ThaiSafetyBench - Thai Socio-Cultural 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 Thai socio-cultural 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

#ModelScoreOverall rank
1GPT-58.97#105
2SeaLLMs-v3-7B-Chat16.98#897
3Claude Sonnet 4.519.47#148
4Qwen 2.5 72B Instruct22.9#469
5GPT-4o27.48#357
6Llama-SEA-LION-v3-70B-IT29.77#407
7Qwen 2.5 7B Instruct33.4#863
8Llama-SEA-LION-v3-8B-IT38.36#800
9Gemma 3 12B (IT)38.55#672
10Llama 3.3 70B Instruct44.66#541
11Gemma 3 4B (IT)47.14#997
12Llama 3.1 70B Instruct54.39#567
13Llama 3.2 3B Instruct57.37#1327
14Llama 3.2 1B Instruct63.17#1518
15Llama 3.1 8B Instruct65.08#1017

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=thaisafetybench-thai-socio-cultural-harms · How It Works · Data refreshed daily, snapshot 2026-11-05.