RobustBench-TC - Clean: leaderboard
Metric: Tool-call accuracy (%) on the 199 unperturbed baseline samples of RobustBench-TC, the clean reference for its perturbations; RobustBench-TC samples drawn from BFCL V3 single-turn, API-Bank, RoTBench, ToolAlpaca and ToolEyes, each scored by its source benchmark's strict scorer after a format-tolerant tool-call parse, temperature 0 (DeepSeek-R1-Distill at 0.6), Qwen3-family models with thinking disabled; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 32B (Non-reasoning) | 75.4 |
| 2 | Qwen 3 14B (Non-reasoning) | 74.9 |
| 3 | O4 Mini | 70.9 |
| 4 | Qwen 3.5 9B (Non-reasoning) | 70.9 |
| 5 | Qwen 3 8B (Non-reasoning) | 67.3 |
| 6 | DeepSeek R1 Distill Qwen 14B | 61.8 |
| 7 | Qwen 2.5 3B Instruct | 60.8 |
| 8 | Qwen 2.5 1.5B Instruct | 57.3 |
| 9 | Llama 3.2 3B Instruct | 51.8 |
Interactive version: theaggregate.ai/benchmark?slug=robustbench-tc-clean · How It Works · Data refreshed daily, snapshot 2026-10-07.