PERSPECTRA - Opinion Matching Stance Accuracy: leaderboard
Metric: Stance accuracy (%): the chosen candidate opinion is on the correct side (pro or con) of the debate, for the opinion-matching task (PERSPECTRA: Kialo debate opinions (100 topics, 762 pro and con opinions) each expanded into five Reddit-style arguments by GPT-4o; 500 sampled evaluation items per task, gold labels derived from the Kialo opinion identifiers and stances); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek R1 Distill Qwen 32B | 95 | #640 |
| 2 | Qwen 3 8B | 92.4 | #667 |
| 3 | Qwen 2.5 7B Instruct | 91.2 | #846 |
| 4 | DeepSeek-R1-Distill-Qwen-7B | 89.4 | #1400 |
| 5 | Qwen 3 32B | 86 | #424 |
| 6 | DeepSeek R1 Distill Llama 8B | 84.8 | #1282 |
| 7 | GPT-4o Mini | 81.6 | #588 |
| 8 | GPT-4o | 81.2 | #333 |
| 9 | QwQ-32B | 80.2 | #410 |
| 10 | Falcon3-7B-Instruct | 77.4 | #1284 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=perspectra-opinion-matching-stance-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-11.