Dify vs LangChain
Detailed comparison between Dify and LangChain. Which one to choose for your project?
D
Dify
4.6/5 · 52
L
LangChain
4.7/5 · 38
Our verdict is revealed after the rounds. Scroll for the analysis →
Head to Head
Dify
The open-source platform to build LLM apps and AI agents without coding the orchestration
4.6/5 (52 reviews)
Price
Free plan available Key features
- Build Chatbot, Agent, Chatflow and Workflow without coding the orchestration
- Built-in document ingestion and vector search to ground answers
- OpenAI, Anthropic, Azure, Llama, Hugging Face, Replicate and local models
- Orchestrate tool-using agents and conditional multi-step pipelines
Our recommendation
LangChain
Build, observe and deploy reliable LLM agents
4.7/5 (38 reviews)
Price
Free plan available Key features
- Open-source Python/JS building blocks for chains, agents, RAG and memory
- Swap LLM providers, vector stores and tools without rewriting
- Low-level orchestration of stateful multi-agent graphs with persistence
- Trace, debug and monitor agent/LLM runs in production
Dify vs LangChain — Specs at a glance
| Criteria | Dify | LangChain |
|---|---|---|
| Rating | 4.6/5 · 52 reviews | 4.7/5 · 38 reviews |
| Pricing model | freemium | freemium |
| Starting price | Free plan + paid from $59/mo | Free plan + paid from $39/seat/mo |
| Free plan | Yes | Yes |
| Best for | Developers and product teams wanting to build and ship LLM apps (chatbots, agents, RAG) fast, without building orchestration from scratch | Developers and teams building production LLM apps and agents who want orchestration plus observability/evals |
Dify — Pros and Cons
Pros
- Open-source: free self-hostable Community edition
- Visual studio: chatbots, agents, RAG and workflows without coding orchestration
- Model-agnostic: OpenAI, Anthropic, Llama, Hugging Face, Replicate…
- Built-in RAG base + LLMOps (logs, evals) to reach production
Cons
- LLM inference is billed separately (your own OpenAI/Anthropic API key…)
- Self-hosting requires devops skills
- The free Sandbox plan is limited (200 one-time, non-renewing credits)
LangChain — Pros and Cons
Pros
- Modular building blocks and a large integration ecosystem, no lock-in
- Open-source and free at the framework level; massive adoption
- LangSmith adds production-grade observability and evals
- Strong docs and learning resources (LangChain Academy)
Cons
- Steep learning curve; heavy abstractions can make code opaque
- Frequent updates and breaking changes to manage in production
- Docs can lag; pushes toward proprietary LangSmith for observability
Frequently asked questions
Which one is cheaper: Dify or LangChain?
Both Dify and LangChain offer a free plan, so you can start with either at no cost. Dify has the lowest paid entry point (Free plan + paid from $59/mo).
Does Dify or LangChain offer a free plan?
Yes, both Dify and LangChain offer a free plan.
Which has the higher user rating, Dify or LangChain?
LangChain has a higher user rating: 4.7/5 (38 reviews) versus 4.6/5 (52 reviews) for Dify.
What is Dify best for compared to LangChain?
Dify is best for developers and product teams wanting to build and ship llm apps (chatbots, agents, rag) fast, without building orchestration from scratch. LangChain is best for developers and teams building production llm apps and agents who want orchestration plus observability/evals. Choose based on which use case matches your needs.
Should I choose Dify or LangChain?
Pick Dify if you need developers and product teams wanting to build and ship llm apps (chatbots, agents, rag) fast, without building orchestration from scratch, and LangChain for developers and teams building production llm apps and agents who want orchestration plus observability/evals. Dify has the lower entry price (Free plan + paid from $59/mo), while LangChain edges ahead on user ratings at 4.7/5. Try any free plan before you commit.
