LLM Trustworthy - Adversarial Demo: leaderboard

The "Adversarial Demo" 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
1GPT-4o Mini (2024-07-18)88.49#558
2GPT-4o (2024-05-13)88.1#325
3GPT-4 (0314)77.94#574
4Llama 3 8B Instruct75.54#1129
5Gemini 1.0 Pro75.54#933
6Claude 272.97#761
7tulu-2-13B71.17#1404
8zephyr-7B-beta68.68#1330
9Mistral-7B-OpenOrca62.15#1389
10tulu-2-7B60.49#1429
11RedPajama-INCITE-7B-Instruct58.51#1566
12mpt-7B-chat58.25#1556
13vicuna-7B-v1.357.99#1507
14Llama 2 7B Chat55.54#1499
15gemma-2B (IT)35.55#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-demo · How It Works · Data refreshed daily, snapshot 2026-10-20.