Dify Review, Pricing & Alternatives (2026)

Dify is an application platform from LangGenius, founded in March 2023 according to the company. Its visual workflow canvas connects language models with business systems and covers application building, deployment, monitoring, and knowledge retrieval. LangGenius said in March 2026 that Dify ran on more than 1.4 million machines, reached users in more than 175 countries and regions, and had more than 2,000 teams and 280 enterprises. The announcement also reported a $30 million Series Pre-A led by HSG, with GL Ventures, Alt-Alpha Capital, 5Y Capital, Mizuho Leaguer Investment, and NYX Ventures participating. These figures describe company-reported scale and funding. Dify’s central appeal is control over the application layer, model connections, deployment location, and operational interface.

A typical Dify project begins with an app type such as Chatflow, Workflow, Agent, or text-generation application. The builder connects prompt and LLM nodes, conditional logic, code, HTTP requests, tools, and human-input steps on a canvas. Knowledge bases ingest documents, create embeddings, retrieve passages, and can rerank results for RAG responses. Teams add a provider key, test runs in the visual interface, inspect logs, annotate answers, and publish a web app or call the application through a REST API. Plugins and marketplace integrations add providers and tools. The API documentation covers chat messages, workflow execution, file uploads, conversations, feedback, annotations, knowledge bases, and streaming events. This makes Dify useful for prototypes that need a defined path toward production deployment.

Dify is model-agnostic at the application layer. Its provider system supports LLM, embedding, rerank, speech-to-text, and text-to-speech models. Users connect provider credentials or add a custom model when a listed option is absent. Current documentation names OpenAI, Anthropic, Gemini, xAI, and Tongyi among supported providers, with additional marketplace additions. Billing generally occurs through the connected provider account. Recent releases include self-hosted version 1.17.1 in September 2026, which lists dataset-scoped knowledge-base API keys and marketplace creator profiles. Dify Enterprise’s release page lists version 3.12.1 as the latest August 2026 enterprise release and identifies long-term-support versions. Edition and version numbering differ, so administrators should check the relevant release channel before upgrading.

Dify Cloud’s Sandbox plan costs $0/month and includes 200 message credits, one member, five apps, 50 knowledge documents, 50 MB of knowledge storage, 3,000 monthly trigger events, and a 5,000-per-month API limit. Professional costs $590 per workspace per year and includes 5,000 monthly message credits, three members, 50 apps, 500 documents, 5 GB storage, and 20,000 trigger events. Team costs $1,590 per workspace per year and includes 10,000 monthly message credits, 50 members, 200 apps, 1,000 documents, 20 GB storage, and unlimited trigger events. Enterprise is custom. Community self-hosting is free, while Enterprise self-hosting is custom. Cloud prices exclude applicable taxes, and model-provider charges may continue after included credits run out.

Dify’s main trade-off is operational choice: Cloud reduces administration, while self-hosting puts upgrades, security, storage, and provider credentials under the customer’s control. Community use must comply with the Dify Open Source License, whose source-available terms can restrict some commercial deployments. Langflow and Flowise are closer visual builders, while n8n focuses on broad automation and event integration. Dify fits teams needing a model-flexible LLM application layer, RAG, application APIs, and cloud or self-hosted deployment. Choose n8n when AI is one step inside a wider business process, or Langflow when a developer-oriented orchestration canvas is the priority. Pick Dify if your team needs to build and operate AI applications with visible workflows, knowledge bases, and provider choice.