OracleProto: leaderboard

Forecasting benchmark (OracleProto, Ma et al., Beijing University of Posts and Telecommunications, 2026) that replays 80 resolved FutureX-Past questions, all resolved after every tested model's training cutoff, to a ReAct agent whose only tool is a Tavily web search limited to pages published before the day before resolution, with an LLM leak detector on every result. Each question is answered three times; the score is composite accuracy in percent, exam-style partial credit (zero for any wrong option chosen) weighted 0.15 on yes/no, 0.15 on binary and 0.70 on multiple-choice questions; higher is better.

Metric: Composite accuracy (%; 80 time-masked forecasting questions, exam-style partial credit weighted 0.15 yes/no, 0.15 binary, 0.70 multiple choice, mean of 3 samples). Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V3.2 Exp60.16#436
2GLM-560.02#256
3Qwen 3.5 Flash58.96#443
4Kimi K2.558#252
5MiniMax-M2.554.94#590

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=oracleproto · How It Works · Data refreshed daily, snapshot 2026-11-12.