LangGraph vs LiteLLM comparison
Compare LangGraph and LiteLLM in Developer / Infra item by item — price, plans, specs, Korean support, and commercial-use availability. In the table below, use Show differences only to filter to just the differing rows.
Stateful AI agent orchestration
An open-source orchestration framework for designing and deploying long-running, stateful AI agents as graph structures. With state persistence, human-in-the-loop, and short- and long-term memory, it controls complex multi-step agent workflows.
Edge vs. similar tools: Its advantage is graph-based state persistence that enables pause-and-resume, rollback, and audit trails, making it strong for production agents.
A self-hosted open-source LLM gateway
An open-source Python SDK and self-hostable AI gateway (proxy) that calls 100+ LLM providers in OpenAI-compatible format. It handles cost tracking, load balancing, fallbacks, guardrails, and virtual key provisioning all in one place.
Edge vs. similar tools: Its strength is the MIT-licensed core you can self-host, running virtual keys, budgets, and cost tracking without ever sending data outside your environment.
Item-by-item comparison
Pricing
- Free plan
- Yes
- Cheapest paid
- Free
- Plans
- 2
Cross-cutting
- Korean
- Not supported
- API
- Yes
- Commercial use
- Allowed
Pricing
- Free plan
- Yes
- Cheapest paid
- Free
- Plans
- 2
Cross-cutting
- Korean
- Not supported
- API
- Yes
- Commercial use
- Allowed
LangGraph vs LiteLLM: which should you choose?
- LangGraph and LiteLLM can be started for free, so you can see the results first without signing up.
- The overall AI Score is higher for LangGraph (LangGraph 89 vs LiteLLM 88). If you prioritize output quality, LangGraph is ahead.