LLM Milgram Obedience - Baseline Full-Obedience Rate: leaderboard
Metric: Valid baseline sessions ending at 450 V (%; lower is less obedient). Source: github.com. 39 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 3.3 70B Instruct | 0 |
| 2 | Gemini 3.5 Flash | 0 |
| 3 | Claude Sonnet 5 | 0 |
| 4 | Qwen 3.8 Max | 0 |
| 5 | Gemini 3.7 Flash | 0 |
| 6 | Grok 4.6 | 0 |
| 7 | GPT-5.6 Luna (Non-reasoning) | 0 |
| 8 | GPT-5.6 Sol (Non-reasoning) | 0 |
| 9 | GPT-5.6 Terra (Non-reasoning) | 0 |
| 10 | MiMo-V2.5-Pro (Non-reasoning) | 10 |
| 11 | DeepSeek V3 (0324) | 11.11 |
| 12 | Nova Pro (v1) | 11.11 |
| 13 | DeepSeek V4 Flash (0731) (Non-reasoning) | 21.43 |
| 14 | Qwen 3.8 27B (Non-reasoning) | 26.67 |
| 15 | Gemini 2.5 Pro | 28.57 |
Interactive version: theaggregate.ai/benchmark?slug=llm-milgram-obedience-baseline-full-obedience-rate · How It Works · Data refreshed daily, snapshot 2026-09-19.