Lot 58211606 · IL - CHICAGO SOUTH

2016 MERCEDES-BENZ GLA GLA250-4M

VIN WDCTG4GB3GJ213725

Current bid
$4,700
≈ €4,352

The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ GLA
  • Trim level GLA250-4M
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERTIFICATE OF TITLE
  • VIN WDCTG4GB3GJ213725
  • Drive type AWD/All-Wheel Drive
  • Horsepower 208 к.с.
  • Engine GLA250 4Matic ['15-'20] (2.0-liter turbocharged GDI M270 I4)
  • Exterior color white
  • Odometer 123,246 mi (198,345 km)
  • Listing valid until 2026-07-24 04:00
Notes
Този Mercedes-Benz GLA от 2016 г. е стилен и практичен избор за всеки ден. Умерени щети по предната част. 🚗 2016 Mercedes-Benz GLA джип 📋 Основни характеристики: пробег в км: 198345 каросерия: джип цвят: бял
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 2016 Mercedes-Benz GLA. The auction record lists the condition as “Certificate of Title” and identifies “Front End” as the primary damage. However, Stage 1’s photo review found no clear visible front-end collision damage and concluded that this claim is not supported by the provided photos. The visible exterior damage consists of a broad, shallow dent with an irregular surface contour across the middle section of the front door outer panel. The dent is assessed as moderate collision damage. The interior shows several cosmetic issues. The driver’s seat has localized abrasion and surface wear on the outer lower/side bolster. The center armrest has a localized area of peeling with multiple visible cracks. Several light scuffs and small marks are also present on the center-console cover panels. A physical inspection is recommended to verify the condition of the front end and to check for any damage or mechanical issues not visible in the available images.

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