SVFSearch - RAG Workflow: leaderboard
Metric: Accuracy (%) on the 5,000-item SVFSearch test split (four-choice questions about a paused Chinese game video frame), given only the frame, question and options, with the fixed RAG workflow (image retrieval over the frozen game image index, element voting, then top-5 text retrieval) whose evidence is given to the model; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 27B (Non-reasoning) | 69.4 |
| 2 | Qwen 3.5 9B (Non-reasoning) | 66.5 |
| 3 | Qwen 2.5 VL 7B | 57.3 |
Interactive version: theaggregate.ai/benchmark?slug=svfsearch-rag-workflow · How It Works · Data refreshed daily, snapshot 2026-10-07.