PERSPECTRA - Polarity Check: leaderboard

Metric: Accuracy (%) of the binary dominant stance (pro or con, the majority of the included expansions' stances) of a paragraph concatenating several expanded arguments of one topic (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

#ModelScoreOverall rank
1GPT-4o76.4#333
2GPT-4o Mini72.8#588
3Qwen 3 32B67.6#424
4DeepSeek R1 Distill Qwen 32B67.2#640
5QwQ-32B66.4#410
6Qwen 3 8B64#667
7Qwen 2.5 7B Instruct58.6#846
8DeepSeek-R1-Distill-Qwen-7B54.8#1400
9DeepSeek R1 Distill Llama 8B54.8#1282
10Falcon3-7B-Instruct51#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-polarity-check · How It Works · Data refreshed daily, snapshot 2026-10-11.