EpiQAL - Text-Grounded Recall: leaderboard
Metric: Exact Match (%; zero-shot, no CoT, full article). Source: arxiv.org. Saturation forecast: Estimated already saturated. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini | 90.5 |
| 2 | Mistral Large 2 (Nov) Instruct (2411) | 90.1 |
| 3 | Qwen 3 30B A3B 2507 Instruct | 88.2 |
| 4 | Qwen 3 32B | 87.2 |
| 5 | Qwen 3 8B | 81.1 |
| 6 | Llama 3.1 8B Instruct | 79.8 |
| 7 | GPT-4.1 Nano | 76.8 |
| 8 | GPT-4o Mini | 76.6 |
| 9 | Mistral 7B Instruct (v0.3) | 72.2 |
| 10 | Phi-4 Mini Instruct | 58.3 |
| 11 | Llama 3.2 3B Instruct | 36.6 |
Interactive version: theaggregate.ai/benchmark?slug=epiqal-text-grounded-recall · How It Works · Data refreshed daily, snapshot 2026-09-25.