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Machine Learning · head to head

JMP vs Poe

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Free plan
Yes
Full reviewWebsite
Poe logo

Poe

AI

Chat platform that gives access to many AI models from one subscription

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Poe points-based pricing makes cost per message hard to predict across models.
  • They diverge on capability: JMP covers Custom design of experiments, Poe covers Multi-model chat.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Poe actually diverge.

Attributes where JMP and Poe differ
AttributeJMPPoe
Pricing modelsubscriptionfreemium
PlatformsMac, Windowsweb, ios, android, windows, mac
CategoryMachine LearningAI
Founded19762009

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 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

Only in Poe

  • Multi-model chat
  • Custom bots
  • Image and video generation
  • Points-based usage
  • API access for bot creators

What people use each for

The jobs each tool is most often brought in to do.

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 Poe
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Poe
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Poe
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Poe

Poe

  • Comparing responses across multiple AI modelsnot JMP
  • Building and sharing custom prompt-based botsnot JMP
  • Accessing premium models without separate subscriptionsnot JMP
  • Generating images or video from a chat interfacenot JMP

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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.

Poe

  • Points-based pricing makes cost per message hard to predict across models.
  • Heavy usage of top-tier models can exhaust points quickly on lower plans.
  • No native fine-tuning or persistent long-term memory across bots.
  • Custom bots are limited to prompt engineering rather than full agent tooling.

Pricing, plan by plan

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Poe

Free
  • FreeFree
    • Limited daily messages across select models
  • Starter$4.99/month
    • Monthly compute points
    • Access to premium models
  • Premium$19.99/month
    • Larger monthly point allowance
    • Priority access to premium models
  • Premium Plus$49.99/month
    • Higher point allowance for heavy usage

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.
JMP review

Choose Poe if

  • You need multi-model chat.
  • You want to start without paying.
  • You work on web, ios, android, windows, mac.
  • You also want custom bots.
Poe review

Questions people ask

Is JMP or Poe better?
Neither clearly leads. JMP starts at Free and Poe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Poe?
JMP starts at Free and Poe at Free.
Does JMP or Poe run on more platforms?
JMP runs on Mac, Windows. Poe runs on web, ios, android, windows, mac.
Can I use JMP for free?
Both have a free tier, so you can try either at no cost before committing.
What is JMP best used for?
JMP is most often used for 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 have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Of those, 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 have and process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator are not what Poe is typically brought in for.
What can JMP do that Poe cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Poe covers Multi-model chat, Custom bots, Image and video generation, Points-based usage.

Answered from the vendors’ own pages

JMP: 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.

Poe: How does Poe's pricing work?

Poe uses a monthly points system: each subscription tier grants a pool of compute points that are spent per message, with the amount depending on which underlying AI model is used.

Source
JMP: 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.

Poe: Is there a free plan on Poe?

Yes, Poe offers a free tier with limited daily messages across a selection of models before users need a paid subscription for more access.

Source
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

Poe: What do the paid subscription tiers cost?

Poe offers Starter at $4.99/month, Premium at $19.99/month, and Premium Plus at $49.99/month, each granting a larger monthly pool of compute points.

Source
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.

Poe: What happens if I run out of points?

Once a subscription's monthly point allowance is exhausted, further use of premium models is limited until the points refresh or the user upgrades or purchases more.

Source
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.

Poe: Can developers build on Poe?

Yes, Poe lets creators build and publish custom bots, and developers can connect their own model endpoints as bots via Poe's API.

Source
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