TRACK - Multi-Hop QA (Facts in Context): leaderboard
Metric: Holistic pass (%; multi-hop questions over Wikidata fact chains, 500 items; the final answer is correct and the reasoning entails every required fact; answered with the model's own missing facts appended to the prompt). Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 1.7B | 83.6 |
| 2 | Qwen 3 4B | 80.5 |
| 3 | Qwen 3 8B | 77.7 |
| 4 | GPT-4.1 Mini | 70.8 |
Interactive version: theaggregate.ai/benchmark?slug=track-multi-hop-qa-facts-in-context · How It Works · Data refreshed daily, snapshot 2026-09-26.