If you're evaluating Dify for production agentic workflows, the pricing page leaves a lot unsaid. The headline is that the open-source version is free forever, but that doesn't mean it's cheap. And the cloud plans start affordable but scale in ways that aren't obvious until you've already migrated your workflows.
This guide breaks down what each tier actually costs you, including the infrastructure bill you'll pay on the self-hosted side, and helps you pick the right deployment model for your team.
Pricing Tiers Table
| Plan | Price | Messages/mo | Team Members | Apps | Vector Storage |
|---|---|---|---|---|---|
| Sandbox (Cloud) | $0/mo | 200 OpenAI calls | 1 | 10 apps | 5MB |
| Professional | $59/mo | 5,000 messages | 3 | 50 apps | 200MB |
| Team | $159/mo | 10,000 messages | 50 | 200 apps | 1GB |
| Enterprise | Custom | Unlimited | Unlimited | Unlimited | Custom |
| Self-Hosted (Community) | $0 + infra | Unlimited | Unlimited | Unlimited | Self-managed |
| Self-Hosted (Premium) | $59+/mo per instance | Unlimited | Unlimited | Unlimited | Self-managed |
What Each Tier Gets You
Sandbox (Free Cloud)
The free cloud tier is genuinely useful for prototyping. You get 200 OpenAI message credits to test workflows, but you can also bring your own API keys to bypass the limit. It includes the full workflow builder, RAG pipeline tools, and access to the model providers Dify supports out of the box.
The catch: you cannot build for production on this tier. The 5MB vector storage limit caps your knowledge base to a few PDFs, and the single-user limit means no collaboration.
Professional ($59/mo)
This is where Dify starts to make sense for solo builders or small teams shipping something real. 5,000 monthly messages is enough for a small SaaS or internal tool. The 200MB vector storage handles a meaningful document corpus. Three team members covers founder + two engineers.
Annotation features unlock at this tier, which matters if you're doing supervised fine-tuning or trying to improve agent responses over time.
Team ($159/mo)
Targeted at companies with multiple departments using Dify. The 50-seat allowance covers most mid-sized teams, and 10,000 messages handles moderate production traffic. You also get SSO via Google OAuth, which is the minimum bar for any company past Series A.
Enterprise (Custom)
This tier exists for compliance-heavy buyers. SAML SSO, SOC 2 documentation, dedicated infrastructure, custom SLAs, and on-premises deployment options. Expect to negotiate a contract starting in the low five figures annually based on user count and message volume.
Self-Hosted (Community)
Dify is open source under a modified Apache 2.0 license, which means you can run the entire stack yourself for free. You'll need Docker, a Postgres database, a vector store (Weaviate or Qdrant), and Redis. The container stack runs comfortably on a 4 vCPU / 8GB RAM machine for small workloads.
The license has one notable restriction: you cannot offer Dify as a hosted multi-tenant service to third parties without a commercial license. For internal use, internal tools, and customer-facing products built on top of Dify, you're fine.
Self-Hosted (Premium / Enterprise Edition)
The paid self-hosted tier unlocks features the community edition doesn't ship, including advanced RBAC, audit logs, custom branding removal, and priority support. Pricing isn't published — expect to start a sales conversation if you need these.
Hidden Costs
The pricing tiers tell you what Dify charges. They don't tell you what running Dify actually costs. Here's where the money goes:
- LLM API costs. Dify doesn't include model inference. Every message you process pays OpenAI, Anthropic, or your provider of choice. A 10,000-message month on GPT-4o averages $50-200 depending on prompt length and tool use.
- Vector storage at scale. The 1GB ceiling on the Team plan sounds generous until you ingest a few thousand documents with embeddings. A 500-page technical manual chunked at standard sizes can easily consume 50-100MB.
- Infrastructure for self-hosted. A production self-hosted Dify deployment on AWS or GCP typically runs $80-200/mo for compute, $30-60/mo for managed Postgres, $40-80/mo for a managed vector database, and bandwidth on top. Realistic floor: $150/mo all-in, before you've made a single LLM call.
- Observability tooling. Dify has built-in monitoring, but production teams usually layer in Langfuse, Helicone, or DataDog. Add $50-200/mo.
- Engineering time on self-hosted. The hidden cost nobody budgets for. Plan on 1-2 engineer-days per month for upgrades, monitoring, and incident response. At loaded cost that's $2,000-5,000/mo in equivalent value.
How It Compares to Competitors
| Tool | Free Tier | Paid Entry | Self-Host Available | Best For |
|---|---|---|---|---|
| Dify | 200 messages | $59/mo | Yes (OSS) | Agentic workflows + RAG |
| n8n | Self-host free | $20/mo cloud | Yes (OSS) | General workflow automation |
| Flowise | Self-host free | $35/mo cloud | Yes (OSS) | LangChain-based agents |
| Zapier | 100 tasks/mo | $19.99/mo | No | SaaS-to-SaaS integration |
Dify sits in a specific niche: production agentic workflows with RAG as a first-class citizen. n8n is broader but less opinionated about LLM use cases. Flowise is closer in feature set but feels less production-ready out of the box. Zapier is a different category entirely — built for non-technical SaaS automation, not custom AI agents.
The honest comparison: if you want LLM-native workflows with a polished UI and you're willing to either pay or host, Dify is the strongest option. If you want general workflow automation with optional LLM bolt-ons, n8n is more flexible.
Which Plan Should You Pick
Pick Sandbox if
You're evaluating Dify and haven't decided yet. Bring your own OpenAI key to avoid the 200-message cap, build a real workflow, and see if the platform clicks before paying anything.
Pick Professional if
You're a solo builder or two-to-three person team shipping a single AI product. $59/mo plus your LLM costs is the cheapest way to run Dify in production without operating infrastructure yourself.
Pick Team if
You have 5+ people using Dify across multiple projects, you need SSO, and your monthly message volume is between 5,000 and 10,000. Below that threshold, two Professional plans cost less.
Pick Self-Hosted (Community) if
You have an engineer who is comfortable operating Docker and Postgres in production, you process more than 20,000 messages per month, or you have data residency requirements that rule out cloud. The break-even versus Team plan happens around 15,000 messages/month once you account for infrastructure.
Pick Enterprise if
You need SAML, SOC 2 attestation, or contractual SLAs. Don't bother negotiating Enterprise if those aren't hard requirements — you'll pay more for features you won't use.
Verdict
Dify pricing is fair for what you get, but the published tiers hide the real cost picture. Cloud Professional at $59/mo is the right starting point for almost everyone — it's cheap enough to deploy without internal approval and capable enough to ship real products.
The self-hosted route only wins economically at scale or when compliance demands it. The $150-300/mo all-in infrastructure cost plus engineering overhead is hard to justify below 15,000 messages/month, even though the software itself is free.
What's missing from Dify's pricing page: clear self-hosted Premium tier costs, transparent Team-to-Enterprise upgrade triggers, and a published Enterprise floor. Until those land, expect a sales conversation if you outgrow Team. For most builders reading this, that's a problem you'll be glad to have.