Google Vertex AIPaid
Google Cloud's unified AI platform — access to Gemini and partner models, plus tools to build, deploy, and govern AI and agents.
AI Infrastructure comparison
Google Vertex AI vs LiteLLM
Pricing, pros, cons, and ideal use cases — side by side.
LiteLLMFreemium
An open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.
At a glance
| Google Vertex AI | LiteLLM | |
|---|---|---|
| Pricing | PaidUsage-based pricing across model and platform services, billed through Google Cloud. | FreemiumOpen-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already on Google CloudTeams wanting Gemini under enterprise governanceOrganizations consolidating the AI lifecycle on one platform | Teams using multiple model providersPlatform teams centralizing LLM access and spendEnterprises wanting provider portability |
Pros & cons
Google Vertex AI
Pros
- Gemini plus a broad Model Garden
- End-to-end build, deploy, evaluate, and govern
- Inside Google Cloud IAM and compliance
- Strong data and analytics integration
Cons
- Large, complex platform surface area
- Most valuable only if you are already on GCP
- Getting value requires real platform investment
LiteLLM
Pros
- One consistent API across 100+ providers
- Proxy adds key management, budgets, and spend logging
- Avoids provider lock-in
- Lightweight to adopt
Cons
- Self-hosting the proxy is your operational burden
- A gateway is one more hop to monitor
- Advanced governance features are in the paid edition
Which should you choose?
LiteLLM is the lighter-weight option (Freemium), while Google Vertex AI sits higher on the pricing ladder (Paid). Google Vertex AI is built around enterprises already on google cloud; LiteLLM leans more toward teams using multiple model providers. Shortlist the one whose strengths line up with your biggest constraint.