Dify vs Relevance AI
Relevance AI scores 8.1 to Dify's 7.1 among the AI agent builders we rate, and is the better pick for 2 of the 4 kinds of buyer below.
Relevance AI wins, 8.1 to 7.1
Dify uniquely has 12 features · Relevance AI uniquely has 6 features.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Free plan: Dify yes, Relevance AI no
- But Relevance AI leads on cost of 1,000 five-step runs a month: $29 against $59
- App connectors: Dify not published, Relevance AI 2000 apps
- Run history kept on the cheapest plan: Dify not published, Relevance AI 90 days
- Test and evaluate agents: Relevance AI yes, Dify no
- Agents that work together: Relevance AI yes, Dify does not say
- Ways to reach support: Email, live_chat, community, slack against Slack
- But Dify leads on self-hosted edition: Dify yes, Relevance AI no
How they score
Both are scored the same way, against the other AI agent builders we rate, from facts on each vendor's own pages. Relevance AI leads on 4 of 7 criteria.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (7)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Dify
Relevance AI
Relevance AI does not publish a plan list we could read.
Pros and cons
From each tool's full review, written from the same checked facts.
Dify
- Supports over 100 AI models including OpenAI, Anthropic Claude, Mistral, and local Llama models through a consistent visual interface.
- RAG pipeline support is built natively into the workflow builder, eliminating the need to bolt on document retrieval separately.
- Flexible deployment options including cloud, VPC, and fully self-hosted via Docker or Kubernetes with official support for all three.
- Visual Workflow Studio uses drag-and-drop nodes covering agents, RAG steps, and decision branches for rapid development.
- Strong open-source traction with 151K+ GitHub stars indicating active community and ongoing development momentum.
- Ideal for development teams who want to ship production-ready AI applications without rebuilding infrastructure from scratch.
- Data residency and enterprise security requirements are accommodated through self-hosting options, a rarity at this price point.
- The platform is genuinely difficult to categorize, suggesting an unclear or overly broad product identity that may confuse buyers.
- User base claims of 500K+ cannot be independently verified, raising questions about the reliability of vendor-provided metrics.
- The review was not based on hands-on workflow building, meaning real-world usability limitations may not be fully captured.
- Moving faster than competitors in a fast-moving space increases the risk of instability, incomplete features, or shifting roadmaps.
- As a platform founded in 2023, long-term enterprise reliability and support track record remain unproven.
- Complexity of supporting 100+ models and multiple deployment methods may lead to inconsistent or under-documented edge cases.
Relevance AI
- Supports building teams of specialist AI agents rather than one general-purpose bot, allowing each agent to be optimized for its specific task.
- Multi-model LLM router automatically benchmarks and routes tasks to the cheapest model that meets quality requirements, reducing costs.
- Over 1,000 app integrations available including Salesforce, HubSpot, Slack, and Google Workspace.
- Enterprise-grade features including role-based access control, SSO, and audit logs make it suitable for serious business deployments.
- No-code visual agent builder allows non-technical users to build, wire, and deploy agents without writing code.
- Dedicated deployment team helps customers go live, reducing time-to-value for mid-market and enterprise buyers.
- Architecturally distinct from most automation platforms with an agent-first workflow structure built for revenue-facing teams.
- Not designed for hobbyists or personal automation use cases — the platform is explicitly enterprise and mid-market focused.
- The ambitious multi-agent architecture may introduce complexity that smaller teams or simpler use cases don't need.
- Pricing and feature depth suggest a significant investment, likely inaccessible to startups or budget-constrained buyers.
- The platform's novelty means fewer established best practices or community resources compared to more mature tools.
- Agent-first structure may require a shift in how teams think about automation, creating an adoption learning curve.
Dify vs Relevance AI: common questions
Which is better, Dify or Relevance AI?
Relevance AI scores 8.1 and Dify 7.1 out of 10 among the AI agent builders we rate. Relevance AI is ahead on aI agents, apps it connects to, reliability and control and support. Dify is ahead on pricing and hosting and security.
Is Dify or Relevance AI cheaper?
Dify's cheapest paid plan is $59/mo and Relevance AI's is $29/mo — Pro. Compare what each plan includes below before going on price alone.
Do Dify and Relevance AI have a free plan?
Dify does and Relevance AI does not.
What can Dify do that Relevance AI cannot?
On the facts both vendors publish: free plan and self-hosted edition.
What can Relevance AI do that Dify cannot?
On the facts both vendors publish: test and evaluate agents.