aiXamine - Adversarial Robustness: leaderboard

aiXamine Adversarial Robustness service score: resistance to adversarial prompt perturbations on AdvGLUE and AdvGLUE++ tasks (aiXamine, arXiv 2608.20554v1, Appendix Table 7). Normalized 0-100 score aggregated from the service's tests; higher is better. 42 models evaluated under identical black-box conditions via OpenRouter or containerized vLLM.

Metric: Service score (0-100; normalized pass rate). Source: arxiv.org. Saturation forecast: Around February 2027. 42 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)77.2#90
2Gemma 4 31B75.2#212
3GPT-5 Mini71.6#193
4Grok 4 Fast70.3#266
5Gemma 4 26B A4B70.1#360
6Gemma 2 27B69.9#803
7Qwen 3.5 27B69.8#192
8Qwen 3.5 122B A10B69.2#184
9Gemma 3 12B68.6#674
10Grok 4.1 Fast68.3#227
11Qwen 3.5 35B A3B68.1#268
12Llama 3.3 70B67.6#578
13Gemma 3 27B67.3#606
14DeepSeek R1 052867.2#232
15GPT-OSS-120B66.3#346

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

Interactive version: theaggregate.ai/benchmark?slug=aixamine-adversarial-robustness · How It Works · Data refreshed daily, snapshot 2026-11-05.