Lot 57044976 · TN - KNOXVILLE

2016 MERCEDES-BENZ GLE GLE350

VIN 4JGDA5HB7GA777261

Current bid
$1,600
≈ €1,481

The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ GLE
  • Trim level GLE350
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition SALVAGE CERTIFICATE
  • VIN 4JGDA5HB7GA777261
  • Horsepower 302 к.с.
  • Engine ML350 4Matic ['12-'15], GLE350 4Matic ['16-'18] (3.5-liter M276 60° V6)
  • Exterior color white
  • Odometer 101,244 mi (162,936 km)
  • Listing valid until 2026-07-21 17:00
Notes
Този Mercedes-Benz GLE от 2016 г. е стилен и просторен SUV, готов за нов собственик. Има тежки щети по лявата предна врата. 🚗 2016 MERCEDES-BENZ GLE джип 📋 Основни характеристики: пробег: 162 936 км каросерия: джип цвят: бял ℹ️ Допълнителна информация: няма налична информация Богато оборудване: няма налична информация
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Damage assessment

Body zones

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

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The auction record lists the vehicle as having a SALVAGE CERTIFICATE, with SIDE identified as the primary damage. Stage 1 reports that the visible severe damage to the vehicle’s left side supports the SIDE primary-damage claim; however, the SALVAGE CERTIFICATE status cannot be confirmed from photos. The left front door is severely crushed, with extensive inward deformation across the middle and lower sections. The metal is torn and folded, and the area shows scraped paint, brown material transfer, and exposed damaged inner material near the lower front section. The left exterior side mirror assembly is missing, leaving internal components and wiring exposed at the mounting area. A detached mirror component is also shown with a fractured plastic housing, separated sections, exposed internal parts, and broken mounting areas. A thorough physical inspection is recommended to assess concealed damage and determine the parts and repairs required.

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