Method: Research-only comparison of official documentation. No hands-on benchmark or performance ranking.
Start with the job
- You want an AI flow that becomes an API or MCP tool.
- You want document retrieval, model configuration and application operations together.
Documented differences
| Consideration | Langflow | Dify |
|---|---|---|
| Focus | A visual environment for composing AI workflows and exposing them through APIs or MCP tools. | A platform combining visual AI workflows, document retrieval, model connections and application APIs. |
| Documented capabilities | Visual builder · Retrieval · AI workflows · API deployment | Visual builder · Document retrieval · AI workflows · Application APIs |
| Free hosted option | Not verified | Not verified |
| Before choosing | Model access and deployment resources are separate from the workflow editor. Review the authentication settings of any shared deployment. | The Dify license includes additional conditions. Model usage and server costs are separate; cloud plan pricing is unverified. |
Our take
Langflow emphasizes visual authoring, Python-customizable components and API/MCP exposure. Dify emphasizes a combined workflow, retrieval and application platform. Evaluate the required components and model-provider costs rather than choosing from an unsupported speed ranking.
What this comparison does not establish
- Exact plan prices were not verified and are not compared.
- Documented capabilities can change; verify account access and current terms.
- No affiliate relationship influences this comparison.
Sources and evidence
- 1. Langflow — official source →Observed Oct 16, 2026 · official
Comparison is limited to capabilities documented in this official source.
- 2. Dify — official source →Observed Oct 16, 2026 · official
Comparison is limited to capabilities documented in this official source.
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