Apigee AI Gateway vs LiteLLM (2026)
Updated March 10, 2026
Overview
Google Cloud's Apigee includes AI gateway capabilities for managing and securing generative AI API traffic, with model routing, token-based rate limiting, content moderation, and comprehensive analytics.
LiteLLM is an open-source LLM gateway and Python SDK from BerriAI that puts 140+ providers behind one OpenAI-compatible API you host yourself.
Key features
Core capabilities each platform advertises.
- Google Cloud AI traffic management
- API analytics and monitoring
- Security and threat protection
- Rate limiting and quotas
- Multi-cloud support
- OpenAI-compatible proxy for 140+ providers
- Virtual keys scoped to users and teams
- Budgets, rate limits, and spend tracking
- Fallbacks, retries, and load balancing
- Guardrails for PII masking and prompt injection
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Production-ready
- Good performance
- Active development
Cons
- Pricing varies
- Setup required
Pros
- MIT-licensed proxy, free at any volume
- 140+ providers behind one OpenAI-compatible API
- Virtual keys and budgets per user and team
- Runs inside your own infrastructure
Cons
- You run, scale, and secure the proxy yourself
- Two PyPI releases were compromised in a March 2026 supply chain attack
- SSO, RBAC, and audit logs require the Enterprise license
- Tracing and evals depend on separate tools
Apigee AI or LiteLLM — which should you choose?
Choose Apigee AI if you wantChoose if you want
- Managing AI APIs on Google Cloud
- Enterprise API security for AI endpoints
- Usage metering and billing for AI services
- Multi-cloud AI API management
- Compliance and governance for AI traffic
Choose LiteLLM if you wantChoose if you want
- Self-hosted LLM gateway for data control
- Standardizing LLM access across teams
- Budget enforcement per team or project
- Switching providers without code changes
- Issuing scoped API keys to internal users
Compare Apigee AI Gateway and LiteLLM on your own traffic
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