Side-by-Side Comparison · 2026

LangChain vs LiteLLM: Full Comparison (2026)

LangChain is the framework for building llm-powered applications. LiteLLM is open-source python library to call 100+ llms with one unified openai-format interface. Use the breakdown below to find the right fit for your needs.

LangChain

LangChain

Free
vs

LiteLLM

BerriAI

Free
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.

Side-by-Side Overview

Pricing Model
LangChain: FreeLiteLLM: Free
API Access
LangChain: AvailableLiteLLM: Available
Platforms
LangChain: Python, JavaScript/TypeScript, LangGraph Platform (deployment), LangSmith (observability)LiteLLM: Python library, Docker (LiteLLM Proxy), Self-hosted server
Integrations
LangChain: 8 integrationsLiteLLM: 7 integrations
Vendor
LangChain: LangChainLiteLLM: BerriAI
Category
LangChain: FrameworksLiteLLM: Frameworks
Launch
LangChain: Oct 2022LiteLLM: 2023
Models
LangChain: Any LLM (OpenAI, Anthropic, Google, Mistral, Llama, Cohere - 60+ providers)LiteLLM: Any (OpenAI, Anthropic, Google, Azure, Bedrock, Cohere, Hugging Face, Ollama, 100+ providers)

About LangChain

LangChain provides abstractions for chaining LLM calls, integrating tools and memory, building agents, and connecting to data sources. Available in Python and JavaScript.

Designed For

  • RAG applications
  • AI agents
  • Document Q&A
  • Chatbots
Full LangChain details

About LiteLLM

LiteLLM is an open-source Python library and proxy server that provides a unified interface to call 100+ large language models using the OpenAI format. It handles provider-specific parameter translation, streaming, token counting, budget management, fallbacks, and load balancing. LiteLLM Proxy runs as a standalone gateway that can be self-hosted, adding observability and cost controls to any LLM backend.

Designed For

  • Unified LLM API abstraction
  • Self-hosted LLM gateway
  • Cost and budget management
  • Multi-provider fallbacks
Full LiteLLM details

Strengths & Limitations

LangChain

Strengths

  • Large ecosystem
  • Many integrations
  • Active community

Limitations

  • Steep learning curve
  • Over-abstracted
  • Rapid API changes

LiteLLM

Strengths

  • 100+ providers unified
  • OpenAI SDK drop-in replacement
  • Self-hostable proxy
  • Budget limits and alerting
  • Detailed logging/observability
  • MIT license

Limitations

  • Adds complexity for simple use cases
  • Proxy setup requires DevOps
  • Some model-specific features not abstracted

Frequently Asked Questions

What is the difference between LangChain and LiteLLM?

LangChain is the framework for building llm-powered applications, while LiteLLM is open-source python library to call 100+ llms with one unified openai-format interface. LangChain is designed for LLM app developers, RAG system builders; LiteLLM is designed for ML engineers standardizing LLM access, Platform teams building AI gateways. The right fit depends on your specific requirements.

How do the pricing models compare?

LangChain is available under a Free model. LiteLLM is available under a Free model. LangChain's entry tier starts at Free. LiteLLM's entry tier starts at $0. Always verify pricing on each vendor's official website as it may change.

What integrations does each tool support?

LangChain integrates with All major LLMs, Pinecone, Weaviate, Chroma. LiteLLM integrates with LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK. Check each vendor's documentation for the full and current list.

How do I choose between LangChain and LiteLLM?

Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.