Spatial Aptitude on SAT
92AccuracyACE-Brain-0-8B
Evaluation results
| Method | Links | |
|---|---|---|
| ACE-Brain-0-8BModel Type=Embodied Brain MLLM2026.03 | 92 | |
| Gemini-2.5-ProModel Type=Closed-source MLLM2026.03 | 79.3 | |
| MiMo-Embodied-7BModel Type=Embodied Brain MLLM2026.03 | 78.7 | |
| Claude-4-SonnetModel Type=Closed-source MLLM2026.03 | 75.3 | |
| RoboBrain2.0-7BModel Type=Embodied Brain MLLM2026.03 | 75.3 | |
| VeBrain-7BModel Type=Embodied Brain MLLM, Evaluation Protocol=Our evaluation framework2026.03 | 73.3 | |
| InternVL3-8BModel Type=Open-source general-purpose MLLM, Evaluation Protocol=Our evaluation framework2026.03 | 72.7 | |
| Qwen3-VL-2B-Inst.Model Type=Open-source general-purpose MLLM, Evaluation Protocol=Our evaluation framework2026.03 | 67.3 | |
| Pelican-VL-7BModel Type=Embodied Brain MLLM, Evaluation Protocol=Our evaluation framework2026.03 | 67.3 | |
| GPT-4oModel Type=Closed-source MLLM2026.03 | 66.7 | |
| Vlaser-8BModel Type=Embodied Brain MLLM, Evaluation Protocol=Our evaluation framework2026.03 | 66.7 | |
| Qwen3-VL-8B-Inst.Model Type=Open-source general-purpose MLLM, Evaluation Protocol=Our evaluation framework2026.03 | 66 | |
| RoboBrain2.5-8BModel Type=Embodied Brain MLLM, Evaluation Protocol=Our evaluation framework2026.03 | 63.3 | |
| MiMo-VL-7BModel Type=Open-source general-purpose MLLM2026.03 | 59.3 | |
| InternVL3.5-8BModel Type=Open-source general-purpose MLLM2026.03 | 59.3 | |
| Qwen-VL-MaxModel Type=Closed-source MLLM2026.03 | 56.7 | |
| Qwen2.5-VL-7B-Inst.Model Type=Open-source general-purpose MLLM2026.03 | 52 |