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Vercel AI SDK vs LangGraph
Vercel AI SDK vs LangGraph: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
Vercel AI SDK vs LangGraph : buying comparison
This comparison helps choose between Vercel AI SDK and LangGraph by pricing, use case, models, integration, privacy and governance.
Budget: Vercel AI SDK · Open source + provider usage. Rating: LangGraph · 4.6/5.
| Criteria | Vercel AI SDK | LangGraph |
|---|---|---|
| Price | Open source + provider usage | Open source / platform |
| Best for | Building streaming AI applications and agents in modern web frameworks | Building reliable stateful agents, multi-agent graphs and long-running workflows |
| Models | Text generation, chat, tools, structured output, streaming UI, agents and multi-provider model access | State graphs, durable execution, streaming workflows, human-in-the-loop and agent orchestration |
| Privacy | Open-source SDK runs in your app; privacy follows the selected model provider and deployment target | MIT open-source framework for local use; hosted platform and enterprise controls depend on LangSmith plan |
| Rating | 4.5/5 | 4.6/5 |
Frequently asked questions
Vercel AI SDK or LangGraph: which one should you choose?
Choose Vercel AI SDK if entry budget is the priority. Choose LangGraph if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do Vercel AI SDK and LangGraph cover the same need?
Not exactly. Compare the real workflow: IDE, terminal, governance, code review or app generation.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.