ROX JISHI 01 6-Seat SUV

Amid increasingly fierce competition in the mid-to-large SUV market, extended-range electric vehicles (EREVs) have gained strong popularity among consumers due to their flexible dual-mode capability combining fuel and electric power. Launched in August 2024 by ROX Jishi, the 2024 Jishi 01 lineup includes four variants, offering two seating configurations (All-Round 7-seater and Premium 6-seater) and two powertrain options (Standard Range and Long Range). With an official guide price ranging from USD 42,240 to USD 50,690, the model effectively meets diverse needs such as family travel and outdoor adventures, positioning itself as a versatile standout in its segment.

As an authorized dealer of Jishi, we remain unaffected by the new regulations. If you have urgent needs, there's no requirement to wait 180 days-we can arrange immediate shipment.

The 6-seat version of the ROX Jishi 01 adopts a classic boxy body design. With spacious dimensions of 5050 mm (5295 mm including the spare tire) × 1980 mm × 1869 mm and an extra-long wheelbase of 3010 mm, it not only exudes a rugged off-road presence but also provides a solid foundation for interior space.

The front end offers strong visual recognition: the high-set hood features sharp lines, and the "Ge"-shaped full LED headlights on both sides, accented with black outlines, are as delicate as three-dimensional geometric axes. The closed front grille is paired with horizontal hollowed-out elements and a silver brand logo, while the rectangular air intake below enhances its off-road character.

The rear end continues the boxy aesthetic, with the black rear window creating a strong contrast with the body color. The "Ge"-shaped taillights echo the headlights, offering outstanding recognizability when illuminated at night. The external spare tire and rugged rear bumper further emphasize its tough nature, and the addition of a roof-mounted LiDAR highlights its advanced intelligent-driving capabilities. Overall, the design strikes a balance between power and refinement