FlowisevsLiteLLM

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

Flowise

Automation Platforms

Drag-and-drop LLM flow builder

Full review →Website ↗

LiteLLM

LLM APIs & Inference

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

Full review →Website ↗
FeatureFlowiseLiteLLM
CategoryAutomation PlatformsLLM APIs & Inference
PricingFree (open-source) + CloudFree (open-source), hosted proxy available
GitHub Stars
✓ More stars
35k
16k
PlatformsmacOS, Linux, Windows, DockerLinux, macOS, Docker
Key Features
  • ✓ Visual flow builder
  • ✓ LangChain integration
  • ✓ Chatbot builder
  • ✓ Agent flows
  • ✓ API endpoints
  • ✓ Custom tools
  • ✓ 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
  • + No-code visual builder
  • + LangChain/LlamaIndex integration
  • + Easy deployment
  • + Good for prototyping
  • + Active community
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
Cons
  • − Limited for complex custom logic
  • − Can be buggy with some nodes
  • − Documentation gaps
  • − Less flexible than code
  • − Adds a proxy layer (slight latency)
  • − Complex config for advanced features
Tags
open-sourceno-codelangchainchatbotvisual
api-gatewaymulti-providerproxyopen-source

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