MiGUE-Bench - Cross-Document Coreference: leaderboard
Metric: Accuracy (%) on 300 cross-document event coreference questions (2 options); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 Pro | 96.36 |
| 2 | Claude Opus 4.5 | 93.33 |
| 3 | Gemini 3 Pro | 91 |
| 4 | GLM-4.7 | 86 |
| 5 | DeepSeek V3.2 | 85.67 |
| 6 | Kimi K2 | 84 |
| 7 | Qwen 3 Max | 77 |
| 8 | Qwen 3 235B A22B | 76.67 |
| 9 | Claude Haiku 4.5 | 74 |
| 10 | Qwen 3 8B | 73.33 |
| 11 | Qwen 3 30B A3B | 62 |
Interactive version: theaggregate.ai/benchmark?slug=migue-bench-cross-document-coreference · How It Works · Data refreshed daily, snapshot 2026-09-29.