PrivateGPTvsLiteLLM

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

PrivateGPT

Local AI Infrastructure

Interact with your documents privately using LLMs

Full review →Website ↗

LiteLLM

LLM APIs & Inference

Unified API proxy for 100+ LLM providers — one interface, any model

Full review →Website ↗
FeaturePrivateGPTLiteLLM
CategoryLocal AI InfrastructureLLM APIs & Inference
PricingFree (open-source)Free (open-source), hosted proxy available
GitHub Stars
✓ More stars
55k
16k
PlatformsLinux, macOS, WindowsLinux, macOS, Docker
Key Features
  • ✓ Document Q&A
  • ✓ 100% private
  • ✓ Local inference
  • ✓ RAG
  • ✓ Multi-format
  • ✓ Unified API for 100+ LLM providers
  • ✓ Load balancing across multiple API keys/providers
  • ✓ Automatic fallbacks when providers fail
  • ✓ Spend tracking and budget alerts per team/project
  • ✓ Rate limiting and retry logic built-in
  • ✓ OpenAI SDK compatible — zero code changes
  • ✓ Self-hostable proxy server
  • ✓ Supports streaming, function calling, vision
Pros
  • + 100% private and local
  • + No data leaves your machine
  • + Multiple document formats
  • + Good accuracy with RAG
  • + Easy Docker setup
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
Cons
  • − Requires powerful hardware
  • − Slower than cloud solutions
  • − Limited model choices
  • − UI is basic
  • − Adds a proxy layer (slight latency)
  • − Complex config for advanced features
Tags
privacyragdocumentsopen-source
api-gatewaymulti-providerproxyopen-source

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