RuVerBench - Deep Research: leaderboard
Metric: Balanced Accuracy (%). Source: arxiv.org. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) (High) | 94.7 |
| 2 | Kimi K2.6 (Thinking) | 92.2 |
| 3 | Claude Opus 4.7 (Max) | 91.7 |
| 4 | GLM-5.1 (Thinking) | 91.5 |
| 5 | GPT-5.4 (xHigh) | 91.4 |
| 6 | DeepSeek V4 Pro (Max) | 90.8 |
| 7 | Qwen 3.6 Max (Preview) (Thinking) | 90.6 |
| 8 | DeepSeek V4 Flash (Max) | 90.2 |
| 9 | Qwen 3.5 27B (Thinking) | 89.8 |
| 10 | Claude Sonnet 4.6 (Max) | 89.4 |
| 11 | Qwen 3.5 122B A10B (Thinking) | 89.3 |
| 12 | Qwen 3.5 35B A3B (Thinking) | 89.3 |
| 13 | GPT-OSS-120B (High) | 88.9 |
| 14 | MiMo V2.5 Pro (Thinking) | 88.8 |
| 15 | Qwen 3.5 9B (Thinking) | 88.1 |
Interactive version: theaggregate.ai/benchmark?slug=ruverbench-deep-research · How It Works · Data refreshed daily, snapshot 2026-09-19.