AI · head to head
AutoGen vs LlamaIndex
The short version
- Each has a real cost: AutoGen framework now in maintenance mode, no new features planned; LlamaIndex the free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out
- They diverge on capability: AutoGen covers Multi-agent orchestration, LlamaIndex covers Data connectors.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which AutoGen and LlamaIndex actually diverge.
| Attribute | AutoGen | LlamaIndex |
|---|---|---|
| Pricing model | Open source, no pricing | usage-based |
| Platforms | Python, .NET | Linux, Mac, Windows |
| Category | AI | Machine Learning |
| Founded | Unknown | 2022 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in AutoGen
- Multi-agent orchestration
- Message passing API
- AgentChat API
- Extensions API
- MCP server support
- AutoGen Studio
- Cross-language support
- Observable agent networks
Only in LlamaIndex
- Data connectors
- Indexing
- Query engine
- RAG pipelines
- Agents
- OpenAI
- Anthropic
- Pinecone
What people use each for
The jobs each tool is most often brought in to do.
AutoGen
- Building multi-agent conversational systemsnot LlamaIndex
- Rapid prototyping of agent applicationsnot LlamaIndex
- Research on agentic AI patterns and architecturesnot LlamaIndex
- Distributed agent networks across boundariesnot LlamaIndex
LlamaIndex
- Parsing PDFs and complex documents into structured text for RAGnot AutoGen
- Building retrieval augmented generation pipelines over private datanot AutoGen
- Indexing and querying enterprise documents from an LLM applicationnot AutoGen
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
AutoGen
- Framework now in maintenance mode, no new features planned
- Steeper learning curve for advanced use cases
- Microsoft recommends new projects use Agent Framework instead
- Limited to Python and .NET platforms
LlamaIndex
- The free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out
- Concurrent parse jobs are capped at 5 on Free and Starter, 20 on Pro and 100 on Enterprise
- Pay as you go spend is capped at $500 per month on Starter and $5,000 per month on Pro
- Enterprise SSO is Enterprise plan only
- Volume discounts on credits and 5x higher rate limits are Enterprise only
- SaaS or hybrid cloud deployment choice and a dedicated account manager are Enterprise only
- Enterprise pricing is by quote with no published rate
Pricing, plan by plan
AutoGen
Free- Open SourceFree
- MIT and CC-BY-4.0 licenses
- Full framework access
- Community support
LlamaIndex
Free- FreeFree
- 10K monthly credits
- Basic parsing
- 5 concurrent jobs
- Starter$50/month
- 40K credits + pay-as-you-go
- Up to 400K credits
- 5 concurrent jobs
- Pro$500/month
- 400K credits + limited-time bonus
- 20 concurrent jobs
- Priority Slack support
- Enterprise$null/custom
- Custom volume discounts
- 5x higher rate limits
- SSO
Which should you pick?
Choose AutoGen if
- You need multi-agent orchestration.
- You want to start without paying.
- You work on Python, .NET.
- You also want message passing api.
Choose LlamaIndex if
- You need data connectors.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want indexing.
Questions people ask
- Is AutoGen or LlamaIndex better?
- Neither clearly leads. AutoGen starts at Free and LlamaIndex at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AutoGen or LlamaIndex?
- AutoGen starts at Free and LlamaIndex at Free.
- Does AutoGen or LlamaIndex run on more platforms?
- AutoGen runs on Python, .NET. LlamaIndex runs on Linux, Mac, Windows.
- Can I use AutoGen for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is AutoGen best used for?
- AutoGen is most often used for building multi-agent conversational systems, rapid prototyping of agent applications, research on agentic ai patterns and architectures, distributed agent networks across boundaries. Of those, building multi-agent conversational systems and rapid prototyping of agent applications are not what LlamaIndex is typically brought in for.
- What can AutoGen do that LlamaIndex cannot?
- AutoGen covers Multi-agent orchestration, Message passing API, AgentChat API, Extensions API. LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines.
Answered from the vendors’ own pages
AutoGen: Is AutoGen still actively developed?
As of March 2026, AutoGen is in maintenance mode and will not receive new features. Microsoft recommends new projects use the Microsoft Agent Framework instead.
SourceLlamaIndex: How much does LlamaIndex (LlamaParse) cost?
LlamaIndex offers a Free plan with 10K monthly credits at $0/month. The Starter plan is $50/month for 40K credits plus pay-as-you-go overage up to 400K total. The Pro plan is $500/month for 400K credits. Credits are priced at 1,000 credits for $1.25.
SourceAutoGen: Can I still use AutoGen for new projects?
While AutoGen is stable and maintained for existing projects, Microsoft recommends using the Microsoft Agent Framework for new development.
SourceLlamaIndex: Is LlamaIndex free?
Yes, LlamaIndex offers a free plan with 10K monthly credits, basic parsing, 5 concurrent jobs, and support for up to 100 users with no upfront payment required.
SourceAutoGen: What LLM providers does AutoGen support?
AutoGen includes extensions for OpenAI and Azure OpenAI through its Extensions API, with community support for other providers.
SourceLlamaIndex: What are LlamaIndex's concurrent job limits?
The Free and Starter plans allow 5 concurrent jobs. The Pro plan increases this to 20 concurrent jobs. Enterprise plans offer custom configurations with 5x higher rate limits.
SourceRelated pages
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