Mastra vs Vercel AI SDK
A side-by-side comparison of Mastra and Vercel AI SDK, two Orchestration tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Vercel AI SDK
OrchestrationTypeScript SDK for streaming, tool-calling, and structured outputs.
View Vercel AI SDKAt a glance
| Attribute | Mastra | Vercel AI SDK |
|---|---|---|
| Category | Orchestration | Orchestration |
| Pricing (differs) | FREEMIUM | FREE |
| License (differs) | Open core | Open source |
| Deployment (differs) | Hybrid | — |
| Platforms (differs) | API, CLI | API |
| Model support (differs) | Multi-model | Model-agnostic |
| Vendor (differs) | Mastra | Vercel |
| Capabilities (differs) |
|
|
The honest brief
Mastra
Built TypeScript-first on the Vercel AI SDK — far less boilerplate and faster runtime than LangGraph's abstractions.
- TypeScript-native, low boilerplate
- Graph workflow engine plus memory and tools
- Self-hostable or deploy to Mastra Cloud
- Built-in observability
- Younger ecosystem, fewer examples
- Small plugin set (~50-60 integrations)
- Workflow chaining unintuitive for complex branching
- TypeScript-only; no Python path
Vercel AI SDK
The de facto TypeScript AI SDK: provider-agnostic streaming and useChat hooks make swapping LLMs a one-line change.
- Provider-agnostic, swap models in one line
- React hooks (useChat) for chat UIs
- Generative UI / structured outputs
- Free and open source
- First-class Next.js integration
- TypeScript/JS ecosystem only
- Lighter on agent orchestration
- Tied to Vercel's release cadence
When to pick which
Vercel AI SDK leans on Tool / function calling as a headline capability; Mastra treats it as secondary.
- Tool / function calling (primary capability)
They also differ on:
- Pricing
- FREEMIUM · FREE
- License
- Open core · Open source
- Platforms
- API, CLI · API
Their capability lists differ in recorded depth — compare the full lists above before deciding.