Continue
Dify
| Feature | Continue | Dify |
|---|---|---|
| Pricing | Free only | Free / from $59/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.5 / 5 |
| Best For | developers, open-source-advocates, privacy-focused-devs, self-hosters | ai-builders, non-technical-teams, enterprises, developers |
| Founded | 2023 | 2023 |
| Autocomplete | ✓ | ✗ |
| Chat | ✓ | ✗ |
| Inline Editing | ✓ | ✗ |
| Multi Model Support | ✓ | ✗ |
| Context Providers | ✓ | ✗ |
| Custom Commands | ✓ | ✗ |
| Visual Orchestration | ✗ | ✓ |
| Rag Pipeline | ✗ | ✓ |
| Agent Mode | ✗ | ✓ |
| Multi Model | ✗ | ✓ |
| Knowledge Base | ✗ | ✓ |
| Api Access | ✗ | ✓ |
✓ Continue Pros
- Fully open-source (Apache 2.0)
- Works with any LLM provider
- VS Code and JetBrains support
- Local model support
✗ Continue Cons
- Requires self-configuration of LLM
- Less polished than Copilot
- Setup can be complex for beginners
✓ Dify Pros
- Open-source and self-hostable
- Visual workflow builder
- Built-in RAG pipeline
- Multi-model support
✗ Dify Cons
- Complex for simple chatbots
- Self-hosting requires resources
- Documentation improving
The Verdict
Continue is built for developers and open source advocates, with a focus on autocomplete and chat. Dify targets ai builders and non technical teams and leads with visual-orchestration and rag-pipeline.
Continue uses custom enterprise pricing, while Dify starts at $59/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Both tools are a solid fit for developers — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.