STQA - SQFRS - Historical Query Accuracy: leaderboard
STQA tests stock-focused tabular question answering over historical and forecast data. QR is historical query reasoning, NF numerical forecasting and FR forecast-based reasoning. The SQFRS tool workflow and vanilla prompting are separate configurations. This series reports STQA - SQFRS - Historical Query Accuracy from 2609.06117v1, S5.T2: Accuracy (%). Higher is better.
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemma 4 31B | 72.38 | #392 |
| 2 | GPT-OSS-120B | 71.78 | #731 |
| 3 | GPT-OSS-20B | 71.52 | #1207 |
| 4 | Qwen 3 30B A3B | 69.24 | #1196 |
No result here: #4 Claude Opus 5.5, #5 GPT-6 Astra, #9 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=stqa-sqfrs-historical-query-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-08.