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 heavy-lifting logistics and rehabilitation studies. At $150,000, it offers a more accessible entry point for universities needing an open-platform system with native ROS2 and Python support for custom algorithm development. Its standout 50kg payload capacity—double that of the Phoenix—makes it the superior choice for pilot programs involving heavy material handling or physical therapy assistance where the robot must support significant weight. The swappable battery system suits high-intensity testing cycles where rapid hardware turnaround is prioritized over continuous single-charge runtime.
Opt for the Sanctuary AI Phoenix Gen 7 for large-scale commercial deployments in retail stocking or industrial manufacturing where operational endurance is critical. The 6-hour runtime significantly outlasts the GR-1, making it viable for full-shift labor automation with fewer interruptions for power management. Buyers prioritizing autonomous decision-making and complex task execution should leverage the proprietary Carbon AI stack designed specifically for general-purpose labor. While the initial $250,000 investment is higher, the Phoenix is better suited for enterprises scaling autonomous workflows that require sophisticated cognitive integration and sustained uptime in dynamic, customer-facing or production environments.
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