ForecastBench Baseline - Scratchpad - Dataset: leaderboard

ForecastBench Baseline leaderboard, where the ForecastBench team runs models out of the box, scratchpad prompt (step-by-step reasoning before the probability). Dataset component: questions generated automatically from time-series data sources; difficulty-adjusted Brier Index on 0-100 (higher is better; 50 equals always forecasting 0.5). Superforecaster and public medians, naive baselines and LLM crowds are excluded.

Metric: Dataset Brier Index (difficulty-adjusted, higher is better). Source: www.forecastbench.org. Saturation forecast: Estimated already saturated. 36 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.5 (Preview)61.1#260
2Claude Opus 4 (20250514)60.8#164
3Gemini 2.5 Flash (Preview 04-17)60.7#246
4O4 Mini (2025-04-16)60.4#183
5O3 (2025-04-16)60.3#125
6GPT-4.160.2#258
7Claude 3.7 Sonnet (20250219)60.1#209
8Claude Opus 4.1 (20250805)59.7#139
9DeepSeek R158.8#262
10DeepSeek V358.7#329
11Claude 3.5 Sonnet (20241022)58.6#302
12O3 Mini (2025-01-31)58.6#249
13Claude 3.5 Sonnet (20240620)58.5#308
14Claude Sonnet 4 (20250514)57.8#223
15Gemini 1.5 Pro57.6#454

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=forecastbench-baseline-scratchpad-dataset · How It Works · Data refreshed daily, snapshot 2026-11-05.