TopBench - Decision Making: leaderboard
Metric: Decision accuracy (0 to 1) on TopBench's 186 decision-making questions, which ask which of several described profiles will have the best predicted outcome given a historical table, answered from the serialized table (header kept, rows randomly sampled when it exceeds the context budget) without tools: share of questions whose final choice matches the reference; values and decisions extracted from the free-text answer by a DeepSeek-V3.2 judge and checked against the answer text; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 0.62 |
| 2 | DeepSeek V3.2 (Thinking) | 0.61 |
| 3 | GPT-5.2 | 0.57 |
| 4 | DeepSeek V3.2 | 0.57 |
| 5 | Qwen 3 235B A22B 2507 Instruct | 0.53 |
| 6 | Qwen 3 235B A22B 2507 (Thinking) | 0.39 |
Interactive version: theaggregate.ai/benchmark?slug=topbench-decision-making · How It Works · Data refreshed daily, snapshot 2026-10-07.