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 environments or R&D labs focused on bimanual manipulation and teleoperation. At a $150,000 price point, it is significantly more accessible for university budgets compared to the Phoenix. Its support for ROS2 and Python SDKs makes it the superior choice for developers needing an open-platform architecture to test custom control algorithms. Additionally, its 50kg payload capacity—double that of the Phoenix—suits light industrial pilots involving heavy lifting or rehabilitation studies where the robot must support significant weight. It is the pragmatic choice for modular, software-driven experimentation.
Opt for the Sanctuary AI Phoenix Gen 7 for commercial deployments in retail stocking or manufacturing where continuous operation is critical. The 6-hour runtime significantly outperforms the GR-1, making it viable for full-shift labor automation with fewer charging interruptions. Buyers prioritizing Carbon AI integration for general-purpose cognitive tasks should select this platform, as it is designed for autonomous decision-making in complex environments rather than just raw hardware experimentation. While the $250,000 investment is higher, the focus on long-term deployment stability and integrated cognitive software justifies the cost for enterprise-scale labor replacement.
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