Software · head to head
Azure Machine Learning vs OpenAI API
Azure Machine Learning
Software
Enterprise-grade machine learning service
- From
- Free
- Rated
- -

OpenAI API
Software
GPT and DALL-E APIs for developers
- From
- $0.15/per-million-tokens
- Rated
- -
The short version
- Only Azure Machine Learning has a free tier, so it costs nothing to try first.
- Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; OpenAI API new accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers
- They diverge on capability: Azure Machine Learning covers Automated ML, OpenAI API covers GPT models.
Where they differ
Only the attributes on which Azure Machine Learning and OpenAI API actually diverge.
| Attribute | Azure Machine Learning | OpenAI API |
|---|---|---|
| Starting price | Free | $0.15/per-million-tokens |
| Free tier | Yes | No |
| Platforms | Azure Cloud | Api |
| Founded | 1975 | 2015 |
Identical on both: pricing model (usage-based), 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 Azure Machine Learning
- Automated ML
- Designer (drag-and-drop)
- Notebooks
- MLOps
- Model registry
- Azure Blob Storage
- Azure DevOps
- Power BI
Only in OpenAI API
- GPT models
- DALL-E
- Whisper
- Embeddings
- REST API
- SDKs
- Azure OpenAI
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Azure Machine Learning
- Machine learningnot OpenAI API
- Data analysisnot OpenAI API
- Model trainingnot OpenAI API
- Predictive analyticsnot OpenAI API
OpenAI API
- Calling hosted language models from an applicationnot Azure Machine Learning
- Generating images, audio and embeddings through one APInot Azure Machine Learning
- Building agents and tool calling workflows on managed modelsnot Azure Machine Learning
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Azure Machine Learning
- Requires knowledge of Azure ecosystem and integration with other Azure services
- Compute resources for training and inference generate separate charges
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
Pricing, plan by plan
Azure Machine Learning
Free- Free TierFree
- Limited compute
- Basic features
- Pay-as-you-go$0.05/hour
- Full platform
- All compute options
- Enterprise features
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
Which should you pick?
Choose Azure Machine Learning if
- You need automated ml.
- You want to start without paying.
- You work on Azure Cloud.
- You also want designer (drag-and-drop).
Questions people ask
- Is Azure Machine Learning or OpenAI API better?
- Neither clearly leads. Azure Machine Learning starts at Free and OpenAI API at $0.15/per-million-tokens, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Azure Machine Learning or OpenAI API?
- Azure Machine Learning has a free tier; the other does not. Paid plans start at Free for Azure Machine Learning and $0.15/per-million-tokens for OpenAI API.
- Does Azure Machine Learning or OpenAI API run on more platforms?
- Azure Machine Learning runs on Azure Cloud. OpenAI API runs on Api.
- Can I use Azure Machine Learning for free?
- Yes. Azure Machine Learning has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
- What is Azure Machine Learning best used for?
- Azure Machine Learning is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what OpenAI API is typically brought in for.
- What can Azure Machine Learning do that OpenAI API cannot?
- Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. OpenAI API covers GPT models, DALL-E, Whisper, Embeddings.
Answered from the vendors’ own pages
Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?
No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.
SourceAzure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?
Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.
SourceAzure Machine Learning: Does Azure ML support language model fine-tuning?
Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.
SourceAzure Machine Learning: What MLOps features are included?
Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.
SourceAzure Machine Learning: Can I access foundation models from multiple vendors?
Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.
SourceRelated pages
More on Azure Machine Learning
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