Software · head to head
OpenAI API vs JMP
OpenAI API
Software
GPT and DALL-E APIs for developers
- From
- $0.15/per-million-tokens
- Rated
- -
The short version
- Only JMP has a free tier, so it costs nothing to try first.
- Each has a real cost: OpenAI API new accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers; JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
- They diverge on capability: OpenAI API covers GPT models, JMP covers Interactive statistics.
Where they differ
Only the attributes on which OpenAI API and JMP actually diverge.
| Attribute | OpenAI API | JMP |
|---|---|---|
| Starting price | $0.15/per-million-tokens | Free |
| Pricing model | usage-based | subscription |
| Free tier | No | Yes |
| Platforms | Api | Mac, Windows |
| Founded | 2015 | 1976 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 OpenAI API
- GPT models
- DALL-E
- Whisper
- Embeddings
- REST API
- SDKs
- Azure OpenAI
- Api support
Only in JMP
- Interactive statistics
- Dynamic visualization
- Design of experiments
- Predictive modeling
- Quality control
- SAS
- Python
- R
What people use each for
The jobs each tool is most often brought in to do.
OpenAI API
- Calling hosted language models from an applicationnot JMP
- Generating images, audio and embeddings through one APInot JMP
- Building agents and tool calling workflows on managed modelsnot JMP
JMP
- Machine learningnot OpenAI API
- Data analysisnot OpenAI API
- Model trainingnot OpenAI API
- Predictive analyticsnot OpenAI API
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenAI API
- New accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers
- Reaching the top Tier 5 monthly cap of $200,000 requires $1,000 of cumulative paid usage
- Rate limits apply simultaneously across requests per minute, requests per day, tokens per minute, tokens per day and images per minute, and the first one hit blocks the request
- API access is restricted to approved geographies
JMP
- The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
Pricing, plan by plan
OpenAI API
$0.15/per-million-tokens- GPT-4o mini$0.15/per-million-input-tokens
- Fast
- Affordable
- GPT-4o$5/per-million-input-tokens
- Multimodal
- 128K context
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Which should you pick?
Choose JMP if
- You need interactive statistics.
- You want to start without paying.
- You work on Mac, Windows.
- You also want dynamic visualization.
Questions people ask
- Is OpenAI API or JMP better?
- Neither clearly leads. OpenAI API starts at $0.15/per-million-tokens and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, OpenAI API or JMP?
- JMP has a free tier; the other does not. Paid plans start at $0.15/per-million-tokens for OpenAI API and Free for JMP.
- Does OpenAI API or JMP run on more platforms?
- OpenAI API runs on Api. JMP runs on Mac, Windows.
- Can I use JMP for free?
- Yes. JMP has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
- What is OpenAI API best used for?
- OpenAI API is most often used for calling hosted language models from an application, generating images, audio and embeddings through one api, building agents and tool calling workflows on managed models. Of those, calling hosted language models from an application and generating images, audio and embeddings through one api are not what JMP is typically brought in for.
- What can OpenAI API do that JMP cannot?
- OpenAI API covers GPT models, DALL-E, Whisper, Embeddings. JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling.