FinPerMA - Multiple Choice: leaderboard
Part of FinPerMA (Wang et al., 2026): accuracy in percent on 2,494 six-option multiple-choice questions about a synthetic investor persona, answered with the full advisory dialogue history supplied and scored deterministically. Higher is better; chance is about 17 percent.
Metric: Accuracy (%; share of the 2,494 six-option multiple-choice questions whose selected option content matches the gold option, scored deterministically; chance 16.7%; full_context setting: the model receives every prior dialogue turn of the investor persona verbatim; 2,994 questions from 276 synthetic investor personas with frozen event timelines, including Post-Shock checkpoints after material events; provider-default system prompt, single seed). Source: arxiv.org. Saturation forecast: Around 2029. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 4.8 | 39.1 | #56 |
| 2 | GLM-5.2 | 39 | #138 |
| 3 | Gemini 3.1 Pro (Preview) | 38.7 | #94 |
| 4 | Qwen 3.7 Max | 38.3 | #145 |
| 5 | DeepSeek V4 Pro | 37.9 | #188 |
| 6 | GPT-5.6 Sol | 31 | #30 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=finperma-multiple-choice · How It Works · Data refreshed daily, snapshot 2026-11-13.