RPCBench - Domain - MIND-small - Conditional Localization: leaderboard
Metric: Localization Accuracy (%). Source: github.com. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 91.24 |
| 2 | DeepSeek V4 Pro | 89.44 |
| 3 | Qwen 3.5 122B A10B | 89.02 |
| 4 | GPT-5.5 | 88.71 |
| 5 | DeepSeek V4 Flash | 88.7 |
| 6 | Qwen 3.5 35B A3B | 88.22 |
| 7 | Qwen 3.5 Plus | 87.46 |
| 8 | Qwen 3.5 397B A17B | 86.42 |
| 9 | Gemini 3.1 Pro (Preview) | 83.24 |
| 10 | Llama 3.1 70B Instruct | 51.69 |
| 11 | Llama 3.1 8B Instruct | 51.16 |
Interactive version: theaggregate.ai/benchmark?slug=rpcbench-domain-mind-small-conditional-localization · How It Works · Data refreshed daily, snapshot 2026-09-24.