Lot 57296176 · PA - YORK HAVEN

2015 MERCEDES-BENZ GL GL450

VIN 4JGDF6EE1FA520908

Current bid
$725
≈ €671

The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ GL
  • Trim level GL450
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERTIFICATE OF TITLE
  • VIN 4JGDF6EE1FA520908
  • Drive type AWD/All-Wheel Drive
  • Exterior color dark blue
  • Odometer 155,938 mi (250,957 km)
  • Listing valid until 2026-07-23 17:00
Notes
Този Mercedes-Benz GL от 2015 г. е истински звяр, готов за нови приключения. Умерени щети по предното стъкло в горната част. 🚗 2015 MERCEDES-BENZ GL 📋 Основни характеристики: пробег в км: 250957 задвижване: 4x4 ℹ️ Допълнителна информация: каросерия: джип цвят: тъмносин
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The auction record lists the vehicle condition as “CERTIFICATE OF TITLE” and the primary damage as “NORMAL WEAR.” However, Stage 1 reports that the visible cracked windshield and interior upholstery damage do not support the “NORMAL WEAR” classification. Stage 1 also states that the certificate-of-title condition cannot be confirmed from exterior photographs. The windshield has multiple branching crack patterns across the upper left and upper central areas, including a concentrated radiating pattern near the upper left edge. Replacement and an inspection of any related damage are recommended. A narrow split or tear is visible on the front driver’s leather seat cushion near the front-to-rear seam. This is a minor cosmetic issue. According to the VIN decoding, this is a 2015 Mercedes-Benz GL-Class GL450 SUV with all-wheel drive, a 3.0-liter six-cylinder gasoline engine, and a GVWR in the 7,001–8,000 lb class. The vehicle was manufactured by Mercedes-Benz USA in Vance, Alabama. The decoded safety equipment includes front airbags, side airbags for the first, second, and third rows, seat-belt pretensioners, and direct tire-pressure monitoring.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.