Visual Question Answering on LingoQA
69.9AccuracyMiMo-Embodied-7B
Evaluation results
| Method | Links | |
|---|---|---|
| MiMo-Embodied-7BModel Type=Embodied Brain MLLM2026.03 | 69.9 | |
| ACE-Brain-0-8BModel Type=Embodied Brain MLLM2026.03 | 65.8 | |
| Gemini2.5-proModel Type=Closed-source MLLM2026.03 | 64.1 | |
| Vlaser-8BModel Type=Embodied Brain MLLM2026.03 | 59.6 | |
| Qwen-VL-MaxModel Type=Closed-source MLLM2026.03 | 58.8 | |
| Qwen3-VL-8B-Inst.Model Type=Open-source general-purpose MLLM2026.03 | 57 | |
| GPT-4oModel Type=Closed-source MLLM2026.03 | 56 | |
| Pelican-VL-7BModel Type=Embodied Brain MLLM2026.03 | 56 | |
| Qwen2.5-VL-7B-Inst.Model Type=Open-source general-purpose MLLM2026.03 | 55.6 | |
| VeBrain-7BModel Type=Embodied Brain MLLM2026.03 | 55 | |
| MiMo-VL-7BModel Type=Open-source general-purpose MLLM2026.03 | 54.8 | |
| InternVL3-8BModel Type=Open-source general-purpose MLLM2026.03 | 50.8 | |
| RoboBrain2.5-8BModel Type=Embodied Brain MLLM2026.03 | 48 | |
| InternVL3.5-8BModel Type=Open-source general-purpose MLLM2026.03 | 46.7 | |
| RoboBrain2.0-7BModel Type=Embodied Brain MLLM2026.03 | 39.2 | |
| Qwen3-VL-2B-Inst.Model Type=Open-source general-purpose MLLM2026.03 | 34.8 |