Compare
Mirokaï vs Reachy 2
Quick verdict
Mirokaï leads on 6 of 11 comparable rows
Mirokaï leads on Price, Mobility, Perception, and Autonomy (+2 more). Reachy 2 leads on Readiness Score, Reality Score, Data Freshness, and Battery (+1 more).
Who should choose which?

Choose Mirokaï if…
- Budget is a priority and Mirokaï lists lower ($30,000+).
- Your main goal is elder care, which Mirokaï targets directly.
- Strengths like social interaction and perception match how you plan to use it at home.

Choose Reachy 2 if…
- You want higher readiness (86/100 vs peers) for near-term home use.
- Verified shipping and public proof matter more to you (reality score 84/100).
- Your main goal is education, which Reachy 2 targets directly.
- Strengths like manipulation and perception match how you plan to use it at home.
| Spec | ![]() Mirokaï Enchanted ToolsLeads 6 | ![]() Reachy 2 Pollen RoboticsLeads 5 |
|---|---|---|
| Performance | ||
| Readiness Score | 81 | 86 |
| Reality Score | 74 | 84 |
| Data Freshness | 85% | 100% |
| Speed | 3.2 km/h | Unknown |
| Payload | 3 kg | 3 kg per arm |
| Specs | ||
| Height | 123 cm | 136–166 cm |
| Weight | 26 kg | 32–50 kg |
| Battery | 4 h | 8–10 h |
| Form | Humanoid | Humanoid |
| Availability | ||
| Price | $30,000+ | $70,000+ |
| Market Status | Limited | Limited |
| Availability | Limited | Limited |
| Countries | France, Japan, United States | United States, France, Global (direct order) |
| Intelligence | ||
| Mobility | 86 | 68 |
| Manipulation | 70 | 88 |
| Perception | 88 | 86 |
| Autonomy | 76 | 72 |
| Social Interaction | 94 | 70 |
| Home Navigation | 72 | 58 |
| Sensors | 2× RGBD cameras, 2× IR cameras, 9× ToF cameras, 6× ultrasound, 4× microphones, 3× IMUs, torque sensors | 2× IMX296 global-shutter stereo cameras, Orbbec Gemini 336 RGB-D, Luxonis OAK ToF, RPLIDAR S2, 2× lavalier mics, wheel IMUs |
| Connectivity | Wi-Fi 2.4 GHz & 5 GHz | Ethernet, Wi-Fi (customer network for AI) |
| Ecosystem | Enchanted Tools Web API; Mirokaï simulator (pymirokai); ROS-based stack; Multi-LLM voice stack | ROS 2 Humble; Python SDK; Hugging Face LeRobot; Pollen-Vision perception library; VR teleoperation (Meta Quest 2/3); Docker simulation stack (Gazebo, MuJoCo) |
Green cells mark the stronger value in each row across 2 robots.

