Digit vs Phoenix: which robot wins?
Agility Robotics's Digit against Sanctuary AI's Phoenix — price, capability, availability, and a verdict you can act on.
| Digit | Phoenix | |
|---|---|---|
| EST. PRICE | RaaS pricing | Enterprise pricing |
| HEIGHT | 5"-9"- / 175 cm | ~5′7″ / 170 cm |
| WEIGHT | ~65 kg | ~70 kg* |
| PAYLOAD | 16 kg | ~25 kg* |
| RUNTIME | ~4 hrs | Tethered/battery options* |
| DEXTERITY | Bird-legged biped, tote-handling arms | 20-DOF hands — class-leading touch* |
| AVAILABILITY | Commercial only | Industrial only |
| WHICHBOT SCORE | 7.5 / 10 | 7.7 / 10 |
| OUR TAKE | The veteran. Longest real-world deployment record of any biped - proof this category works, even if it's not home-bound. | The hands specialist. Sanctuary bet everything on human-grade fingers and touch — the hardest problem, and the one that unlocks the most jobs. |
* Prices are estimates from public statements and filings. Availability changes weekly.
Detailed comparison: Digit vs Phoenix
Digit scores 7.5/10 in our independent evaluation; Phoenix scores 7.7/10. That 0.20000000000000018-point gap is real but not decisive — Digit may still be the right fit depending on your use case.
Digit is best for: Logistics operators who value a proven track record over frontier specs. Phoenix is best for: Believers that dexterity — not walking — is what makes humanoids useful.
Our scoring weighs five factors: autonomous capability, independent verification (third-party evidence scores higher than manufacturer claims), commercial deployment scale, price-to-capability ratio, and real-world availability today. Neither robot here is scored on marketing alone. Digit and Phoenix are both worth evaluating — the right call depends on which robot's documented strengths match your actual workflow.
CHOOSE THE DIGIT IF…
- Logistics operators who value a proven track record over frontier specs.
- Years of real deployment data
- Purpose-built reliability for logistics
CHOOSE THE PHOENIX IF…
- Believers that dexterity — not walking — is what makes humanoids useful.
- Arguably the most human-like hands and haptics in the industry
- Teleop-to-autonomy training pipeline generates rare manipulation data