Machine Learning · head to head
LlamaIndex vs Minitab

Minitab
Machine Learning
Statistical software for quality engineering, and the tool Six Sigma training is written around
- From
- $2394/year
- Rated
- -
The short version
- Only LlamaIndex has a free tier, so it costs nothing to try first.
- 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; Minitab licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
- They diverge on capability: LlamaIndex covers Data connectors, Minitab covers Control charts.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which LlamaIndex and Minitab actually diverge.
| Attribute | LlamaIndex | Minitab |
|---|---|---|
| Starting price | Free | $2394/year |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Linux, Mac, Windows | Mac, Windows, Web |
| Founded | 2022 | 1972 |
Identical on both: 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 Minitab
- Control charts
- Process capability analysis
- Measurement systems analysis
- Design of experiments
- Classical statistics
- Assistant
- Predictive Analytics module
- Desktop and browser access
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 Minitab
- Building retrieval augmented generation pipelines over private datanot Minitab
- Indexing and querying enterprise documents from an LLM applicationnot Minitab
Minitab
- Six Sigma and process improvement projects where the training materials and internal procedures already assume Minitabnot LlamaIndex
- Producing capability and gage studies as evidence for a customer audit or a regulatory submissionnot LlamaIndex
- Design of experiments on a production process, run by an engineer who will not be writing codenot LlamaIndex
- Quality departments that need credible statistics without hiring a statistician or a data scientistnot 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
Minitab
- Licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
- Analyses are recorded as a project file and a session log rather than as code, so reviewing what somebody did means reading output instead of reading a script, and reproducing it a year later depends on the same version still being installed.
- The machine learning capability is a separately licensed module with a fixed set of tree-based methods, so it is neither included in the base price nor competitive with what a Python user has for nothing.
- There is no deployment path in the statistical product, so putting a model into a running process means buying Minitab Model Ops as another product or reimplementing the model somewhere else entirely.
- Data handling is worksheet-shaped and held in memory, so anything past a few million rows means preparing the extract in another tool first, and joins and reshaping are clumsy compared with SQL or pandas.
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
Minitab
$2394/year- Solution Center Core$2394/year
- Marked as Most Popular
- Best for quality professionals
- Minitab Dashboards
- Solution Center Analytics$2593.5/year
- Best for analytics professionals
- Includes predictive analytics capabilities
- Minitab Dashboards
- Solution Center Copilot$2793/year
- All-in-one platform for operational excellence
- Includes AI-powered insights
- Minitab Dashboards
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 Minitab if
- You need control charts.
- You work on Mac, Windows, Web.
- You also want process capability analysis.
Questions people ask
- Is LlamaIndex or Minitab better?
- Neither clearly leads. LlamaIndex starts at Free and Minitab at $2394/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LlamaIndex or Minitab?
- LlamaIndex has a free tier; the other does not. Paid plans start at Free for LlamaIndex and $2394/year for Minitab.
- Does LlamaIndex or Minitab run on more platforms?
- LlamaIndex runs on Linux, Mac, Windows. Minitab runs on Mac, Windows, Web.
- Can I use LlamaIndex for free?
- Yes. LlamaIndex has a free tier, so you can try it without paying. Minitab starts at $2394/year.
- 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 Minitab is typically brought in for.
- What can LlamaIndex do that Minitab cannot?
- LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines. Minitab covers Control charts, Process capability analysis, Measurement systems analysis, Design of experiments.
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.
SourceMinitab: Does Minitab run on macOS?
The installed desktop application is Windows. Mac users work through the browser version, which is included with the subscription but is not identical in every feature.
LlamaIndex: 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.
SourceMinitab: Is it machine learning software?
Not primarily. It is a statistics package for quality and process work. Predictive modelling exists in a separate Predictive Analytics module and is limited to tree-based methods.
LlamaIndex: 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.
SourceMinitab: Can I buy a perpetual licence?
The current offer is subscription based. Older perpetual licences exist in the field but are not the way the product is sold now.
Minitab: What is the difference between Minitab and Minitab Workspace or Engage?
Minitab Statistical Software does the analysis. Workspace and Engage are separate products for process mapping, project management and improvement programme governance, and are licensed separately.
Minitab: Can I automate it?
Only to a limited degree. There is a command language and integration options, but it is designed to be driven by a person through menus, not scheduled in a pipeline.
Related pages
Other head to heads
- LlamaIndex vs Haystack
- LlamaIndex vs Google Vertex AI
- LlamaIndex vs AWS SageMaker
- LlamaIndex vs DataRobot
- LlamaIndex vs Azure Machine Learning
- LlamaIndex vs LangChain
- LlamaIndex vs Pinecone
- LlamaIndex vs H2O.ai
- LlamaIndex vs Hugging Face
- LlamaIndex vs Ray
- LlamaIndex vs MATLAB
- LlamaIndex vs Palantir Foundry
- LlamaIndex vs Python
- LlamaIndex vs PyTorch
- LlamaIndex vs scikit-learn
- LlamaIndex vs Apache Spark MLlib
- LlamaIndex vs Semantic Kernel
- LlamaIndex vs JMP
- LlamaIndex vs Stata
- LlamaIndex vs IBM SPSS
- LlamaIndex vs TensorBoard
- LlamaIndex vs Databricks
- LlamaIndex vs Weaviate
- LlamaIndex vs Weights & Biases
- LlamaIndex vs SAS
- LlamaIndex vs MLflow
- Minitab vs Haystack
- Minitab vs Google Vertex AI
- Minitab vs AWS SageMaker
- Minitab vs DataRobot
- Minitab vs Azure Machine Learning
- Minitab vs LangChain
- Minitab vs Pinecone
- Minitab vs H2O.ai
- Minitab vs Hugging Face
- Minitab vs Ray
- Minitab vs MATLAB
- Minitab vs Palantir Foundry
- Minitab vs Python
- Minitab vs PyTorch
- Minitab vs scikit-learn
- Minitab vs Apache Spark MLlib
- Minitab vs Semantic Kernel
- Minitab vs JMP
- Minitab vs Stata
- Minitab vs IBM SPSS
- Minitab vs TensorBoard
- Minitab vs Databricks
- Minitab vs Weaviate
- Minitab vs Weights & Biases
- Minitab vs SAS
- Minitab vs MLflow

