ArgBench (Zero-Shot) - Argument Mining: leaderboard
Metric: Macro F1 (0-1, times 100) averaged over the argument mining (unit segmentation and classification) tasks, zero-shot prompting; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 | 53.6 |
| 2 | Llama 3.3 70B Instruct | 49 |
| 3 | Mistral-Small-Instruct-2409 | 43.1 |
| 4 | Mixtral 8x7B Instruct (v0.1) | 42.7 |
| 5 | Qwen 3 32B | 41.5 |
| 6 | Llama 3.1 8B Instruct | 38.8 |
| 7 | Mistral 7B Instruct (v0.3) | 38.5 |
| 8 | Qwen 3 4B | 37.8 |
| 9 | DeepSeek R1 Distill Qwen 32B | 35.2 |
| 10 | DeepSeek-R1-Distill-Qwen-7B | 30.6 |
Interactive version: theaggregate.ai/benchmark?slug=argbench-zero-shot-argument-mining · How It Works · Data refreshed daily, snapshot 2026-10-07.