LlamaIndex vs Mastra: Which is Better in 2026?
A comprehensive comparison of LlamaIndex and Mastra covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose LlamaIndex if:
- →You want more affordable paid plans (from $97/mo)
- →You need a broader feature set (8 features vs 6)
- →You need document loaders for 100+ formats (pdf, word, notion, confluence) or advanced chunking and indexing strategies
- →Your primary focus is coding & development
Choose Mastra if:
- →You need agents, tools, and workflows as typescript primitives or built-in observability: traces, metrics, and logs
- →Your primary focus is ai agent infrastructure
ChatGPT already recommends LlamaIndex or Mastra. Does it recommend yours?
If you're building an AI tool, run a free AI-visibility scan on your own product — we ask ChatGPT across 5 prompt angles and score how often you get named. ~30 seconds, no signup, no card.
LlamaIndex vs Mastra: At a Glance
Pricing Comparison: LlamaIndex vs Mastra
Understanding the pricing differences between LlamaIndex and Mastra is crucial for making the right choice. Here's how their plans compare side by side.
Mastra Pricing
💡 Pricing takeaway: Both LlamaIndex and Mastra offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from LlamaIndex and Mastra stacks up.
What Makes Each Tool Unique
🔵 Unique to LlamaIndex
Features available in LlamaIndex but not in Mastra:
- ✓Document loaders for 100+ formats (PDF, Word, Notion, Confluence)
- ✓Advanced chunking and indexing strategies
- ✓Vector store integrations (Pinecone, Weaviate, Qdrant, etc.)
- ✓Query engines with sub-question decomposition
- ✓Knowledge graph indexing (KnowledgeGraph Index)
- ✓Multi-document agents
- ✓LlamaCloud: managed parsing and indexing
- ✓Evaluation toolkit for RAG pipelines
🟣 Unique to Mastra
Features available in Mastra but not in LlamaIndex:
- ✓Agents, tools, and workflows as TypeScript primitives
- ✓Built-in observability: traces, metrics, and logs
- ✓Evals, experiments, scorers, and datasets
- ✓Studio for collaborative iteration on agents
- ✓Server product for cloud deployment
- ✓Extensive learning material — course, books, templates, workshops
Use Case Recommendations
Best for: LlamaIndex
LlamaIndex (formerly GPT Index) is the leading data framework for LLM applications, specializing in connecting large language models to any data source. Where LangChain covers general agent orchestration, LlamaIndex excels at data ingestion, indexing, and retrieval — making it the go-to for enterprise RAG, document Q&A, and knowledge graph applications. LlamaCloud provides managed indexing infrastructure for production deployments.
Ideal use cases:
- •Teams or individuals who need document loaders for 100+ formats (pdf, word, notion, confluence)
- •Teams or individuals who need advanced chunking and indexing strategies
- •Teams or individuals who need vector store integrations (pinecone, weaviate, qdrant, etc.)
- •Teams or individuals who need query engines with sub-question decomposition
- •Anyone focused on llamaindex workflows
- •Anyone focused on rag workflows
Best for: Mastra
Mastra is a TypeScript framework for building AI agents and the applications around them, built by the team that previously created Gatsby. The core framework covers agents, tools, and workflows as first-class primitives, so a long-running agent is expressed in ordinary TypeScript rather than assembled from prompt strings and glue code. Around that framework sits a platform: observability with metrics, logs, and traces so agent runs are inspectable after the fact; evals, experiments, scorers, and datasets for measuring whether a change actually improved behavior; a Studio for collaborating on and iterating over agents; an Agent Builder; and a Server product that handles cloud deployment for agents. The company emphasizes agents that run for days rather than single-turn calls, which is what pushes the observability and scoring surface to the center of the product instead of leaving it as an add-on. Mastra is open source with roughly 26.7k GitHub stars and maintains a substantial learning surface — a quickstart, project templates, a video course, two books (Principles of Building AI Agents and Patterns of Building AI Agents), live workshops, and a weekly podcast — which makes it one of the more approachable entry points for JavaScript developers moving into agent work.
Ideal use cases:
- •Teams or individuals who need agents, tools, and workflows as typescript primitives
- •Teams or individuals who need built-in observability: traces, metrics, and logs
- •Teams or individuals who need evals, experiments, scorers, and datasets
- •Teams or individuals who need studio for collaborative iteration on agents
- •Anyone focused on typescript workflows
- •Anyone focused on agent framework workflows
💻 Other Coding & Development Tools to Consider
LlamaIndex and Mastra aren't the only options. Here are other popular tools in the same space:
Cursor
AI-first code editor with powerful inline generation
GitHub Copilot
AI pair programmer for code suggestions
Windsurf
AI-native IDE with autonomous coding agents
v0
Generate React UI components from text prompts
Bolt
AI full-stack app builder with instant preview
Devin
Autonomous AI software engineer for full projects
Is one of these your tool?
This page ranks for "LlamaIndex vs Mastra" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing to get a Featured badge, top placement in your category, and a permanent dofollow backlink — from $19/mo, cancel anytime.
Frequently Asked Questions
Is LlamaIndex better than Mastra?
It depends on your needs. LlamaIndex offers 8 key features including Document loaders for 100+ formats (PDF, Word, Notion, Confluence) and Advanced chunking and indexing strategies, while Mastra provides 6 features including Agents, tools, and workflows as TypeScript primitives and Built-in observability: traces, metrics, and logs. LlamaIndex uses a open-source model with a free tier, while Mastra is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is LlamaIndex cheaper than Mastra?
Both tools are similarly priced, starting at $97/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use LlamaIndex and Mastra together?
Yes, many users combine LlamaIndex and Mastra in their workflow. LlamaIndex excels at document loaders for 100+ formats (pdf, word, notion, confluence), while Mastra shines with agents, tools, and workflows as typescript primitives. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between LlamaIndex and Mastra?
LlamaIndex is primarily a coding & development tool focused on leading data framework for llms — rag, document q&a, and knowledge retrieval, while Mastra focuses on ai agent infrastructure with typescript agent framework with observability, evals, and cloud deployment, from the creators of gatsby. They serve different primary use cases despite being alternatives.
Learn More
📬 Get the best new AI tools delivered weekly
One concise email with fresh launches, trending picks, and featured standouts.