Hetzner vs Vultr Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Cost-Optimized
- Extremely cost-effective
- Low CPU usage
- Medium traffic applications
Regular Performance
- Inexpensive due to shared resources
- Low to medium CPU usage
- Medium traffic applications
General Purpose
- Dedicated vCPUs
- Constantly high CPU usage
- High-traffic applications
VX1™ Cloud Compute
- 2–192 vCPUs
- 8–768 GB Memory
- 5–10 TB Bandwidth
- Block Storage or NVMe SSD Storage options
- Up to 50 Gbps networking
- Dedicated CPU resources
- Instant provisioning in under 15 seconds
- 48% more energy efficient than Optimized Cloud Compute
- General Purpose and Memory Optimized configurations
- Billed on actual hours used (not capped at 672 hours)
Cloud Compute – Regular Performance
- 1–24 vCPUs
- 0.5–96 GB Memory
- 0.50–15 TB Bandwidth
- 10–1600 GB SSD Storage
- Powered by previous generation Intel CPUs and regular SSD
- IPv6 Only option available
Cloud Compute – High Performance
- 1–12 vCPUs
- 1–24 GB Memory
- 2–12 TB Bandwidth
- 25–500 GB NVMe SSD Storage
- Powered by new generations of AMD EPYC or Intel Xeon CPUs
- NVMe SSD storage
- AMD and Intel CPU options
Hetzner vs Vultr FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Neither has a free plan.
- How do they charge?
- Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
- Which one is a better deal?
- Depends on what you need. Hetzner: Hetzner is aggressively the budget option in European cloud infrastructure — they undercut AWS, GCP, and Azure significantly and compete directly with Scaleway and OVHcloud on price. They're winning teams who prioritize EUR-denominated, GDPR-friendly hosting without enterprise overhead. Vultr: Vultr positions as the scrappy, developer-friendly alternative to AWS/GCP/Azure — comparable to DigitalOcean and Linode/Akamai on price, but competing hard on global data center footprint and raw per-dollar compute value. They're not chasing enterprise logos; they're winning on price transparency and simplicity for technical buyers.
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