Loading...
Loading...
In-depth comparison of specs, performance, and user sentiment.
Last updated: March 28, 2026
The Varjo XR-4 wins overall with a VR Eddie Rating of 75, compared to Arpara 5K's 70.
Varjo XR-4 is a cutting-edge enterprise MR headset with photorealistic passthrough. Expensive at $3990 but beloved by architects, designers, and medical professionals for its visual fidelity and tracking.
Great
Arpara 5K is a niche PCVR headset praised for its micro-OLED display and high resolution. At $499, it offers excellent visual quality for enthusiasts who prioritize display fidelity over brand recognition.
View on AmazonGreat
Varjo XR-4 is a cutting-edge enterprise MR headset with photorealistic passthrough. Expensive at $3990 but beloved by architects, designers, and medical professionals for its visual fidelity and tracking.
View on Amazon| VR Eddie Rating | 70 | 75 |
| Price | $499 | $3990 |
| Resolution | 2560×2560 per eye | 2880×2720 per eye |
| Refresh Rate | 90 Hz | 90 Hz |
| Field of View | 100° horizontal | 115° horizontal |
| Weight | 600g | 750g |
| Display Type | Micro-OLED | Micro-OLED |
| Tracking | Inside-out hand + controller tracking | Inside-out tracking with spatial mapping |
| Processor | PC GPU-dependent | PC GPU-dependent |
Arpara 5K
Winner
Varjo XR-4
Arpara 5K
Varjo XR-4
Winner
Arpara 5K
Varjo XR-4
Winner
The Arpara 5K at $499 offers better value for newcomers.
The Arpara 5K focuses on Exceptional micro-OLED display quality at $499. 2560×2560 per eye delivers, while the Varjo XR-4 excels at Top-tier mixed reality for enterprise and professional use. Photorealistic passthrough.
Yes, both support PC VR.
2560×2560 per eye (Arpara 5K) vs 2880×2720 per eye (Varjo XR-4) — check the specs comparison above.
VR Eddie earns commission from qualifying purchases through affiliate links. This does not affect our ratings, which are based entirely on aggregated community sentiment and expert evaluation. Prices and availability may vary. As an Amazon Associate, we earn from qualifying purchases. Read our methodology