AJ-Bench (Agent-as-a-Judge) - Deep Search: leaderboard
Metric: F1 (%) on Deep search (Mind2Web 2-derived items; 52 tasks, 156 trajectories), with the judge running as an MCPMark agent that calls tools and inspects the live environment for evidence, of AJ-Bench, judging whether agent trajectories succeeded against binary human-verified labels (155 tasks, 516 trajectories), default model configurations; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | DeepSeek V3.2 | 82.14 |
| 2 | DeepSeek V3.2 (Thinking) | 79.31 |
| 3 | GPT-5 Mini (High) | 79.19 |
| 4 | GPT-5 Mini | 77.11 |
| 5 | GPT-5 Mini (Low) | 75.69 |
Interactive version: theaggregate.ai/benchmark?slug=aj-bench-agent-as-a-judge-deep-search · How It Works · Data refreshed daily, snapshot 2026-10-07.