Dify vs Vellum
A side-by-side comparison of two ai agents tools — pricing, integrations, and the trade-offs that matter — so you can pick the right fit fast.
| Feature | Dify | Vellum |
|---|---|---|
| Category | AI Agents | AI Agents |
| Pricing | Freemium · from Free | Paid · from Custom pricing |
| Best for | Developers | Developers, Product Managers |
| Use cases | Building AI agents and chatbots with a visual interface, Self-hosting LLM applications for data control, Integrating knowledge bases into AI agent workflows | Testing and evaluating prompts systematically, Building production-grade LLM applications, Iterating on AI agent workflows before deployment |
| Integrations | OpenAI API, GitHub, API | OpenAI API, Anthropic API, API |
| Rating | — | — |
| Website | Visit Dify | Visit Vellum |
Dify
Open-source LLM app development platform for building and deploying AI agents.
Pros
- +Open-source and self-hostable for full data control
- +Combines prompt orchestration with knowledge base integration
- +Visual interface reduces coding requirements for agent building
Cons
- –Self-hosting requires infrastructure management responsibility
- –Advanced customization still benefits from development knowledge
Vellum
Development platform for building, testing, and deploying production LLM agents.
Pros
- +Provides systematic prompt testing and evaluation tools
- +Helps teams iterate on agent workflows before production deployment
- +Built specifically for production LLM application development
Cons
- –Most valuable for teams building and iterating on LLM apps regularly
- –Requires some technical setup to integrate into existing pipelines
Dify vs Vellum FAQ
- Is Dify better than Vellum?
- Neither is universally better — both are ai agents tools. Dify (Freemium, from Free) is a strong fit for Building AI agents and chatbots with a visual interface, while Vellum (Paid, from Custom pricing) suits Testing and evaluating prompts systematically. Pick by your primary use-case and budget.
- What is the main difference between Dify and Vellum?
- Dify focuses on "Open-source LLM app development platform for building and deploying AI agents." whereas Vellum focuses on "Development platform for building, testing, and deploying production LLM agents.". Their pricing starts at Free and Custom pricing respectively.
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