Question 1

Is LiteLLM better than n8n?

Accepted Answer

It depends on your use case. LiteLLM is known for Unified API proxy for 100+ LLM providers — one interface, any model, while n8n Open-source workflow automation with built-in AI capabilities. See our full comparison above for a detailed breakdown.

Question 2

Is LiteLLM free?

Accepted Answer

LiteLLM pricing: Free (open-source), hosted proxy available.

Question 3

Is n8n free?

Accepted Answer

n8n pricing: Free (self-hosted), cloud from $20/mo.

Question 4

What are the main differences between LiteLLM and n8n?

Accepted Answer

LiteLLM and n8n differ in features, pricing, and platform support. LiteLLM: Unified API proxy for 100+ LLM providers — one interface, any model. n8n: Open-source workflow automation with built-in AI capabilities. See the full side-by-side comparison above for details.

Feature	LiteLLM	n8n
Category	LLM APIs & Inference	Automation Platforms
Pricing	Free (open-source), hosted proxy available	Free (self-hosted), cloud from $20/mo
GitHub Stars	16k	✓ More stars 52k
Platforms	Linux, macOS, Docker	macOS, Linux, Windows, Docker
Key Features	✓ 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	✓ 400+ integrations (APIs, databases, SaaS) ✓ Native AI nodes (LLM, vector store, RAG chains) ✓ Visual drag-and-drop workflow builder ✓ Self-hostable via Docker (full data control) ✓ Webhook triggers, cron schedules, event-driven ✓ JavaScript/Python code nodes for custom logic ✓ Credential management and encryption ✓ Active community (52K+ GitHub stars)
Pros	+ One API for 100+ providers + Built-in load balancing and fallbacks + Spend tracking and rate limiting + OpenAI SDK compatible	+ Self-hostable (full data control) + 400+ integrations + Visual workflow builder + Native AI/LLM nodes + Active community
Cons	− Adds a proxy layer (slight latency) − Complex config for advanced features	− Resource-heavy for self-hosting − Learning curve for complex workflows
Tags	api-gatewaymulti-providerproxyopen-source	automationworkflowno-codeself-hostedintegrations

LiteLLMvsn8n

LiteLLM

n8n

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