ARFBench (Text Input) - Indicator: leaderboard
Metric: Accuracy (%) on the 163 Indicator questions (whether one anomaly leads or lags the other) of ARFBench, for the time series given as serialized text (the text-only LLMs) or through a time-series encoder (the time-series LLMs), with the series description as text; few-shot multiple-choice prompting with shuffled answer choices, temperature 0.05 (default for models without the setting), reasoning models at medium effort with 2,000 output tokens, blank or invalid answers counted wrong; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 59 |
| 2 | Qwen 3 32B | 46.3 |
Interactive version: theaggregate.ai/benchmark?slug=arfbench-text-input-indicator · How It Works · Data refreshed daily, snapshot 2026-10-07.