Comparison
LEAP Hand vs Allegro Hand: 16 DOF against 16 DOF
Two hands, same joint count, sixteen times the price difference at the low end. The comparison is not about degrees of freedom.
Buy the Allegro if your work depends on measuring torque at each joint. Buy the LEAP Hand if it depends on having many hands, or on modifying the hand itself. The 16-DOF number is identical and tells you almost nothing.
| Field | LEAP Hand v1 | Allegro Hand V5 |
|---|---|---|
| Price | $2,066 kit / $4,550 v2 | $13,000 to $21,450 |
| Actuated DOF | 16 | 16 |
| Actuators | 16 Dynamixel XC330 servos | 16 brushless DC motors |
| Torque sensing | None | Every joint |
| Mass | 1.2 kg (v1) | 1.1 kg |
| Fingertip force | 5–15 N, configuration dependent | 5–20 N |
| Tactile | None | Add-on only |
| Interface | USB, Python | CAN, 24 V |
| ROS 2 | Community package | Vendor maintained |
| Simulation | URDF, MuJoCo, Isaac (v1) | MuJoCo, Isaac |
| Assembly | Under 3 hours, kit | Ships assembled |
| License | Code MIT, CAD CC BY-NC-SA | Proprietary |
Where the money goes
The Allegro costs roughly six LEAP kits. What that buys is instrumentation: a torque sensor on every joint, a vendor-maintained ROS stack, and a platform that reviewers recognize without explanation. If your paper reports impedance control or contact force, that measurement layer is the experiment.
The LEAP Hand buys breadth instead. Six kits mean six simultaneous data-collection stations, or five plus a spare, and the design files are open, so a lab can change fingertip geometry, add a camera, or print a replacement part overnight. What it cannot do is tell you the torque at joint 3.
The one-eighth claim
The 2023 LEAP paper reported better results than the Allegro at roughly one eighth of the cost. That claim is true against $16,000 and approximately true against $13,000. Against $21,450 it becomes closer to one tenth. The denominator matters, and the Allegro price record explains why the denominator is not stable.
When each one wins
- Choose the Allegro for torque-controlled manipulation, force-sensitive assembly, or any result that needs to be comparable with a decade of published baselines.
- Choose the LEAP Hand for reinforcement learning at scale, for teaching, for hardware modification, or when the budget covers three labs instead of one hand.
- Choose neither if you need tactile arrays in the fingertips. Both treat that as an add-on, and the PaXini DexH13 is built around it.
The thing neither spec sheet says
Support. A vendor-maintained ROS stack saves weeks when a package breaks after an OS upgrade. An open design saves weeks when you need a part that no longer exists. Those are different kinds of insurance, and which one you need depends on whether your bottleneck is software or hardware.
Questions
Is the LEAP Hand really as capable as an Allegro?
For pick-and-place, imitation learning and most RL benchmarks, yes. For work that needs measured joint torque, no. The 16-DOF label hides that difference.
Which is easier to integrate?
The Allegro ships assembled with maintained ROS support. The LEAP kit takes a few hours and assumes familiarity with Dynamixel servos.