RPCBench - Error Group - Boundary-Violating Premise - Conditional Localization: leaderboard
Metric: Localization Accuracy (%). Source: github.com. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 Plus | 97.4 |
| 2 | Qwen 3.5 397B A17B | 96.82 |
| 3 | GPT-5.5 | 95.5 |
| 4 | Claude Sonnet 4.6 | 95.42 |
| 5 | Gemini 3.1 Pro (Preview) | 94.31 |
| 6 | Qwen 3.5 122B A10B | 93.75 |
| 7 | Qwen 3.5 35B A3B | 93.03 |
| 8 | DeepSeek V4 Flash | 83.42 |
| 9 | DeepSeek V4 Pro | 83.33 |
| 10 | Llama 3.1 70B Instruct | 81.29 |
| 11 | Llama 3.1 8B Instruct | 59.45 |
Interactive version: theaggregate.ai/benchmark?slug=rpcbench-error-group-boundary-violating-premise-conditional-localization · How It Works · Data refreshed daily, snapshot 2026-09-24.