Barret Sniper Rifle 3D Model

Barret Sniper Rifle is available here as a downloadable 3D model.

Barret Sniper Rifle 3D Model main preview

Overview

Download the Barret Sniper Rifle 3D model—an accurate, game-ready and render-friendly asset designed for realistic military scenes, FPS/third-person projects, cinematics, and visualization. This 3D sniper rifle features detailed geometry and textures suitable for close-up views, with clean topology that works well for standard production pipelines.

Key features

  • High-quality Barret-style sniper rifle model for realistic renders and realtime use
  • Use in games, AR/VR, films, and product visualizations
  • Works with common 3D workflows across popular software
  • Includes files in multiple industry-standard formats for easy importing

Typical usage patterns

  • FPS / shooter games: first-person or third-person weapon prop, weapon customization, loadouts
  • Level design: placements in military maps, checkpoints, and outdoor combat environments
  • 3D animation: static or animated rifle shots, aiming sequences, weapon idle motions
  • Cinematic scenes: realistic weapon closeups, depth-of-field shots, product-style renders
  • Visualization & training: simulations, educational media, military-themed design mockups

File format support

  • Downloadable MAX
  • Downloadable OBJ
  • Downloadable FBX
  • Downloadable C4D
  • Downloadable BLEND

Compatible 3D software

  • Blender
  • 3ds Max
  • Maya
  • Cinema 4D
  • Unreal Engine
  • And other software that supports the listed formats

If you’re looking for a detailed Barret sniper rifle 3D model for your next project, this downloadable asset is a solid choice for both realtime and offline rendering workflows.

Uploaded by Scott A White on July 2003

Tags

  • barret
  • sniper
  • rifle
  • weapons
  • war
  • government
  • death

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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