Spatial Perception on CV-Bench 3D
92.2AccuracySpatialStack-5B
Evaluation results
| Method | Links | |
|---|---|---|
| SpatialStack-5BModel Type=Dual-Encoder MLLMs, Backbone=Qwen3.52026.03 | 92.2 | |
| Qwen3.5-4BModel Type=Open-source Models2026.03 | 90.2 | |
| SPAR-8BModel Type=Open-source Models2026.03 | 89.1 | |
| VG-LLM-4BModel Type=Dual-Encoder MLLMs2026.03 | 87.7 | |
| SpatialStack-4BModel Type=Dual-Encoder MLLMs, Backbone=Qwen2.52026.03 | 87 | |
| SAT-LLaVA-Video-7BModel Type=Open-source Models2026.03 | 83.8 | |
| GPT-4oModel Type=Proprietary Models (API)2026.03 | 83 | |
| Multi-SpatialMLLMModel=Multi-SpatialMLLM2025.05 | 81.7 | |
| Cambrian-1-34BModel Type=Open-source Models2026.03 | 79.7 | |
| Mini-Gemini-HD-34BModel Type=Open-source Models2026.03 | 79.2 | |
| InternVL-8BModel=InternVL-8B2025.05 | 78.2 | |
| Cambrian-S-3BModel Type=Open-source Models2026.03 | 76.3 | |
| LLaVA-NeXT-34BModel Type=Open-source Models2026.03 | 74.8 | |
| Qwen2.5-VL-3BModel Type=Open-source Models2026.03 | 70.4 |