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Machine Learning · head to head

Azure Machine Learning vs Devin

Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite
Devin logo

Devin

Software Development

Autonomous AI software engineer planning and executing code in its own environment

From
On request
Rated
-
Full reviewWebsite

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; Devin pricing not published; specific costs and plan tiers require signup or contact with sales

Where they differ

Only the attributes on which Azure Machine Learning and Devin actually diverge.

Attributes where Azure Machine Learning and Devin differ
AttributeAzure Machine LearningDevin
Starting priceFreeOn request
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsAzure CloudDesktop, Windsurf integration, Web
CategoryMachine LearningSoftware Development
Founded1975Unknown

Identical on both: 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 Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

Only in Devin

Nothing recorded that Azure Machine Learning does not also cover.

What people use each for

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

Azure Machine Learning

  • Machine learningnot Devin
  • Data analysisnot Devin
  • Model trainingnot Devin
  • Predictive analyticsnot Devin

Devin

  • Feature implementation and ticket resolution in established codebasesnot Azure Machine Learning
  • Code migrations and refactoring at scale across repositoriesnot Azure Machine Learning
  • Bug fixing and debugging with test-driven verificationnot Azure Machine Learning
  • Rapid prototyping and proof-of-concept developmentnot Azure Machine Learning
  • Repetitive implementation tasks freeing human engineers for complex designnot 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

Devin

  • Pricing not published; specific costs and plan tiers require signup or contact with sales
  • Cannot handle extremely difficult tasks reliably; success rate decreases with task complexity
  • Requires clear, well-scoped task descriptions; ambiguous requirements reduce effectiveness
  • Requires human oversight and integration into existing workflows; not fully autonomous

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

Devin

On request

No published plan breakdown. See the Devin review.

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).
Azure Machine Learning review

Choose Devin if

  • You work on Desktop, Windsurf integration, Web.
Devin review

Questions people ask

Is Azure Machine Learning or Devin better?
Neither clearly leads. Azure Machine Learning starts at Free and Devin at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or Devin?
Azure Machine Learning has a free tier; the other does not. Paid plans start at Free for Azure Machine Learning and On request for Devin.
Does Azure Machine Learning or Devin run on more platforms?
Azure Machine Learning runs on Azure Cloud. Devin runs on Desktop, Windsurf integration, Web.
Can I use Azure Machine Learning for free?
Yes. Azure Machine Learning has a free tier, so you can try it without paying. Devin starts at On request.
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 Devin is typically brought in for.
What can Azure Machine Learning do that Devin cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps.

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.

Source
Devin: What does Devin cost?

Devin's pricing is not publicly listed on their website. Interested parties must request a demo to discuss pricing and availability.

Source
Azure 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.

Source
Devin: How do I get access to Devin?

Devin is accessed by requesting a demo. There is no information about self-service signup, trial, or pricing on the public website.

Source
Azure 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.

Source
Azure 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.

Source
Azure 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.

Source
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