STQA - Human-Authored Questions - Forecast Reasoning 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 - Human-Authored Questions - Forecast Reasoning Accuracy from 2609.06117v1, S5.T4: Accuracy (%). Higher is better.
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-OSS-120B | 52.5 | #346 |
| 2 | Gemma 4 31B | 50 | #217 |
| 3 | Qwen 3 30B A3B | 47.5 | #496 |
| 4 | GPT-OSS-20B | 46.67 | #527 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=stqa-human-authored-questions-forecast-reasoning-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-07.