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MagicLab Studio’s EchoPolicy-0 and MagicBrain Rank First and Fourth on MolmoSpaces Combined

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MagicLab Studio’s EchoPolicy-0 ranked first on the MolmoSpaces Combined benchmark with 75.4% average success, while its 3.4B-parameter MagicBrain ranked fourth with 72.4%, QbitAI reported. The rankings were current as of October 13, 2026. EchoPolicy-0’s result covered all four v1 manipulation tasks across 3,915 evaluation episodes; MagicBrain also recorded 94.4% grasping success. The two systems use different approaches to manipulation. EchoPolicy-0 combines vision-language-model-guided selection of candidate trajectories with execution checks. MagicBrain uses visual markers and post-training to connect target locations with actions without changing its vision-language-action architecture.

Generated by AI from reports · Updated 4 days ago

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10/13
  1. MagicLab Studio’s EchoPolicy-0 tops MolmoSpaces Combined with 75.4% average success

    QbitAI reports that MagicLab Studio’s EchoPolicy-0 ranked first on MolmoSpaces Combined as of October 13, 2026, achieving 75.4% average success across all four v1 manipulation tasks in 3915 evaluation episodes. Its 3.4B-parameter MagicBrain ranked fourth with 72.4% average success and 94.4% grasping success. EchoPolicy-0 combines VLM-guided candidate trajectory selection with execution checks, while MagicBrain uses visual markers and post-training to connect target locations with actions without changing the VLA architecture.

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