Fourier Intelligence GR-1vsSanctuary AI Phoenix Gen 7
Side-by-side comparison of Fourier Intelligence GR-1 and Sanctuary AI Phoenix Gen 7: specs, price, use cases and SDKs.

GR-1
Open-platform humanoid for research + light industrial pilots

Phoenix Gen 7
Cognitive humanoid with Carbon AI
Specifications
| Spec | GR-1 | Phoenix Gen 7 |
|---|---|---|
| Price (USD) | $150,000 | $250,000 |
| Category | humanoid | humanoid |
| Payload | 50 kg | 25 kg |
| Runtime | 2 h | 6 h |
| Speed | 1.4 m/s | — |
| Weight | 55 kg | 70 kg |
| Degrees of Freedom | 40 | 40 |
| Battery | Li-ion swap | — |
- University research
- Light manufacturing pilots
- Rehabilitation R&D
- Robotic hand teleoperation studies
- Retail stocking
- Manufacturing
- Labor automation
When to pick which
Choose the Fourier Intelligence GR-1 for academic research labs and industrial R&D departments prioritizing open-source flexibility and heavy lifting. At $150,000, it is a more cost-effective entry point for university programs focused on teleoperation or rehabilitation studies. Its standout 50kg payload capacity—double that of the Phoenix—makes it the superior choice for light manufacturing pilots involving heavy material handling or equipment transport. The inclusion of ROS2 drivers and a Python SDK allows developers to bypass proprietary black boxes, making it ideal for teams building custom control stacks or testing novel end-effectors in a controlled laboratory environment.
Select the Sanctuary AI Phoenix Gen 7 for commercial retail stocking or manufacturing environments requiring sustained, autonomous operation across full work shifts. While more expensive at $250,000, its 6-hour runtime significantly outperforms the GR-1’s 2-hour limit, reducing downtime for battery management in high-throughput facilities. The Phoenix is purpose-built for labor automation via the Carbon AI ecosystem, making it the preferred option for buyers seeking a cognitive worker capable of complex task reasoning rather than just a hardware platform. Choose this model for large-scale deployments where autonomous decision-making and operational endurance are more critical than raw lifting capacity.
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