ThaiSafetyBench - Human-Chatbot Interaction 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 human-chatbot interaction harms category. Metric is attack success rate (%), lower is better (safer).

Metric: Attack Success Rate (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 24 models tracked.

Top models

#ModelScoreOverall rank
1GPT-55.98#105
2Llama-SEA-LION-v3-70B-IT12.39#407
3Llama 3.3 70B Instruct13.25#541
4Qwen 2.5 72B Instruct14.53#469
5SeaLLMs-v3-7B-Chat15.38#897
6Qwen 2.5 7B Instruct16.24#863
7GPT-4o16.67#357
8Claude Sonnet 4.517.09#148
9Llama 3.1 70B Instruct17.09#567
10Llama-SEA-LION-v3-8B-IT19.23#800
11Llama 3.2 3B Instruct20.51#1327
12Llama 3.1 8B Instruct21.79#1017
13Gemma 3 12B (IT)24.79#672
14Llama 3.2 1B Instruct24.79#1518
15Gemma 3 4B (IT)31.62#997

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

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