Dify vs vLLM: which one to choose in 2026?
Both are open source alternatives to OpenAI API. We compare license, tech stack and features to help you decide which fits your team best.
| Dify | vLLM | |
|---|---|---|
| Category | Artificial Intelligence | Artificial Intelligence |
| License | Apache-2.0 | Apache-2.0 |
| GitHub stars | 54k | 29k |
| Tech stack | Python, Next.js, PostgreSQL | Python, CUDA |
| Replaces | OpenAI API | OpenAI API |
Dify has more GitHub stars, which usually indicates a larger community (not necessarily that it's the best option for your use case).
Dify
Platform for building AI apps with a visual editor and observability.
Pros
- Cuts down a lot of the code needed to ship an AI product
Things to consider
- Full production stack has several services (Weaviate/Redis)
vLLM
High-performance LLM inference engine, an alternative to the OpenAI API in production.
Pros
- Purpose-built for serving LLMs in production at scale
Things to consider
- Requires a GPU with enough VRAM for the chosen model
Key features
Dify
- Visual editor for AI agents and flows
- Observability and logs for every conversation
- Multi-model: OpenAI, Anthropic, local
vLLM
- Much higher throughput thanks to PagedAttention
- OpenAI-compatible API
- Supports dozens of model architectures