Lot 85453245 · DC - WASHINGTON DC

2014 MERCEDES-BENZ GL GL450 4MATIC

VIN 4JGDF7CE8EA289772

Price
Contact for pricing

The vehicle

  • Year 2014
  • Make / model MERCEDES-BENZ GL
  • Trim level GL450 4MATIC
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERTIFICATE OF TITLE
  • VIN 4JGDF7CE8EA289772
  • Drive type AWD/All-Wheel Drive
  • Engine GL450 ['13-'14] (4.7-liter twin turbo M278 GDI V8)
  • Exterior color black
  • Odometer 133,900 mi (215,491 km)
  • Listing valid until 2026-08-07 17:00
Notes
Този Mercedes-Benz GL от 2014 г. е готов за нов собственик. Умерени щети по лявата задна врата и калник. 🚗 2014 MERCEDES-BENZ GL 📋 Основни характеристики: пробег: 215 491 км каросерия: джип цвят: черен
Make an offer or ask a question

Log in to make an offer or ask a question about this car. Log in

Damage assessment

Body zones

AI-detected zones are pre-marked below — click a zone to adjust its severity.

Top
Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is a 2014 Mercedes-Benz GL. The auction record lists the condition as “Certificate of Title” and the primary damage as “Mechanical.” The “Certificate of Title” condition cannot be verified from the available photos. The “Mechanical” damage classification also cannot be confirmed visually and requires a physical inspection. The photos show localized exterior damage to the vehicle’s left side. The left rear door outer panel has a broad, moderate inward dent with visible creasing and irregular distortion through the central and lower sections. The left rear quarter panel, near the fuel-filler door and rear wheel arch, also shows localized moderate panel distortion with light contrasting surface marks extending below and behind the fuel-filler door toward the wheel arch. A thorough inspection should verify the condition of the mechanical systems, as well as the left rear door and quarter-panel structure and operation of any adjacent components.

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