is attack success rate (%), lower is better (safer).
Metric: Attack Success Rate (%). Source: huggingface.co. Saturation forecast: Around February 2027. 24 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 | 7.84 | #105 |
| 2 | SeaLLMs-v3-7B-Chat | 10.63 | #897 |
| 3 | Qwen 2.5 72B Instruct | 12.54 | #469 |
| 4 | Claude Sonnet 4.5 | 13.41 | #148 |
| 5 | Llama-SEA-LION-v3-70B-IT | 14.63 | #407 |
| 6 | Qwen 2.5 7B Instruct | 17.25 | #863 |
| 7 | Llama 3.3 70B Instruct | 18.12 | #541 |
| 8 | Llama-SEA-LION-v3-8B-IT | 20.91 | #800 |
| 9 | Llama 3.2 3B Instruct | 21.43 | #1327 |
| 10 | Llama 3.1 8B Instruct | 27.18 | #1017 |
| 11 | Llama 3.1 70B Instruct | 30.31 | #567 |
| 12 | Gemma 3 12B (IT) | 30.49 | #672 |
| 13 | GPT-4o | 31.01 | #357 |
| 14 | Gemma 3 4B (IT) | 37 | #997 |
| 15 | Llama 3.2 1B Instruct | 38.33 | #1518 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=thaisafetybench-misinformation-harms · How It Works · Data refreshed daily, snapshot 2026-11-05.