ARFBench (Text Input) - Categorization: leaderboard

Metric: Accuracy (%) on the 104 Categorization questions (level shift, transient spike, seasonality, variance or trend change) 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.

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Interactive version: theaggregate.ai/benchmark?slug=arfbench-text-input-categorization · How It Works · Data refreshed daily, snapshot 2026-10-07.