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Dify vs LlamaIndex

Dify or LlamaIndex? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In short

  • Both: Self-hosted, API, Builds agents and workflows, Search over your data
  • Only Dify states: Choice of models, Traces and evaluates

Dify

Dify lets teams build, test, deploy, and monitor AI apps, agents, workflows, and RAG pipelines in the cloud or on private infrastructure.

Plans

Sandbox

Free

  • 200 message credits
  • 1 Team Workspace
  • 1 Team Member
  • 5 Apps
  • 50 Knowledge Documents
  • 50MB Knowledge Data Storage

Professional

  • $590 per workspace / year
  • 5,000 message credits / month
  • 1 Team Workspace
  • 3 Team Members
  • 50 Apps
  • 500 Knowledge Documents
  • 5GB Knowledge Data Storage

Enterprise

Price on request

  • Enterprise-grade Scalable Deployment Solutions
  • Commercial License Authorization
  • Multiple Workspaces & Enterprise Management
  • SSO
  • Advanced Security & Controls
  • Professional Technical Support

Prices checked 2026-09-25 by web search.

Capabilities

  • Choice of models — “Credits are provided to help you easily try out different models from OpenAI, Anthropic, Gemini, xAI, Tongyi in Dify.” source
  • Self-hosted — “Self-host or run in your VPC.” source
  • API — “Publish Dify apps as hosted experiences, API endpoints, embeds, or MCP-compatible tools.” source
  • Builds agents and workflows — “Build an agent by chatting or configuring it manually.” source
  • Search over your data — “Prepare searchable knowledge bases” source
  • Traces and evaluates — “Use logs, feedback, annotations, latency, and usage data to understand what happened and improve the app over time.” source

Latest updates

  • v1.17.0 (v1.17.0)

    Adds an E2B sandbox backend, build-time home snapshots, and skill management.

  • v1.16.0 (v1.16.0)

    Launches Dify Agent (Beta), with a UI builder for agents that run in a Linux sandbox.

About Dify

LlamaIndex

LlamaIndex is an open-source framework for building AI agents and applications that use private data, retrieval, workflows, and document processing.

Plans

Free

Free

  • Includes 10K credits
  • 100 users
  • Basic support
  • Join thousands of users

Starter

  • $50 /month
  • Includes 40K credits
  • Pay-as-you-go up to 400K credits
  • 100 users
  • Basic support

Pro

  • $500 /month
  • Includes 400k credits
  • Limited-time bonus: 800k credits ($1,000), one-time*
  • Pay-as-you-go up to $5,000/mo
  • 100 users
  • Priority Slack support

Enterprise

Price on request

  • Volume discount on credits
  • 5x higher rate limits
  • Enterprise SSO
  • SaaS or Hybrid cloud deployment
  • Dedicated account manager

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Self-hosted — “For enterprises, we also offer deployment in private VPCs across all cloud providers, ensuring data never leaves your tenant.” source
  • API — “Webhooks & API callbacks” source
  • Builds agents and workflows — “Builder Natural language to code workflows builder” source
  • Search over your data — “Enterprise-grade chunking and embedding pipeline. Built to deliver precision and relevance in every retrieval call for best-in-class RAG.” source

Security

  • SOC 2 Type II — “SOC 2 Type II Report (2025)” source
  • SOC 2 — “SOC 2 Type II Report (2025)” source

Latest updates

  • v0.14.25 (v0.14.25)
  • v0.14.24 (v0.14.24)

    Fixed issues with CodeSplitter, chat history, HTMLNodeParser, MMR search, ingestion upserts, tool parameters, filters, and AgentWorkflow output.

  • v0.14.21 (v0.14.21)

    Fixed core issues in node deletion, structured output failures, persistence encoding, and message block buffer resolution.

About LlamaIndex