SIS-Bench - Object Attribute: leaderboard
Metric: Accuracy (%; 387 object attribute questions; four-option multiple choice on UAV videos (at most 32 frames), zero-shot, open models through vLLM with at most 128 generated tokens and proprietary models through their APIs; higher is better). Source: arxiv.org. Saturation forecast: Around December 2026. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 8B Instruct | 82.2 |
| 2 | Gemini 3 Flash (Preview) | 80.6 |
| 3 | Qwen 3 VL 4B Instruct | 80.4 |
| 4 | Qwen 3 VL 30B A3B Instruct | 78.6 |
| 5 | Kimi K2.5 | 78 |
| 6 | InternVL3-14B | 77.5 |
| 7 | GLM-4.1V-9B (Thinking) | 77.5 |
| 8 | InternVL3.5-8B | 76.5 |
| 9 | Qwen 3.5 Plus | 76.2 |
| 10 | Qwen 3 VL 8B (Thinking) | 76 |
| 11 | GPT-5.4 | 74.9 |
| 12 | Seed 1.8 | 72.6 |
| 13 | Step3 VL 10B | 72.4 |
| 14 | Qwen 2.5 VL 7B Instruct | 71.1 |
| 15 | Qwen 2 VL 7B Instruct | 48.3 |
Interactive version: theaggregate.ai/benchmark?slug=sis-bench-object-attribute · How It Works · Data refreshed daily, snapshot 2026-09-29.