Machine Learning · head to head
Groq vs JMP
Groq
Machine Learning
Fast inference provider using proprietary LPU hardware for low-latency serving
- From
- On request
- Rated
- -
JMP
Machine Learning
Desktop statistical and design of experiments software from a SAS subsidiary
- From
- Free
- Rated
- -
The short version
- Only JMP has a free tier, so it costs nothing to try first.
- Each has a real cost: Groq pricing is not published and is sold entirely by quote, making cost comparison difficult; JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Groq and JMP actually diverge.
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 Groq
Nothing recorded that JMP does not also cover.
Only in JMP
- Custom design of experiments
- Linked interactive graphics
- Analysis platforms
- Quality and process tools
- Graph Builder
- JSL scripting
- Scoring code export
- Predictive modelling in JMP Pro
What people use each for
The jobs each tool is most often brought in to do.
Groq
- Latency-sensitive applications requiring sub-second inference response timesnot JMP
- High-volume inference workloads where cost per inference matters at scalenot JMP
- Custom model deployment with performance guaranteesnot JMP
- Enterprise applications seeking inference-specific infrastructurenot JMP
JMP
- Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot Groq
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Groq
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Groq
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Groq
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Groq
- Pricing is not published and is sold entirely by quote, making cost comparison difficult
- Limited to open-weight models; no proprietary model access through the platform
- Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic
JMP
- It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
- There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
- The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
- JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
- Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.
Pricing, plan by plan
Groq
On requestNo published plan breakdown. See the Groq review.
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Which should you pick?
Choose JMP if
- You need custom design of experiments.
- You want to start without paying.
- You work on Mac, Windows.
- You also want linked interactive graphics.
Questions people ask
- Is Groq or JMP better?
- Neither clearly leads. Groq starts at On request and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Groq or JMP?
- JMP has a free tier; the other does not. Paid plans start at On request for Groq and Free for JMP.
- Does Groq or JMP run on more platforms?
- Groq runs on API, Cloud. JMP runs on Mac, Windows.
- Can I use JMP for free?
- Yes. JMP has a free tier, so you can try it without paying. Groq starts at On request.
- What is Groq best used for?
- Groq is most often used for latency-sensitive applications requiring sub-second inference response times, high-volume inference workloads where cost per inference matters at scale, custom model deployment with performance guarantees, enterprise applications seeking inference-specific infrastructure. Of those, latency-sensitive applications requiring sub-second inference response times and high-volume inference workloads where cost per inference matters at scale are not what JMP is typically brought in for.
- What can Groq do that JMP cannot?
- JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.
Answered from the vendors’ own pages
Groq: Is Groq free or paid?
Pricing details are not published on the main website. To explore Groq's service and pricing, visit their console at console.groq.com/home.
SourceJMP: Is JMP the same thing as SAS?
No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.
Groq: Does Groq offer a free tier or free credits?
Free tier availability is not documented on the public site. Check the Groq console for current free tier or trial options.
SourceJMP: Do I need JMP Pro?
If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.
JMP: Does it run on Linux?
No. Windows and macOS only, as an installed application.
JMP: Can I put a JMP model into production?
Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.
JMP: Who actually uses it?
Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.
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