EMRB - Average: leaderboard
Metric: Accuracy (%; mean of five levels). Source: arxiv.org. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 78.9 |
| 2 | Grok 4.5 | 77.8 |
| 3 | Claude Opus 4.7 | 70.3 |
| 4 | GLM-5.2 | 65.8 |
| 5 | Claude Sonnet 4.6 | 65.6 |
| 6 | Gemini 3.1 Pro (Preview) | 65.5 |
| 7 | DeepSeek V4 Pro | 62.6 |
| 8 | Gemini 3.5 Flash | 57.2 |
| 9 | MiniMax-M3 | 56.9 |
| 10 | MiMo-V2.5-Pro | 56.8 |
| 11 | DeepSeek V4 Flash | 56.4 |
| 12 | Kimi K2.6 | 50.6 |
| 13 | Llama 3.3 70B | 24.1 |
Interactive version: theaggregate.ai/benchmark?slug=emrb-average · How It Works · Data refreshed daily, snapshot 2026-09-19.