Peugeot 508 3D Model (2011)

Peugeot 508 sedan 3D model in a detailed, realistic design. This 3D vehicle model is ideal for product visualization, automotive presentations, and architectural or game scenes. Clean geometry and accurate proportions help deliver a true-to-life look of the Peugeot 508 in a modern sedan style.

Peugeot 508 (2011) 3D Model main preview

Overview

Download the Peugeot 508 Sedan Car 3D Model — a high-quality 3D representation of the popular sedan, ideal for architectural visualization, automotive visualization, game development, product mockups, and digital content creation. This model is perfect for use in scenes that require realistic vehicle shapes, clean geometry, and a professional automotive look.

Usage patterns:

  • Automotive & product visualization: showcase the vehicle in studio renders, presentations, and marketing mockups.
  • 3D advertising & branding: create promotional scenes for websites, social media, and campaign assets.
  • Game & real-time projects: use the model in interactive environments and driving/vehicle gameplay scenes.
  • Architectural and environment scenes: place the car in streets, parking lots, garages, and outdoor settings.
  • Animation: build cinematic shots, camera fly-throughs, and car-focused visual storytelling.
  • Training & education: use the vehicle model for demonstrations, design references, or simulation prototypes.

File formats & downloads:

  • MAX (3ds Max)
  • OBJ
  • FBX
  • C4D (Cinema 4D)
  • BLEND (Blender)

Compatible 3D software: Works with Blender, 3ds Max, Maya, Cinema 4D, Unreal Engine, and other 3D tools that support the listed formats.

Get the Peugeot 508 Sedan 3D Model and quickly integrate it into your workflow—whether you’re rendering high-quality still images or building real-time scenes.

Uploaded by James Anderson on June 2014

License

  • Royalty-Free License.
  • Commercial and editorial use according to site license terms.
  • Redistribution of source files is not allowed.
  • Please review the full license details before using the model in published work.

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