Unitree Robotics Unitree G1vsUnitree Robotics H1
Side-by-side comparison of Unitree Robotics Unitree G1 and Unitree Robotics H1: specs, price, use cases and SDKs.

Unitree G1
Consumer-grade humanoid with 23 DoF

H1
Sub-$100K Chinese humanoid — fastest walker in class
Specifications
| Spec | Unitree G1 | H1 |
|---|---|---|
| Price (USD) | $16,000 | $90,000 |
| Category | humanoid | humanoid |
| Payload | — | 30 kg |
| Runtime | 2 h | 2 h |
| Speed | 2 m/s | 3.3 m/s |
| Weight | 35 kg | 47 kg |
| Degrees of Freedom | 23 | 19 |
| Battery | 9000mAh | — |
- Research
- Education
- Demos
- Home companion prototyping
- Humanoid robotics research
- Industrial R&D
- Content creation / film
- Robotics competitions
When to pick which
Choose the Unitree G1 for academic institutions or R&D startups focused on fine-motor manipulation and home service robotics. With a significantly lower price point of $16,000, it allows for multi-unit deployments in classroom settings or swarm research. Its 23 degrees of freedom provide superior dexterity compared to the H1, making it the better choice for prototyping human-centric tasks like object handling or gesture-based interaction. The inclusion of ROS2 Humble and Python SDKs ensures a smooth integration for students and researchers primarily focused on software-driven behavioral development rather than heavy-duty industrial locomotion or high-speed transport.
Opt for the Unitree H1 for industrial R&D centers and logistics firms requiring a robust platform for heavy-duty testing. The H1’s standout 30kg payload capacity and record-breaking 3.3m/s walking speed make it suitable for simulating warehouse tasks or rapid outdoor navigation that the G1 cannot handle. It is the preferred choice for high-stakes robotics competitions or film production where physical presence and high-speed stability are critical. While it has fewer degrees of freedom, its superior power-to-weight ratio and industrial-grade build justify the $90,000 investment for organizations prioritizing physical performance and large-scale hardware stress testing over budget constraints.
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