LangChain vs LiteLLM
Detailed comparison to help you choose the right AI tool. Compare features, pricing, pros & cons, and user ratings.
LangChain
The Agent Engineering Platform for Building Reliable AI Applications
LiteLLM
Unified AI Gateway To Call 100+ LLMs In One Format
Quick Verdict
Side-by-Side Comparison
LangChain
Pros
- Massive Integration Ecosystem
- Production-Grade Agent Observability
- Model-Agnostic Provider Swapping
- Active Open-Source Community
Cons
- Steep Abstraction Learning Curve
- Documentation Can Feel Overwhelming
- Trace Costs Scale Quickly
LiteLLM
Pros
- 40K+ GitHub Stars Traction
- Zero Vendor Lock-In
- Sub-10ms Gateway Latency
- Self-Hosted Data Privacy
Cons
- Enterprise Pricing Opaque
- Proxy Config Complexity
- No Native GUI Setup
Features Comparison
LangChain Features
- Open-Source Framework for Building Deploying and Monitoring AI Agents
- 1000+ Integrations for LLMs Tools and Databases with No Vendor Lock-In
- LangSmith Observability Platform with Real-Time Tracing and Debugging
- LangGraph Durable Runtime with Persistence Checkpointing and Rewind Support
- Built-In Human-in-the-Loop Approval and Composable Middleware Hooks
- Automated Evaluation System with LLM-as-Judge and Human Feedback Scoring
- Native A2A and MCP Protocol Support for Multi-Agent Communication
- Framework-Agnostic SDKs for Python TypeScript Go and Java Development
LiteLLM Features
- Unified AI gateway to call 100+ LLMs using a single OpenAI-compatible interface
- Drop-in OpenAI format compatibility — swap providers without rewriting code
- Built-in load balancing with automatic retry and fallback logic across deployments
- Virtual keys with per-user, per-project spend tracking and budget controls
- Native MCP server and A2A agent protocol support for modern AI workflows
- Real-time observability with Langfuse, LangSmith, MLflow, and Helicone integrations
- Self-hosted proxy server with admin dashboard, SSO, and enterprise-grade security
- Ultra-low 8ms P95 latency at 1,000 requests per second for production-grade performance
Best Use Cases
LangChain is best for:
LiteLLM is best for:
Frequently Asked Questions
What is the difference between LangChain and LiteLLM?
LangChain is the agent engineering platform for building reliable ai applications, while LiteLLM is unified ai gateway to call 100+ llms in one format. LangChain has 8 features and a N/A rating, compared to LiteLLM's 8 features and 0.0 rating.
Which is better: LangChain or LiteLLM?
Both LangChain and LiteLLM are equally rated by users. The best choice depends on your specific needs. LangChain offers freemium pricing, while LiteLLM offers contact pricing.
Is LangChain free to use?
LangChain has freemium pricing (From $39/seat/mo). It requires a paid subscription to access.
Is LiteLLM free to use?
LiteLLM has contact pricing (Contact sales). It requires a paid subscription to access.
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