R-Kay Performance
BRAND NEW 2026 TALARIA KOMODO 32KW
BRAND NEW 2026 TALARIA KOMODO 32KW
Couldn't load pickup availability
Off-road use only. The bikes sold by R-Kay Performance on this page are not road-legal and must not be used on public roads. They are not registered for road use, do not have number plates, and are not fitted with the equipment required for use on the highway. These products are intended for off-road leisure and competition use only.
Insurance and liability. These vehicles are not road-legal and standard motor insurance will not apply to on-road use. You should consider specialist off-road or public liability insurance appropriate to how and where the bike will be used. Using the vehicle without suitable cover, or using it on a public road, may result in criminal liability and leave you responsible for injury or damage
Deposit ONLY
*Deposit is non-refundable (including cancellation of order and being declined on finance). Holding deposit will be taken from the value of the bike on purchase.
KOMODO
The Talaria Komodo is a high-performance electric dirt bike built for riders who crave power, agility, and endurance. Packing a peak 32kW motor that delivers blistering acceleration and up to 754Nm of torque, it sprints from 0-60 mph in just 4.5 seconds. Its 97.2V 45Ah lithium-ion battery offers up to 70 miles of range, while advanced suspension, lightweight forged alloy frame, and off-road-ready 21inch/18inch wheels ensure exceptional control on any terrain. With multiple ride modes, regenerative braking, and a premium TFT display, the Komodo blends cutting-edge technology with rugged capability -- ready to dominate trails or the track.
1.9s 0-50km/h
105km Top Speed
754N.m Peak Torque
32KW Peak Power
36high-power imported MOS
The 140V platform enables the controller to sustain high power output, resulting in more powerful performance
+
M4 core microprocessors
The main controller chip, compared to standard MO core microprocessors, has stronger computing power and richer peripheral resources, supporting more advanced motor control algorithms
Share
