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MMSI-Bench

This repo contains evaluation code for the paper "[MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence]"

🌐 Homepage | 🤗 Dataset | 📑 Paper | 💻 Code | 📖 arXiv |

🔔News

🔥[2025-05-31]: MMSI-Bench has been supported in the VLMEvalKit repository.

🔥[2025-05-30]: We released the ArXiv paper.

Load Dataset 

from datasets import load_dataset

vsi_bench = load_dataset("RunsenXu/MMSI-Bench")
print(dataset)

Evaluation

Please refer to the evaluation guidelines of VLMEvalKit

🏆 MMSI-Bench Leaderboard

Model Avg. (%) Type
🥇 Human Level 97.2 Baseline
🥈 o3 41.0 Proprietary
🥉 GPT-4.5 40.3 Proprietary
Gemini-2.5-Pro--Thinking 37.0 Proprietary
Gemini-2.5-Pro 36.9 Proprietary
Doubao-1.5-pro 33.0 Proprietary
Qwen2.5-VL-72B 30.7 Open-source
NVILA-15B 30.5 Open-source
GPT-4.1 30.9 Proprietary
GPT-4o 30.3 Proprietary
Claude-3.7-Sonnet--Thinking 30.2 Proprietary
Seed1.5-VL 29.7 Proprietary
DeepSeek-VL2-Small 28.6 Open-source
InternVL2.5-8B 28.7 Open-source
InternVL3-78B 28.5 Open-source
InternVL2.5-78B 28.5 Open-source
LLaVA-OneVision-72B 28.4 Open-source
InternVL2.5-2B 29.0 Open-source
InternVL2.5-26B 28.0 Open-source
NVILA-8B 28.1 Open-source
DeepSeek-VL2 27.1 Open-source
InternVL3-1B 27.0 Open-source
InternVL3-9B 26.7 Open-source
Qwen2.5-VL-3B 26.5 Open-source
InternVL2.5-1B 26.1 Open-source
InternVL2.5-4B 26.3 Open-source
InternVL3-8B 25.7 Open-source
Qwen2.5-VL-7B 25.9 Open-source
InternVL3-2B 25.3 Open-source
Llama-3.2-11B-Vision 25.4 Open-source
🃏 Random Guessing 25.0 Baseline
LLaVA-OneVision-7B 24.5 Open-source
DeepSeek-VL2-Tiny 24.0 Open-source
Blind GPT-4o 22.7 Baseline

Acknowledgment

MMSI-Bench makes use of data from existing image datasets: ScanNet, nuScenes, Matterport3D, Ego4D, AgiBot-World, DTU, DAVIS-2017 ,and Waymo. We thank these teams for their open-source contributions.

Contact

Citation

BibTeX: