Side-by-side comparison of MagicBot Z1 (Magiclab Robotics Technology (Wuxi) Co., Ltd.) and SoftBank Pepper (SoftBank Robotics) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.
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Manufacturer Country
SoftBank PepperUSYear First Available
SoftBank Pepper2014Verified Deployments
SoftBank Pepper0 DeploymentsBattery / Shift Runtime
SoftBank Pepper10 hrsAvailability Status
SoftBank PepperACTIVEHeight
SoftBank Pepper—Mobility Type
SoftBank Pepper—Humanoid Subtype
SoftBank Pepper—Terrain
SoftBank Pepper—Payload
SoftBank Pepper—Payload (Peak)
SoftBank Pepper—Total DOF
SoftBank Pepper—Arm DOF
SoftBank Pepper—Arm Reach
SoftBank Pepper—Onboard Compute
SoftBank Pepper—Compute Platform
SoftBank Pepper—VLM Capable
SoftBank Pepper—Imitation Learning
SoftBank Pepper—Teleoperation
SoftBank Pepper—Programming
SoftBank PepperChoregraphe, Python SDK, C++ SDK, Android SDKRuntime
SoftBank Pepper—Charging Method
SoftBank Pepper—Battery Swap
SoftBank Pepper—Fall Recovery
SoftBank Pepper—Human Detection Method
SoftBank Pepper—SDK Languages
SoftBank PepperChoregraphe, Python SDK, C++ SDK, Android SDKOpen API
SoftBank Pepper—Deployment Maturity
SoftBank Pepper—Price Tier
SoftBank Pepper40-80KApplications
SoftBank Pepperhospitality, education, research| MagicBot Z1humanoidMagiclab Robotics Technology (Wuxi) Co., Ltd. 22.3Trust Score | SoftBank PepperhumanoidSoftBank Robotics—Trust Score | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | CN | US |
| Year First Available (values differ) | — | 2014 |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Battery / Shift Runtime (values differ) | 2 hrs | 10 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Height (values differ) | 136.9 mm | — |
| Mobility Type (values differ) | bipedal | — |
| Humanoid Subtype (values differ) | full bipedal | — |
| Terrain (values differ) | flat_indoor | — |
| Payload & Dexterity | ||
| Payload (values differ) | 2 kg | — |
| Payload (Peak) (values differ) | 3 kg | — |
| Total DOF (values differ) | 24 | — |
| Arm DOF (values differ) | 5 | — |
| Arm Reach (values differ) | 50 cm | — |
| Compute & AI | ||
| Onboard Compute (values differ) | 8-core high-performance CPU | — |
| Compute Platform (values differ) | 8-core high-performance CPU | — |
| VLM Capable (values differ) | onboard small | — |
| Imitation Learning (values differ) | multi task | — |
| Teleoperation (values differ) | joystick | — |
| Programming (values differ) | code_python, teleoperation | Choregraphe, Python SDK, C++ SDK, Android SDK |
| Battery & Power | ||
| Runtime (values differ) | 2 hrs | — |
| Charging Method (values differ) | manual swap | — |
| Battery Swap (values differ) | Yes | — |
| Safety | ||
| Fall Recovery (values differ) | Yes | — |
| Human Detection Method (values differ) | multi modal | — |
| Software | ||
| SDK Languages (values differ) | code_python, teleoperation | Choregraphe, Python SDK, C++ SDK, Android SDK |
| Open API (values differ) | limited rest | — |
| Reliability | ||
| Deployment Maturity (values differ) | beta pilot | — |
| Commercial | ||
| Price Tier (values differ) | — | 40-80K |
| Applications (values differ) | research | hospitality, education, research |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Price Range (USD), Weight, Walking Speed, Running Capable, Stair Climbing, Hand DOF, Grip Strength, Manipulation Repeatability, Bimanual Coordination, Tool Use, Foundation Models, Battery Capacity, Charging Time, Avg Power Consumption, Force-Limited Arms, Fall Detection Response, Emergency Stops, Safe Speed Near Humans, ROS Support, Simulation Platforms, Air-Gap Capable, MTBF, Task Success Rate, IP Rating, Noise Level, Price (USD), RaaS / Month, Pricing Model, Developer Unit Price, Delivery Lead Time, Warranty, Production Pilots
MagicBot Z1 vs SoftBank Pepper compares two robots in the humanoid category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robolist Trust Score is calculated.