Langfuse vs LiteLLM comparison
Compare Langfuse 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.
Open-source LLM observability platform
An open-source LLM observability platform offering tracing, evaluation, prompt management, and cost tracking for LLM applications. It integrates with OpenTelemetry, LangChain, the OpenAI SDK, LiteLLM, and more to monitor production AI apps.
Edge vs. similar tools: Its strength is the ability to self-host the MIT-licensed core, running tracing, evaluation, and prompt management without your data ever leaving your environment.
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
- from $29/mo
- Plans
- 3
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
Langfuse vs LiteLLM: which should you choose?
- Langfuse and LiteLLM can be started for free, so you can see the results first without signing up.
- The overall AI Score is higher for LiteLLM (Langfuse 85 vs LiteLLM 88). If you prioritize output quality, LiteLLM is ahead.