LLM Trustworthy - Adversarial: leaderboard

The "Adversarial" subtask of LLM Trustworthy. AI-Secure's LLM trustworthiness leaderboard (DecodingTrust) — safety and reliability measured across adversarial robustness, ethics, fairness, out-of-distribution robustness, privacy, stereotype and toxicity dimensions, each reported as...

Metric: Trust Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 26 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3 8B Instruct67.28#1129
2Gemini 1.0 Pro67.28#933
3GPT-4 (0314)64.04#574
4Claude 257.98#761
5vicuna-7B-v1.352.16#1507
6GPT-4o (2024-05-13)51.36#325
7Llama 2 7B Chat51.01#1499
8GPT-4o Mini (2024-07-18)50.25#558
9Mistral-7B-OpenOrca47.23#1389
10mpt-7B-chat46.2#1556
11RedPajama-INCITE-7B-Instruct44.81#1566
12tulu-2-7B44.62#1429
13falcon-7B Instruct43.98#1622
14gemma-7B (IT)43.43#1496
15gemma-2B (IT)43.21#1559

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

Interactive version: theaggregate.ai/benchmark?slug=llm-trustworthy-adversarial · How It Works · Data refreshed daily, snapshot 2026-10-20.