ForecastBench Baseline - Zero-Shot - Dataset: leaderboard

ForecastBench Baseline leaderboard, where the ForecastBench team runs models out of the box, zero-shot prompt. 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: Around 2031. 81 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)61.2#126
2GPT-561#105
3GPT-5.5 (2026-04-23)60.7#25
4Gemini 3.1 Pro (Preview)60.6#64
5O4 Mini (2025-04-16)60.6#183
6Gemini 3 Pro (Preview)60.5#71
7Gemini 3.5 Flash60.5#66
8Gemini 2.5 Flash (Preview 04-17)60.5#246
9Kimi K3 (Max)60.4#35 (Kimi K3)
10Grok 4.20 0309 (Reasoning)60.4#120 (Grok 4.20 0309)
11Gemini 3.1 Pro (Preview) (High)60.3#64 (Gemini 3.1 Pro (Preview))
12O3 (2025-04-16)60.2#125
13Gemini 3 Flash (Preview)60.1#90
14Grok 4.1 Fast (Reasoning)60.1#227 (Grok 4.1 Fast)
15Grok 4.20 Beta (0309) (Reasoning)60.1#198 (Grok 4.20 Beta (0309))

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-zero-shot-dataset · How It Works · Data refreshed daily, snapshot 2026-11-05.