· Model provider/ Head to head

Google Vertex AI vs vLLM

The deciding difference is operational: vLLM can run on infrastructure you control, Google Vertex AI cannot. If that constraint is real for you, it settles the choice before anything else is considered.

Google Vertex AI

Claude and Gemini under GCP billing, IAM and regional controls.

Proprietary · usage based · hosted service only · SDKs for TypeScript and Python

vLLM

High-throughput open-weight serving on your own GPUs.

Open source · can be self-hosted · SDKs for Python

· Side by side/ 6 of 6 differ
Google Vertex AIvLLM
LicenceProprietaryOpen source
Pricingusage basedopen source
Self-hostableNoYes
LanguagesTypeScript, PythonPython
Installpip install vllm
Keys requiredGOOGLE_CLOUD_PROJECT, GOOGLE_APPLICATION_CREDENTIALSNone
· Common questions/ FAQ

What is the difference between Google Vertex AI and vLLM?

The deciding difference is operational: vLLM can run on infrastructure you control, Google Vertex AI cannot. If that constraint is real for you, it settles the choice before anything else is considered. Google Vertex AI: Claude and Gemini under GCP billing, IAM and regional controls. vLLM: High-throughput open-weight serving on your own GPUs.

Can Google Vertex AI and vLLM be self-hosted?

Google Vertex AI is a hosted service only. vLLM can run on your own infrastructure.

Are Google Vertex AI and vLLM open source?

Google Vertex AI is proprietary (usage based). vLLM is open source (open source).

Build a stack with Google Vertex AIAll model provider options
· For agents/ This page, machine-readable

Every page here answers to Accept: text/markdown and returns the same content at roughly a tenth the tokens. No separate site, no toggle — same URL.

curl -s -H "Accept: text/markdown" https://newagent.build/compare/vertex-vs-vllm