The deciding difference is operational: vLLM can run on infrastructure you control, Google Gemini cannot. If that constraint is real for you, it settles the choice before anything else is considered.
Gemini models with very long context and native multimodality.
High-throughput open-weight serving on your own GPUs.
| Google Gemini | vLLM | |
|---|---|---|
| Licence | Proprietary | Open source |
| Pricing | freemium | open source |
| Self-hostable | No | Yes |
| Languages | TypeScript, Python | Python |
| Install | npm install @google/genai | pip install vllm |
| Keys required | GOOGLE_API_KEY | None |
The deciding difference is operational: vLLM can run on infrastructure you control, Google Gemini cannot. If that constraint is real for you, it settles the choice before anything else is considered. Google Gemini: Gemini models with very long context and native multimodality. vLLM: High-throughput open-weight serving on your own GPUs.
Google Gemini is a hosted service only. vLLM can run on your own infrastructure.
Google Gemini is proprietary (freemium). vLLM is open source (open source).
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/google-gemini-vs-vllm