LingLong LLA38 445/65R22.5 166K Commercial Tires
⚡ Price Comparison Summary:
Weekly updated prices from top retailers, the best available price for the LingLong LLA38 445/65R22.5 166K Commercial Tires is $581.99 at SimpleTire. You can also check Amazon for alternative deals and availability.$562.99
Introducing the LingLong LLA38, a premier commercial tire meticulously engineered to tackle the most rigorous demands of the transportation industry. This exceptional tire is specifically designed for versatile applications, excelling as an all-position or steer tire on heavy-duty trucks, making it an ideal choice for both long-haul operations and regional delivery fleets seeking unwavering reliability and consistent performance.
Command the road with the LLA38’s advanced tread design and robust compound, which together deliver outstanding traction and responsiveness in diverse conditions. Drivers will appreciate its exceptional wet and dry grip, paired with superior handling characteristics that ensure precise steering and remarkable cornering stability, instilling confidence across varying highway and city environments.
The LingLong LLA38 is built for endurance, featuring a durable construction that significantly extends tread life and resists the challenges of irregular wear. Its optimized design not only promises impressive mileage but also ensures reliable, consistent performance throughout all seasons, making it a steadfast component of any commercial fleet, year after year.
Beyond its strength, the LLA38 enhances driver comfort by delivering a surprisingly smooth ride and effectively reducing road noise for a quieter, more pleasant journey.
Key Features & Specifications
- Load Index: 166
- Speed Rating: K (68 mph)
- Season Type: All-Season
- Tread Pattern: Optimized Rib Design
- Tire Size: 445/65R22.5
Elevate your fleet’s efficiency and reliability by choosing the LingLong LLA38 for your commercial tire needs today.
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.


