Machine Learning · head to head
LlamaIndex vs Weka
The short version
- Each has a real cost: LlamaIndex the free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- They diverge on capability: LlamaIndex covers Data connectors, Weka covers Classification.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which LlamaIndex and Weka actually diverge.
| Attribute | LlamaIndex | Weka |
|---|---|---|
| Pricing model | usage-based | open-source |
| Founded | 2022 | 1993 |
Identical on both: starting price (Free), free tier (Yes), platforms (Linux, Mac, Windows), user rating (Not yet rated), category (Machine Learning).
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 LlamaIndex
- Data connectors
- Indexing
- Query engine
- RAG pipelines
- Agents
- OpenAI
- Anthropic
- Pinecone
Only in Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
- Python
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
LlamaIndex
- Parsing PDFs and complex documents into structured text for RAGnot Weka
- Building retrieval augmented generation pipelines over private datanot Weka
- Indexing and querying enterprise documents from an LLM applicationnot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot LlamaIndex
- Running data mining experiments and preprocessing without writing codenot LlamaIndex
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Weka
- The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
- Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture
Pricing, plan by plan
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
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Which should you pick?
Choose LlamaIndex if
- You need data connectors.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want indexing.
Choose Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Questions people ask
- Is LlamaIndex or Weka better?
- Neither clearly leads. LlamaIndex starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LlamaIndex or Weka?
- LlamaIndex starts at Free and Weka at Free.
- Does LlamaIndex or Weka run on more platforms?
- Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
- Can I use LlamaIndex for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is LlamaIndex best used for?
- LlamaIndex is most often used for parsing pdfs and complex documents into structured text for rag, building retrieval augmented generation pipelines over private data, indexing and querying enterprise documents from an llm application. Of those, parsing pdfs and complex documents into structured text for rag and building retrieval augmented generation pipelines over private data are not what Weka is typically brought in for.
- What can LlamaIndex do that Weka cannot?
- LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines. Weka covers Classification, Regression, Clustering, Association rules. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
LlamaIndex: 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.
SourceWeka: What is the cost of Weka software?
Weka is provided at no cost as open-source software released under the GNU General Public License, making it freely available for download and use.
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.
SourceWeka: Are there commercial licensing options available?
Yes, the project offers information about commercial licenses for organizations requiring non-GPL terms, which can be found in their commercial applications documentation.
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.
SourceWeka: What support resources are available to users?
Multiple support avenues exist including comprehensive documentation, frequently asked questions, dedicated help resources, and access to courses for learning the platform.
SourceWeka: Is source code access provided?
Yes, developers have full access to source code through the Git repository, along with development documentation and code credits for contributors.
SourceRelated pages
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