AI-Flow vs Langflow
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
AI-Flow
Visual node-based builder for chaining OpenAI, Anthropic, Replicate and other model APIs into content pipelines.Langflow
Open-source visual builder for LangChain-style AI agents and RAG pipelines.Pricing
AI-Flow
FreemiumΒ· Free tier: 25 welcome credits + 20 BYOK runs/day; paid plans for extended storageLangflow
FreemiumΒ· Open-source free; hosted free tier + paid enterprise via DataStaxFree trial
AI-Flow
YesLangflow
YesAPI
AI-Flow
YesLangflow
YesPlatforms
AI-Flow
api
Langflow
webslack
Open source
AI-Flow
YesLangflow
Yes Β· MITGitHub stars
AI-Flow
βLangflow
155,378
checked 2026-09-29
Last GitHub push
AI-Flow
βLangflow
2026-09-29First commit
AI-Flow
βLangflow
2023-02Model used
AI-Flow
Multi-model (OpenAI, Anthropic, Google, Replicate, xAI)Langflow
Multi-modelBest for
AI-Flow
Pick AI-Flow if you want a visual canvas to chain image, video, and text models from multiple providers using your own API keys.Langflow
Pick Langflow if you're a Python developer who wants a visual scratchpad for LangChain-style agents and RAG flows without giving up code-level control.Not for
AI-Flow
Skip it if you need a code-first agent framework, complex tool-use orchestration, or a mature plugin marketplace.Langflow
Skip it if you're a non-technical user hoping to build production agents by dragging boxes, or if you need a stable, slow-moving platform.Editorial score
AI-Flow
7.2 / 10Langflow
8.1 / 10Use cases
AI-Flow
workflow-automationcontent-pipelinesvideo-generationimage-generationmodel-chaining
Langflow
agent-prototypingrag-pipelinesworkflow-automationllm-orchestrationchatbot-development
Pros
AI-Flow
- Open source with self-host option via GitHub
- BYOK model avoids platform markup on API costs
- Visual node canvas covers 30+ models in one graph
- Generous free tier with no credit card required
- Webhook/API hooks for triggering flows externally
Langflow
- Open source and self-hostable with a permissive license
- Visual graph maps cleanly to LangChain concepts developers already know
- Broad LLM and vector-DB coverage out of the box
- Every node is editable Python, not a locked black box
- Flows deploy as APIs without extra glue code
Cons
AI-Flow
- Paid plan pricing not transparent on the landing page
- Templates skew toward media generation, less RAG/text focus
- Smaller ecosystem than n8n or Flowise
Langflow
- Fast-moving codebase; version upgrades can break existing flows
- Visual metaphor still assumes LangChain-level familiarity
- Hosted tier is tied to DataStax's Astra ecosystem
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick AI-Flow if
- β Open source with self-host option via GitHub
- β BYOK model avoids platform markup on API costs
- β Visual node canvas covers 30+ models in one graph
- β Generous free tier with no credit card required
Pick Langflow if
- β Open source and self-hostable with a permissive license
- β Visual graph maps cleanly to LangChain concepts developers already know
- β Broad LLM and vector-DB coverage out of the box
- β Every node is editable Python, not a locked black box