Models & Routing

Choosing, comparing and routing between LLMs.

14 posts

Aug 18, 2026Blog

AI SDK v7 support in Mastra

Image generation, reasoning control, multimodal prompts, stream handlers, and UI helpers.

Aug 16, 2026Article

LLM vs generative AI: key differences and how to choose

LLM vs generative AI explained: how they differ in scope, architecture, and use cases, plus how to choose the right approach for your app.

Aug 15, 2026Article

Generative AI examples: real-world uses by industry

See generative AI examples across healthcare, finance, retail, and software, plus how developers build, evaluate, and ship gen AI apps.

Aug 8, 2026Article

Your open source LLM guide for 2026: models, benefits, and deployment

Compare the best open source LLM models in 2026, how licensing works, deployment tradeoffs, and how to evaluate and run open models in production.

Aug 7, 2026Article

Generative AI models: types and how they work

Learn what generative AI models are, the main types of generative AI models, how they work, and how to build and evaluate them in TypeScript.

Aug 6, 2026Article

Generative AI tools: what they are and how they work

Explore the main types of generative AI tools, real examples like ChatGPT and Gemini, and how developers build production apps with models, RAG, and evals

Aug 3, 2026Article

LLM leaderboard: how to read, compare, and use benchmark rankings

Learn how to read LLM leaderboards, compare benchmark scores across reasoning, coding, and safety, and run your own evals to pick the right model.

Jul 22, 2026Article

Generative AI vs predictive AI: What’s the difference?

Your guide to generative AI vs predictive AI: how each works, real use cases, tradeoffs, and how to choose the right approach.

Jun 22, 2026Article

AI gateway: one integration point for every provider

Learn what an AI gateway does, how it routes requests across providers, and how to implement one for cost control, observability, and reliability.

Oct 9, 2025Blog

Introducing Mastra Model Router: 600+ models, one API, zero package installs

Access 600+ LLM models from 40+ providers with a single string. Full TypeScript autocomplete turns your IDE into a model search engine.

Oct 6, 2025Blog

Migration Guide: VNext to Standard APIs

Learn how to migrate from Mastra’s VNext streaming methods to the new standard APIs, with details on renaming, compatibility, and key differences between AI SDK v4 and v5.

Oct 1, 2025Blog

Model fallbacks: Your safety net for production AI

Model fallbacks ensure your application stays online by automatically switching to backup models when your primary provider fails.

Aug 26, 2025Blog

Introducing Mastra's improved agent orchestration with AI SDK v5 support

Mastra now controls the agent loop and tool calling with increased orchestration capabilities—while maintaining backward compatibility with AI SDK v4 and v5.

Feb 13, 2025Blog

Using Vercel's AI SDK with Mastra

How Mastra enhances Vercel's AI SDK with agent primitives, RAG pipelines, and evaluation capabilities

Ship better agents

Create a new Mastra project. Mastra is a framework for AI applications and agents on a modern TypeScript stack. Before running the command, ask these questions one at a time and wait for each answer unless it was already provided:

Project name? (default: "my-mastra-app")
Provider? (required; options: "openai", "anthropic", "google", "xai")
If the provider isn't supported, ask again and list the supported values.

Run: `npm create mastra@latest <project-name> -- --llm <provider>`

The command creates a default Mastra project, installs Mastra skills for detected coding assistants, and initializes Git when appropriate.

After creation, enter the project directory and start the dev server: `npx bgproc start -n <project-name> -w -- npm run dev`

Open Mastra Studio at `http://localhost:4111`. Studio is the interface for building, testing, and managing agents, workflows, and tools.

Also mention that the Mastra model router provides access to thousands of models: https://mastra.ai/models

Quickstart