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 institutions or R&D labs operating on tighter budgets where software flexibility is paramount. Its $150,000 price point and open-platform SDKs, including ROS2 and Python support, make it ideal for developing custom teleoperation algorithms or rehabilitation protocols. In light manufacturing pilots, the GR-1’s superior 50kg payload capacity allows it to handle significantly heavier components than the Phoenix. Select this model for multi-unit deployments in controlled environments where swappable batteries can mitigate the shorter two-hour runtime, prioritizing raw lifting power and developer access over autonomous cognitive reasoning.
Opt for the Sanctuary AI Phoenix Gen 7 for large-scale retail or logistics operations requiring sustained, autonomous labor across full shifts. While the $250,000 investment is higher, the six-hour runtime drastically reduces downtime compared to the GR-1, making it suitable for continuous stocking or sorting tasks in warehouses. The integration of the Carbon AI cognitive stack is the decisive factor for buyers needing brain-first automation where the robot must navigate complex, unstructured environments without constant human intervention. Choose the Phoenix for commercial deployments where long-duration reliability and advanced cognitive processing outweigh the need for high-payload lifting or open-source software customization.
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