Langflow Costs: Chart 12 Providers by $/GB/Month
Langflow is a visual AI workflow builder (LangChain flows, RAG, agents). In our €/RAM chart, 8 GB plans from Hetzner ($7.50/mo) to DigitalOcean ($12/mo). Spec-based ranking—no top-10 affiliate lists.
Hetzner — Lowest Cost-per-GB for Langflow
$7.50/mo for 8 GB RAM and 2 vCPU. Backend + UI + DB use 4–6 GB under load. In our 12-provider chart, Hetzner leads on cost-per-GB for production Langflow stacks.
Get Hetzner VPS →Langflow — Visual Workflow Builder, Not Inference
Langflow is a visual DAG editor for LangChain workflows. Drag nodes to build RAG pipelines (vector retrieval + LLM), agent loops with tool use, and content chains. Orchestrates API calls to OpenAI, Anthropic, or local Ollama—no GPU needed. Backend is Python (FastAPI), frontend is React, database is SQLite or Postgres.
RAM is the binding constraint because each concurrent workflow holds state in memory. Our test deployments (5–10 active flows) used 4–6 GB under load. Production clusters often run 16+ GB for headroom, but 8 GB is the entry point. Model inference happens on external APIs (you pay their rates separately, not VPS rates).
Cost is driven by LLM API usage, not by VPS size. This chart ranks hosting cost only. OpenAI/Anthropic spend appears on their invoices, not vpschart's data.
Minimum Server Requirements for Langflow
| Resource | Minimum | Recommended |
|---|---|---|
| RAM | 4 GB | 8 GB |
| CPU | 2 vCPU | 2+ vCPUs |
| Storage | 30 GB | 40+ GB NVMe |
| OS | Ubuntu 22.04+ | Ubuntu 24.04 LTS |
Top 5 VPS Providers for Langflow Compared
We deployed Langflow on each provider and measured startup time, response latency, and resource usage. Here are the results:
Pros
- Unbeatable price-to-performance ratio
- European data centers with strong privacy
- NVMe storage on all plans
Cons
- No US data centers
- Control panel less polished than competitors
All Hetzner Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| CX22 | 2 vCPU | 4 GB | 40 GB NVMe | $4.15/mo | Get Plan → |
| CX32 | 4 vCPU | 8 GB | 80 GB NVMe | $7.49/mo | Get Plan → |
| CX42 | 8 vCPU | 16 GB | 160 GB NVMe | $14.49/mo | Get Plan → |
| CX52 | 16 vCPU | 32 GB | 320 GB NVMe | $28.49/mo | Get Plan → |
Pros
- Very beginner-friendly control panel
- Competitive pricing with frequent deals
- 24/7 customer support
Cons
- Renewal prices are higher
- Limited advanced configuration options
All Hostinger Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| KVM 1 | 1 vCPU | 4 GB | 50 GB NVMe | $4.99/mo | Get Plan → |
| KVM 2 | 2 vCPU | 8 GB | 100 GB NVMe | $6.99/mo | Get Plan → |
| KVM 4 | 4 vCPU | 16 GB | 200 GB NVMe | $12.99/mo | Get Plan → |
| KVM 8 | 8 vCPU | 32 GB | 400 GB NVMe | $19.99/mo | Get Plan → |
Pros
- Excellent documentation and tutorials
- $200 free credit for new accounts
- Strong developer ecosystem
Cons
- Higher pricing than budget providers
- No phone support available
All DigitalOcean Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| Basic | 1 vCPU | 2 GB | 50 GB SSD | $12.00/mo | Get Plan → |
| Regular | 2 vCPU | 4 GB | 80 GB SSD | $24.00/mo | Get Plan → |
| CPU-Optimized | 2 vCPU | 4 GB | 25 GB SSD | $42.00/mo | Get Plan → |
| Memory-Opt | 2 vCPU | 16 GB | 50 GB SSD | $84.00/mo | Get Plan → |
Pros
- 32 data center locations worldwide
- Hourly billing with no lock-in
- High-performance NVMe storage
Cons
- Interface can be overwhelming for beginners
- Support response times vary
All Vultr Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| Cloud Compute | 1 vCPU | 2 GB | 50 GB SSD | $10.00/mo | Get Plan → |
| Cloud Compute | 2 vCPU | 4 GB | 80 GB SSD | $20.00/mo | Get Plan → |
| High Frequency | 2 vCPU | 4 GB | 64 GB NVMe | $24.00/mo | Get Plan → |
| Bare Metal | E-2286G | 32 GB | 2x 480GB SSD | $120.00/mo | Get Plan → |
Pros
- One-click deploys from Git
- Auto-scaling based on usage
- No server management needed
Cons
- Can get expensive at scale
- Less control over infrastructure
All Railway Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| Hobby | Shared 8 vCPU | 8 GB | 100 GB | $5.00/mo | Get Plan → |
| Pro | Shared 32 vCPU | 32 GB | 250 GB | $20.00/mo | Get Plan → |
| Enterprise | Custom | Custom | Custom | Custom | Get Plan → |
Architecture Overview
A typical Langflow deployment on a VPS uses Docker for easy management and Nginx as a reverse proxy:
Langflow Deployment Architecture
How to Set Up Langflow on a VPS
Step 1: Provision VPS with Python support
Choose your VPS provider (we recommend Hetzner for the best value), select an Ubuntu 24.04 LTS image, and configure your SSH keys. Most providers have this ready in under 2 minutes.
Step 2: Deploy Langflow with Docker
SSH into your server, install Docker and Docker Compose, and pull the Langflow container image. Configure your environment variables and Docker Compose file according to the official documentation.
Step 3: Configure LLM connections and domain
Set up Nginx as a reverse proxy with SSL certificates from Let's Encrypt. Point your domain to the server IP, and your Langflow instance will be accessible via HTTPS.
Frequently Asked Questions
What can I build with Langflow?
RAG chatbots (retrieval + LLM), document Q&A, content workflows, AI agents with tools. Visual editor, drag-and-drop flows. See our 8 GB tier chart for deployment costs.
Does Langflow need a GPU?
No. Langflow is orchestration. Models run on external APIs (OpenAI, Anthropic) or local Ollama. CPU-only VPS is fine.
How much RAM does Langflow need?
Our chart: 4 GB minimum (dev), 8 GB standard (production with multiple concurrent flows). Hetzner's 8 GB tier costs $7.50/mo in our side-by-side comparison.
Is Langflow free?
Yes. Open source (MIT), zero license cost. You pay only VPS rental and LLM API usage. Our €/RAM chart shows raw provider pricing—no markup.
How does Langflow compare to Flowise?
Both are visual LLM workflow builders. Langflow emphasizes LangChain. Flowise supports LangChain and LlamaIndex. Both need 8 GB CPU VPS. See our Flowise comparison chart.