The standing depends on who is buying. Every model is asked the same questions for each company size.
Proxmox VE is first at 74%.
Proxmox VE is first at 44%. 1 of 14 models made it the first choice when asked directly.
Nutanix AHV is first at 43%.
“If I had to choose a default for a Windows-heavy company already invested in Microsoft, I'd start with Hyper‑V on Windows Server 2025.”GPT-6 Luna · Direct question · first choice
“Best Windows-centered option: Hyper-V integrates natively with Windows Server, Active Directory, and existing Microsoft tooling”Muse Glimmer 30B · Scale-constrained question · alternative
“If you already run Windows Server and are comfortable with Windows administration, Hyper-V avoids additional hypervisor licensing.”Muse Glimmer 30B · Budget-constrained question · alternative
“Consider Hyper-V instead if your IT team already manages Windows Server and you have suitable Microsoft licensing.”GPT-6 Luna · Budget-constrained question · alternative
“Hyper-V is tightly coupled to the OS, so host EOL affects virtualization.<br>- Feature gaps compared to modern hypervisors”Grok 4.20 · Negative question · warning
“industry-standard hypervisors like KVM (Linux) or Hyper-V are safe, but they are not immune”GLM 4.7 FlashX · Negative question · warning
The products named in the same answers as Hyper-V, over the 42 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 41 | 14 | Compare → | |
| 34 | 3 | Compare → | |
| 26 | 4 | Compare → | |
| 16 | 0 | View → | |
| 12 | 0 | Compare → | |
| 8 | 0 | View → | |
| 7 | 0 | View → | |
| 6 | 0 | View → | |
| 6 | 0 | View → | |
| 6 | 0 | View → |
What the models named instead of Hyper-V →
A side-by-side page exists where both products are among a category's top eight.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 35 of the 42 answers that named Hyper-V and are not a share of its labels.
No domain is on file for Hyper-V, so its own site is not marked.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |