ARFBench (Text Input) - Macro-F1: leaderboard
Metric: Multiclass macro-F1 (%) over the 750 ARFBench questions, with answers mapped to per-category semantic answer classes, 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 April 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 43.9 |
| 2 | Qwen 3 32B | 36.1 |
Interactive version: theaggregate.ai/benchmark?slug=arfbench-text-input-macro-f1 · How It Works · Data refreshed daily, snapshot 2026-10-07.