DeepSearchQA: leaderboard
Deep-search question-answering benchmark for agents that must gather, compare, and synthesize evidence across multi-hop web research tasks.
Metric: Score (%). Source: llm-stats.com. Status: years away from saturation. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K3 | 95 |
| 2 | Claude Opus 4.8 | 93.1 |
| 3 | Claude Opus 4.6 | 91.3 |
| 4 | Hy3 | 91 |
| 5 | Muse Spark 1.3 | 89.4 |
| 6 | MiMo-V2-Pro | 86.7 |
| 7 | Kimi K2.6 | 83 |
| 8 | Kimi K2.5 | 77.1 |
| 9 | Muse Spark | 74.8 |
| 10 | Muse Glimmer 30B | 74.6 |
Interactive version: theaggregate.ai/benchmark?slug=deepsearchqa · How It Works · Data refreshed daily, snapshot 2026-09-05.