TIRE SIZE MATTERS EXCLUSIVE: GET 10% OFF SELECT BRANDS! USE CODE: TSM10
CLAIM DEAL NOW ➔

Alliance (328) Flotation Bias 48/31.0020 150A8 OTR Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Alliance (328) Flotation Bias 48/31.0020 150A8 OTR Tires is $2,236.99 at SimpleTire. You can also check Amazon for alternative deals and availability.

$2,236.99

Fast & FREE Delivery Direct to your door or to 10,000+ local installers.

Compare Best Prices

SimpleTire
$2,236.99
Amazon
$ ???
SKU: 32881107 Category: Brand:

Conquer the toughest off-road challenges with the Alliance (328) Flotation Bias tire, designed specifically for heavy-duty OTR (Off-The-Road) applications. This robust tire excels in demanding environments like agriculture, forestry, and construction, providing superior flotation and traction where standard tires struggle.

Engineered for exceptional performance, the 328 Flotation Bias delivers reliable grip across varied terrain, from soft soil to uneven ground. Its specialized bias ply construction ensures excellent stability and handling, allowing equipment operators confident control even with heavy loads and in challenging conditions.

Durability is paramount with the Alliance 328, featuring a resilient compound and deep tread that resist cuts, chips, and abrasions for extended service life. This all-season capable tire maintains consistent performance throughout the year, adapting to diverse operational needs.

While optimized for rugged performance, this tire provides a stable platform for a confident operational experience.

Key Features & Specifications

  • Load Index: 150 (3640 lbs)
  • Speed Rating: A8 (25 mph)
  • Season: All-Season
  • Tread Pattern: Aggressive Flotation
  • Construction Type: Bias Ply

Equip your machinery with the Alliance (328) Flotation Bias for unmatched performance and reliability in extreme off-road conditions.

✍️ Tire Size Matters Editorial Team
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.