Lot 57434876 · RI - EXETER

2015 MERCEDES-BENZ ML ML350

VIN 4JGDA5HB6FA512524

Price
€12,300

The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ ML
  • Trim level ML350
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERTIFICATE OF TITLE
  • VIN 4JGDA5HB6FA512524
  • Engine ML350 4Matic ['12-'15], GLE350 4Matic ['16-'18] (3.5-liter M276 60° V6)
  • Exterior color silver
  • Odometer 177,521 mi (285,692 km)
  • Listing valid until 2026-09-15 17:00
Notes
Този Mercedes-Benz ML от 2015 г. е готов да ви отведе навсякъде със своя надежден двигател и просторен интериор. Умерени щети по лявата задна врата. 🚗 2015 Mercedes-Benz ML джип 📋 Основни характеристики: пробег в км: 285692 каросерия: джип ℹ️ Допълнителна информация: цвят: сребрист
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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.” Stage 1 reports that the certificate-of-title status cannot be verified from the photos and that the visible dent and crease on the left rear door do not support a “Normal Wear”-only primary-damage classification. The visible exterior damage includes a moderate dent and horizontal crease across the outer panel of the left rear door. A small dark paint chip or scuff is also present on the left side of the front bumper, below and near the grille. Inside the cabin, the leather on the outer bolster of the left front seat shows minor abrasion, creasing, and cracking. VIN decoding identifies this vehicle as a 2015 Mercedes-Benz ML-Class ML350 SUV, manufactured in the United States by Mercedes-Benz USA. It is equipped with a 3.5-liter six-cylinder gasoline engine. The decoded information also lists front and side airbag locations for the first and second rows, manual seat belts with pretensioners and load limiters on the outboard positions, and direct tire-pressure monitoring. Drive type and transmission details were not provided by the decoder.

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