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OpenAI API vs Apache Spark MLlib

OpenAI API logo

OpenAI API

Software

GPT and DALL-E APIs for developers

From
$0.15/per-million-tokens
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Software

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Apache Spark MLlib 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; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: OpenAI API covers GPT models, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which OpenAI API and Apache Spark MLlib actually diverge.

Attributes where OpenAI API and Apache Spark MLlib differ
AttributeOpenAI APIApache Spark MLlib
Starting price$0.15/per-million-tokensFree
Pricing modelusage-basedopen-source
Free tierNoYes
PlatformsApiLinux, macOS, Windows
Founded20151999

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 Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

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 Apache Spark MLlib
  • Generating images, audio and embeddings through one APInot Apache Spark MLlib
  • Building agents and tool calling workflows on managed modelsnot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot OpenAI API
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot OpenAI API
  • Clustering with K-means and Gaussian Mixture Modelsnot 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

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

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

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

Which should you pick?

Choose OpenAI API if

  • You need gpt models.
  • You work on Api.
  • You also want dall-e.
OpenAI API review

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is OpenAI API or Apache Spark MLlib better?
Neither clearly leads. OpenAI API starts at $0.15/per-million-tokens and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, OpenAI API or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at $0.15/per-million-tokens for OpenAI API and Free for Apache Spark MLlib.
Does OpenAI API or Apache Spark MLlib run on more platforms?
OpenAI API runs on Api. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Apache Spark MLlib for free?
Yes. Apache Spark MLlib 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 Apache Spark MLlib is typically brought in for.
What can OpenAI API do that Apache Spark MLlib cannot?
OpenAI API covers GPT models, DALL-E, Whisper, Embeddings. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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