RPCBench - Error Group - Boundary-Violating Premise - Proactive Detection: leaderboard
Metric: Detection Rate (%). Source: github.com. Saturation forecast: Around December 2026. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 94.27 |
| 2 | Qwen 3.5 Plus | 88.07 |
| 3 | Qwen 3.5 397B A17B | 86.47 |
| 4 | Claude Sonnet 4.6 | 85.09 |
| 5 | Qwen 3.5 122B A10B | 80.73 |
| 6 | Gemini 3.1 Pro (Preview) | 76.61 |
| 7 | Qwen 3.5 35B A3B | 74.08 |
| 8 | DeepSeek V4 Pro | 44.72 |
| 9 | DeepSeek V4 Flash | 42.2 |
| 10 | Llama 3.1 70B Instruct | 37.39 |
| 11 | Llama 3.1 8B Instruct | 29.13 |
Interactive version: theaggregate.ai/benchmark?slug=rpcbench-error-group-boundary-violating-premise-proactive-detection · How It Works · Data refreshed daily, snapshot 2026-09-24.