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AI · head to head

AI21 Labs vs JMP

AI21 Labs logo

AI21 Labs

AI

Enterprise language AI solutions

From
Free
Free plan
Yes
Full reviewWebsite
JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: AI21 Labs the free allowance is $10 of credit lasting 7 days rather than an ongoing free tier; 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.
  • They diverge on capability: AI21 Labs covers Jamba models, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which AI21 Labs and JMP actually diverge.

Attributes where AI21 Labs and JMP differ
AttributeAI21 LabsJMP
Pricing modelusage-basedsubscription
PlatformsApi, CloudMac, Windows
CategoryAIMachine Learning
Founded20171976

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 AI21 Labs

  • Jamba models
  • Long context
  • RAG engine
  • Writing tools
  • REST API
  • Amazon Bedrock
  • Cloud platforms
  • Api support

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.

AI21 Labs

  • Running long-context tasks on the Jamba model familynot JMP
  • Building and optimising production AI agents with Maestronot JMP
  • Routing between models to control cost and accuracynot JMP
  • Long-horizon agentic tasks needing stateful workspacesnot 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 AI21 Labs
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot AI21 Labs
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot AI21 Labs
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot AI21 Labs

Where each one falls short

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

AI21 Labs

  • The free allowance is $10 of credit lasting 7 days rather than an ongoing free tier
  • Jamba Large is $2 per million input tokens and $8 per million output, so output-heavy work costs four times as much as input
  • Volume discounts, private cloud hosting and higher rate limits require a custom plan
  • Standard rate limits are not published

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

AI21 Labs

Free
  • Free TrialFree
    • 10 USD credits
    • 7-day trial period
    • No credit card required
  • Pay As You Go$undefined/mo
    • Usage-based pricing model
    • Access to all Foundation model APIs and SDK
    • Unlimited seats
  • Custom Plan$undefined/mo
    • Volume discounts on token pricing
    • Premium API rate limits
    • Private cloud hosting option

JMP

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

Which should you pick?

Choose AI21 Labs if

  • You need jamba models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want long context.
AI21 Labs review

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

Questions people ask

Is AI21 Labs or JMP better?
Neither clearly leads. AI21 Labs starts at Free and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AI21 Labs or JMP?
AI21 Labs starts at Free and JMP at Free.
Does AI21 Labs or JMP run on more platforms?
AI21 Labs runs on Api, Cloud. JMP runs on Mac, Windows.
Can I use AI21 Labs for free?
Both have a free tier, so you can try either at no cost before committing.
What is AI21 Labs best used for?
AI21 Labs is most often used for running long-context tasks on the jamba model family, building and optimising production ai agents with maestro, routing between models to control cost and accuracy, long-horizon agentic tasks needing stateful workspaces. Of those, running long-context tasks on the jamba model family and building and optimising production ai agents with maestro are not what JMP is typically brought in for.
What can AI21 Labs do that JMP cannot?
AI21 Labs covers Jamba models, Long context, RAG engine, Writing tools. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

AI21 Labs: How much do AI21's Jamba Mini and Jamba Large models cost?

Jamba Mini costs $0.2 per 1M input tokens and $0.4 per 1M output tokens. Jamba Large is priced at $2 per 1M input tokens and $8 per 1M output tokens. Both models use usage-based billing with no monthly minimums.

Source
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.

AI21 Labs: Does AI21 offer a free trial?

Yes, AI21 provides a free trial with 10 USD in credits for 7 days, no credit card required. The trial grants access to all Foundation models via API and SDK.

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.

AI21 Labs: How do AI21's custom plans and volume discounts work?

Custom plans with volume discounts are available for enterprises but require contacting sales. These plans can include premium API rate limits, private cloud hosting, priority support, dedicated account managers, and expert consultancy.

Source
JMP: Does it run on Linux?

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

AI21 Labs: What does AI21 mean by 30% token efficiency savings?

AI21 claims their tokenization delivers approximately 30% more text per token compared to other providers, which can reduce effective costs by roughly 30%. This applies primarily to English-language text averaging 1 word or 6 characters per token.

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.

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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