Hankook Mirae Technology Hankook Mirae Technology Method-2vsTesla Optimus Gen 2
Side-by-side comparison of Hankook Mirae Technology Hankook Mirae Technology Method-2 and Tesla Optimus Gen 2: specs, price, use cases and SDKs.

Hankook Mirae Technology Method-2
A 13-foot manned bipedal robot designed for extreme hazardous environments.

Optimus Gen 2
General-purpose humanoid from Tesla
Specifications
| Spec | Hankook Mirae Technology Method-2 | Optimus Gen 2 |
|---|---|---|
| Price (USD) | $8,300,000 | $30,000 |
| Category | humanoid | humanoid |
| Payload | null kg | — |
| Runtime | null h | 8 h |
| Speed | null m/s | 2.5 m/s |
| Weight | 1360.78 kg | 57 kg |
| Degrees of Freedom | null | 28 |
- Hazardous environment operations
- Disaster relief
- Military operations
- Nuclear waste cleanup
- Factory automation
- Home assistance
- Logistics
When to pick which
Choose the Method-2 for high-stakes industrial operations in extreme environments where physical presence and brute force are non-negotiable. It is specifically suited for nuclear waste cleanup or disaster relief zones where a human operator must safely navigate hazardous terrain within a protected cockpit. Its 1360kg mass and 13-foot stature provide the structural integrity required for heavy lifting and debris removal that lightweight humanoids cannot match. Large-scale government or defense contractors should prioritize this platform for specialized, low-volume deployments where the primary constraint is the physical survival of the operator in life-threatening conditions.
Select the Tesla Optimus Gen 2 for high-volume commercial deployments in factory automation or logistics centers. At a $30,000 price point, it is designed for fleet-scale integration where ROI depends on augmenting human labor in repetitive tasks like parts sorting or line replenishment. Its 57kg weight and 8-hour runtime make it safe and efficient for indoor environments alongside human workers. Software developers and systems integrators will benefit from the Python SDK and Tesla Bot API, allowing for rapid customization of workflows in dynamic warehouse settings where agility and cost-per-unit are the driving constraints.
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