Comparison
langflow Vellum AI
Side-by-side: pricing, features, integrations. Pick the one that fits.
Specs · 7 differences
| Spec | langflow | Vellum AI |
|---|---|---|
| Starting price | Custom | $25/mo |
| Free tier | ||
| Pricing model | — | freemium |
| Pricing tiers | — | 1 |
| Best for | — | Teams wanting to build internal and external AI workflow automations. |
| Integrations | — | — |
| Open source | ||
| Last verified | — | — |
langflow
Vellum AI
Pros
- No code required through agent building.
- Strong versioning and end-to-end observability.
- Flexible deployment options, including cloud and on-prem.
- Built-in evaluations for improving workflow accuracy.
Cons
- May feel unfamiliar to traditional low-code users.
- Rapid iteration can lead to occasional UI changes.
Verdict
Pick langflow if you want this style of tool.
Pick Vellum AI if teams wanting to build internal and external AI workflow automations.
Bottom line
Both Langflow and Vellum AI aim to simplify the creation and deployment of AI-powered workflows and agents, providing a visual interface to connect various components and models. They both target teams looking to accelerate their AI development and integration, reducing the need for extensive coding expertise.
Langflow excels in providing a highly customizable and extendable platform for building agents and MCP servers (though not fully detailed), with strong support for a wide range of LLMs, vector databases, and the ability to define custom Python logic. Its emphasis on visual state flows and reusable components suggests a deeper level of granular control over the AI agent's internal workings.
Vellum AI, on the other hand, focuses on enabling organization-wide standardization and scalability of AI processes, with a clear emphasis on integrating with existing SaaS applications for tasks like lead scoring and CRM enrichment. Its low-code approach is designed to empower a broader range of users, from business analysts to product managers, to implement and manage AI workflows efficiently.
Pick Langflow if you need deep customization and control over AI agent logic and server deployment, pick Vellum AI if your priority is integrating AI with existing business applications and standardizing workflows across an organization.
Frequently asked
- Which is cheaper, langflow or Vellum AI?
- Vellum AI starts at $25/mo; langflow uses custom pricing.
- Does langflow have a free tier?
- No — langflow is paid only.
- Does Vellum AI have a free tier?
- Yes — Vellum AI offers a free tier.
- When should I pick langflow over Vellum AI?
- Pick langflow for the strengths listed in the pros section.
- When should I pick Vellum AI over langflow?
- Pick Vellum AI if your use case matches: teams wanting to build internal and external AI workflow automations..
Related comparisons
Want a deeper dive? langflow profile · Vellum AI profile