Langflow vs LiteLLM
Detailed comparison to help you choose the right AI tool. Compare features, pricing, pros & cons, and user ratings.
Langflow
Visual Low-Code Builder For Production-Ready AI Agents And Workflows
LiteLLM
Unified AI Gateway To Call 100+ LLMs In One Format
Quick Verdict
Side-by-Side Comparison
Langflow
Pros
- Truly Open Source, Zero Vendor Lock-In
- API-First Architecture Out Of The Box
- Rapid Multi-Agent Prototyping
- Active Release Cadence
Cons
- No Built-In Multi-Tenant Isolation
- Complex Flows Hit Performance Ceiling
- Desktop App Still Maturing
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
Langflow Features
- Drag-and-drop visual builder for rapid AI agent and workflow creation
- Built-in interactive playground for real-time flow testing and iteration
- Native MCP server support to turn workflows into deployable AI tools
- Multi-agent orchestration with conversation management and retrieval support
- Deploy flows instantly as REST APIs for any framework or tech stack
- Supports all major LLMs, vector databases, and a growing AI tools library
- Full Python source code access for deep, unlimited component customization
- Enterprise-ready security, scalability, and observability with LangSmith and LangFuse
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
Langflow is best for:
LiteLLM is best for:
Frequently Asked Questions
What is the difference between Langflow and LiteLLM?
Langflow is visual low-code builder for production-ready ai agents and workflows, while LiteLLM is unified ai gateway to call 100+ llms in one format. Langflow has 8 features and a 0.0 rating, compared to LiteLLM's 8 features and 0.0 rating.
Which is better: Langflow or LiteLLM?
Both Langflow and LiteLLM are equally rated by users. The best choice depends on your specific needs. Langflow offers free pricing, while LiteLLM offers contact pricing.
Is Langflow free to use?
Langflow has free pricing (Free & Open Source). 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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