Machine Learning · head to head
Mistral AI vs Stata

Mistral AI
Machine Learning
European AI lab with open models, API platform and Le Chat assistant
- From
- On request
- Rated
- -

Stata
Machine Learning
Data science software for research professionals
- From
- $48/year
- Rated
- -
The short version
- Each has a real cost: Mistral AI smaller model selection compared to OpenAI; Mistral Medium 3.5 significantly more expensive than competing mid-tier models; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Mistral AI and Stata actually diverge.
| Attribute | Mistral AI | Stata |
|---|---|---|
| Starting price | On request | $48/year |
| Pricing model | usage-based | subscription |
| Platforms | Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale) | Linux, Mac, Windows |
| Founded | Unknown | 1985 |
Identical on both: free tier (No), 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 Mistral AI
Nothing recorded that Stata does not also cover.
Only in Stata
- Statistical analysis
- Data management
- Graphics
- Econometrics
- Survey analysis
- Python
- ODBC
- Excel
What people use each for
The jobs each tool is most often brought in to do.
Mistral AI
- EU-regulated workloads requiring data residency outside USnot Stata
- Custom model training and domain-specific fine-tuningnot Stata
- Multi-modal document processing with OCRnot Stata
- Autonomous development with Vibe for Codenot Stata
Stata
- Statistical analysis and data analysisnot Mistral AI
- Econometric modelingnot Mistral AI
- Biostatistics and epidemiologynot Mistral AI
- Academic and research data analysisnot Mistral AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Mistral AI
- Smaller model selection compared to OpenAI; Mistral Medium 3.5 significantly more expensive than competing mid-tier models
- Batch processing only available at 50% discount, not free tier
- No free tier; all API access requires payment
Stata
- The entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- Raising the variable limit to 32,767 requires Stata/SE and 120,000 requires Stata/MP
- Stata/MP is licensed by core count, so 2 core and 4 core licences are priced separately
- Student licences require proof of enrolment at a degree granting institution
- Stata/MP is not sold on a 6 month student term
- Perpetual student licences cost several times the annual price, for example $298 against $94 for Stata/BE
Pricing, plan by plan
Mistral AI
On request- Mistral Small 4$0.15/per million input tokens
- Multimodal
- Multilingual
- Apache 2.0 license
- Mistral Small 4 output$0.6/per million output tokens
- Same model
- Mistral Large 3$0.5/per million input tokens
- General-purpose flagship
- Mistral Large 3 output$1.5/per million output tokens
- Same model
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
Which should you pick?
Choose Mistral AI if
- You work on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale).
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is Mistral AI or Stata better?
- Neither clearly leads. Mistral AI starts at On request and Stata at $48/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Mistral AI or Stata?
- Mistral AI starts at On request and Stata at $48/year.
- Does Mistral AI or Stata run on more platforms?
- Mistral AI runs on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale). Stata runs on Linux, Mac, Windows.
- What is Mistral AI best used for?
- Mistral AI is most often used for eu-regulated workloads requiring data residency outside us, custom model training and domain-specific fine-tuning, multi-modal document processing with ocr, autonomous development with vibe for code. Of those, eu-regulated workloads requiring data residency outside us and custom model training and domain-specific fine-tuning are not what Stata is typically brought in for.
- What can Mistral AI do that Stata cannot?
- Stata covers Statistical analysis, Data management, Graphics, Econometrics.
Answered from the vendors’ own pages
Mistral AI: How much does Mistral AI cost?
Mistral AI offers a free plan with 10 USD/month in API credits, Pro at 14.99 USD/month with 30 USD/month in credits, and Team at 24.99 USD per user/month with a 50 USD minimum.
SourceStata: How much does Stata cost?
Stata does not publish specific pricing on its website. Customers must use the 'Order Stata' or 'Request a quote' functions to obtain pricing. StataNow is available as a subscription option, but specific monthly or annual costs are not displayed publicly.
SourceMistral AI: Is there a free plan?
Yes, Mistral AI includes a free plan with 10 USD/month in API credits, Studio access, and 100+ connectors for limited use.
SourceStata: What are the differences between Stata editions?
Stata offers multiple editions including Stata/BE and Stata/MP, with different capabilities and performance characteristics. Edition selection affects pricing, but specific comparisons and costs require requesting a quote.
SourceMistral AI: What are the API costs?
API pricing is per million tokens for most models with input and output charged separately; OCR costs per 1,000 pages; speech models charged per minute.
SourceStata: Does Stata offer a subscription model?
Yes, StataNow is offered as a subscription option that delivers new features immediately upon release. However, specific pricing for StataNow subscriptions is not published on the website.
SourceRelated pages
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