Mastra vs Vercel AI SDK

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-06
Cross-checked through our multi-step verification ·
Saved

Mastra or Vercel AI SDK: which should you choose?

DimensionMastraVercel AI SDK
PricingFree · from $250/moFree plan · usage-based paid tier
Best forTypeScript and Node teams shipping multi-step agents to production, Platform teams that want traces, evals, and scorers inside the frameworkTypeScript and JavaScript teams shipping production AI apps or agents, Next.js, React, Vue, Svelte, Nuxt, Angular, and Solid developers
Standout featuresTyped agents with id, name, instructions, model, and tools in one file · Model router string format (provider/model) across OpenAI, Anthropic, Google, and xAI · Durable workflows via createWorkflow().then() chaining and commit()Unified TypeScript API for text generation, structured objects, tool calls, and agents · Switch model providers by changing one model identifier string · Real-time streaming responses without custom parsing
Viability score87/10075/100
APIYesYes

Mastra is the stronger pick for typescript and node teams shipping multi-step agents to production; Vercel AI SDK fits better for typescript and javascript teams shipping production ai apps or agents.

Built from live tool data, last verified 2026-11-06.

Mastra
Mastra

TypeScript agent framework for building, observing, and improving agents that run for days

Visit Website
Vercel AI SDK
Vercel AI SDK

Open-source TypeScript AI SDK for streaming AI apps and agents with multi-model support and built-in fallbacks

Visit Website
Pricing
Freemium
Freemium
Plans
Free (Apache 2.0)Free
StarterFree
Teams$250/mo
EnterpriseCustom
Open Source SDKFree
Vercel AI GatewayUsage-based
Vercel SandboxUsage-based
WorkflowsUsage-based
Popularity
5.0k views
4.6k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
WebAPI
Categories
🕸️ Agent Frameworks & Orchestration📡 LLM Observability & Evals
📦 LLM App Frameworks & SDKs
FeaturesMastraVercel AI SDK
Typed agents with id, name, instructions, model, and tools in one file
Model router string format (provider/model) across OpenAI, Anthropic, Google, and xAI
Durable workflows via createWorkflow().then() chaining and commit()
Typed workflow steps with retries and branches
Human-in-the-loop suspension and tool approval inside workflows
AgentController harness for multi-mode agents with sessions and persistent threads
Memory with observational memory, semantic recall (topK), and thread-aware storage
Signals subscribe agent threads to webhook or polling events
Observability: traces, metrics, logs, evals, scorers, datasets, and experiments
Trace Queries surface slow or failed runs for coding agents to fix
Span Queries find the most common failure patterns in agent traces
Trace Imports and Thread View for inspecting existing trace history
Metrics API for cost, latency, and errors by agent, thread, or time window
MCP 2.0 support (protocol version 2026-07-28) and MCP Events for real-time server events
Studio SSO via WorkOS, Okta, Auth0, Clerk, or Google
Unified TypeScript API for text generation, structured objects, tool calls, and agents
Switch model providers by changing one model identifier string
Real-time streaming responses without custom parsing
Built-in provider fallbacks for reliable production behavior
AI SDK UI hooks for React, Next.js, Vue, Svelte, Nuxt, Angular, and Solid
Multi-step tool calling and automatic execution
Structured object generation with typed schemas
Text generation via the SDK and AI Playground
Image generation via the SDK and AI Playground
Speech generation and transcription
Video generation support
Vercel AI Gateway routing to 100+ models through one endpoint
Vercel Sandbox for running agent-generated code securely
Workflows for long-running agents that suspend, resume, and survive timeouts
AI Elements UI component registry installable via npx ai-elements
IntegrationsMastraVercel AI SDK
Linear
Notion
Slack
WorkOS
Okta
Auth0
Clerk
Google
OpenAI
Anthropic
Google Gemini
xAI
LibSQL
Postgres

Frequently Asked Questions

Which is better, Mastra or Vercel AI SDK?

The best choice between Mastra and Vercel AI SDK depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Mastra and Vercel AI SDK?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Mastra or Vercel AI SDK?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are Mastra and Vercel AI SDK compared with?

Where can you read more about Mastra and Vercel AI SDK?

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Analysis generated by our model pipeline from live data: