Dify vs Together AI — Which One Wins?
A detailed, side-by-side comparison of Dify and Together AI to help you pick the right tool for your workflow.
Quick Verdict
Dify takes the lead with a 4.9 rating and is best for teams building llm-powered applications who want a visual development platform. Together AI (4.2) is the better pick if you need ai teams that want to run and fine-tune open-source models without managing infrastructure.
Side-by-Side Comparison
| Criteria | Dify | Together AI |
|---|---|---|
| Rating | ★★★★★ 4.9(18) | ★★★★ 4.2(9) |
| Pricing Model | open_source | paid |
| Starter Price | $59/mo | $0.10/MTok |
| Free Tier | No | No |
| Platforms | Web | Web |
| Learning Curve | moderate | moderate |
| API Available | Yes | Yes |
| Best For | Teams building LLM-powered applications who want a visual development platform | AI teams that want to run and fine-tune open-source models without managing infrastructure |
| Verdict | recommended | recommended |
Feature Checklist
| Feature | Dify | Together AI |
|---|---|---|
| Visual prompt engineering | — | |
| RAG pipeline builder | — | |
| Agent frameworks | — | |
| Multi-model support | — | |
| Self-hosting option | — | |
| API for all apps | — | |
| Wide open-source model selection | — | |
| Custom fine-tuning | — | |
| Serverless inference | — | |
| Dedicated endpoints | — | |
| Multi-modal models | — | |
| Competitive pricing | — |
Dify
Pros
- ✓Open-source and self-hostable
- ✓Visual development reduces time
- ✓Multi-model support
- ✓Good RAG pipeline
Cons
- ✕Visual approach limits advanced use cases
- ✕Documentation gaps
- ✕Cloud pricing can scale
Together AI
Pros
- ✓Wide model selection
- ✓Good fine-tuning platform
- ✓Competitive pricing
- ✓Dedicated endpoint option
Cons
- ✕Open-source models only
- ✕Fine-tuning has learning curve
- ✕Pricing varies by model
The Bottom Line
Both Dify and Together AI are solid tools in the Developer Tools space. Dify edges ahead with a stronger overall rating (4.9 vs 4.2) and is the better choice for teams building llm-powered applications who want a visual development platform. However, if you prioritize ai teams that want to run and fine-tune open-source models without managing infrastructure, Together AI is worth serious consideration. We recommend trying the free tier or trial of each before committing.