When2Tool (Multi-Hop): leaderboard
Metric: Accuracy (%; exact-form answers in a boxed final response, checked by a deterministic evaluator; simulated offline tool environments at easy, medium and hard difficulty; 450 multi-hop test tasks in 3 environments, each a chain of three dependent tool calls; tools offered under the neutral default prompt; mean of three seeds). Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 32B | 88.9 |
| 2 | Qwen 3 14B | 87.5 |
| 3 | Qwen 3 4B 2507 Instruct | 82.1 |
| 4 | Llama 3.3 70B Instruct | 62.4 |
| 5 | Llama 3.1 8B | 40.2 |
| 6 | Qwen 3 1.7B | 21.2 |
Interactive version: theaggregate.ai/benchmark?slug=when2tool-multi-hop · How It Works · Data refreshed daily, snapshot 2026-09-26.