RoboSpatialHome
RoboSpatialHome evaluates spatial understanding for robotic home navigation and manipulation.
Qwen3 VL 235B A22B Thinking from Alibaba Cloud / Qwen Team currently leads the RoboSpatialHome leaderboard with a score of 0.739 across 1 evaluated AI models.
What RoboSpatialHome measures
RoboSpatialHome is a image benchmark that evaluates large language models on robotics, spatial reasoning, embodied, and vision tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 100. Current average across reported models is 0.7, with the leader reaching 0.7.
Compare leaders on the best AI for robotics, best AI for spatial reasoning, best AI for embodied and best AI for vision leaderboards.
Qwen3 VL 235B A22B Thinking leads with 0.7%.
Progress Over Time
Interactive timeline showing model performance evolution on RoboSpatialHome
RoboSpatialHome Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 236B | — | — |
FAQ
Common questions about RoboSpatialHome.
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