M-ALERT: leaderboard

The model answers 15k red-teaming prompts from ALERT in each of English, German, Spanish, French and Italian; LlamaGuard-3 labels each answer safe or unsafe and the score is the paper's printed mean of the five languages' safe shares, given for 13 base models and their Instruct versions. Unlike ALERT, it tests whether safety holds across translations of the same prompts.

Metric: Safe responses, mean of five languages as printed in Table 6 (%, higher is better). Source: arxiv.org. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 2 27B (IT)99.05#1782
2Gemma 2 9B (IT)99.04#2262
3Gemma 2 2B (IT)98.74#6876
4Llama 3.1 8B Instruct98.71#4246
5Qwen 2.5 14B Instruct98.68#1732
6Qwen 2.5 32B Instruct98.35#1215
7Qwen 2.5 72B Instruct98.33#1092
8Qwen 2.5 3B Instruct97.85#5150
9Qwen 2.5 7B Instruct97.6#2564
10Llama 3.2 3B Instruct97.43#7147
11Llama 3 8B Instruct96.66#4612
12Qwen 2.5 1.5B Instruct95.81#7470
13Qwen 2.5 32B88.02#1332
14Qwen 2.5 0.5B Instruct87.53#8987
15Qwen 2.5 14B87.06#1785

Interactive version: theaggregate.ai/benchmark?slug=m-alert · How It Works · Data refreshed daily, snapshot 2026-11-13.