Dify vs Vellum

A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.

Short answer: choose Dify if you want open-source platform for building llm apps and agentic workflows (Supervised agent, freemium); choose Vellum if you want platform to build, evaluate, and deploy llm apps and ai agents (Supervised agent, contact).

DifyVellum
What it isOpen-source platform for building LLM apps and agentic workflowsPlatform to build, evaluate, and deploy LLM apps and AI agents
Typeplatformplatform
AutonomySupervised agentSupervised agent
Pricingfreemium · Self-host free; Dify Cloud has a free sandbox plancontact
Best fordevelopers, smb, mid-marketdevelopers, enterprise
Deploymentself-hosted, saas, on-premsaas, api
Modalitiestext, apitext, code, api
Modelsmodel-agnostic, open-sourcemodel-agnostic, gpt, claude, gemini
Protocolsfunction-calling, rest-api, mcpmcp, function-calling, rest-api
IntegrationsOpenAI, Anthropic, Mistral, Llama, Kubernetes, DockerComposio, OpenAI, Anthropic, Google Gemini, AWS Bedrock, Cursor
Capabilities4 documented4 documented

Dify

  • +Open source and self-hostable (Docker, Kubernetes) with no vendor lock-in
  • +Combines workflows, RAG, agents, model management, and observability in one stack
  • +Broad model support including any OpenAI-API-compatible endpoint
  • -A building platform: you design and operate the apps and their guardrails
  • -Self-hosting at scale requires infrastructure expertise
Full Dify profile

Vellum

  • +Genuinely model-agnostic with a large, frequently updated catalog, avoiding lock-in
  • +Covers the full LLM lifecycle (experiment, evaluate, deploy, monitor) in one place
  • +Strong agent tooling with first-class MCP, Composio integrations, and auto-generated function-calling schemas
  • -Brand and domain confusion: the apex vellum.ai domain appeared to host an unrelated product at this review
  • -Platform pricing is not transparently published (sales-led, enterprise-leaning)
Full Vellum profile

Which should you choose?

Dify is open-source platform for building llm apps and agentic workflows, best for developers, smb, mid-market. Vellum is platform to build, evaluate, and deploy llm apps and ai agents, best for developers, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.