ReaLM - PromptInject: leaderboard
Metric: Attack success rate (%; share of adversarial cases where the model gives an incorrect, task-relevant answer) under PromptInject (adversarial instructions appended to the prompt) on the 832 ReaLM physical-world cases (driving, manipulation, grasping, physics, egocentric, diagnostics and scene QA; image, question and ground-truth answer), black-box one-shot evaluation at temperature 0, a Qwen3-8B judge extracting the answer; lower is better. Source: arxiv.org. Saturation forecast: Around 2033. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Seed 2.0 Mini | 52.9 |
| 2 | GPT-4.1 Mini | 55.4 |
| 3 | Kimi K2.5 | 59.5 |
| 4 | Gemini 3 Flash | 61.9 |
| 5 | Qwen 3.5 9B | 63.7 |
| 6 | Qwen 3.6 Flash | 64 |
| 7 | Qwen 3 VL 32B | 64 |
| 8 | Qwen 3.5 122B A10B | 64.3 |
| 9 | Qwen 3.5 27B | 66 |
Interactive version: theaggregate.ai/benchmark?slug=realm-promptinject · How It Works · Data refreshed daily, snapshot 2026-09-29.