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Machine Learning · head to head

AWS SageMaker vs Devin

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

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 AWS SageMaker has a free tier, so it costs nothing to try first.
  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Devin pricing not published; specific costs and plan tiers require signup or contact with sales

Where they differ

Only the attributes on which AWS SageMaker and Devin actually diverge.

Attributes where AWS SageMaker and Devin differ
AttributeAWS SageMakerDevin
Starting priceFreeOn request
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsWebDesktop, Windsurf integration, Web
CategoryMachine LearningSoftware Development
Founded2006Unknown

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in Devin

Nothing recorded that AWS SageMaker does not also cover.

What people use each for

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

AWS SageMaker

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

Devin

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

Where each one falls short

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

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

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

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Devin

On request

No published plan breakdown. See the Devin review.

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose Devin if

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

Questions people ask

Is AWS SageMaker or Devin better?
Neither clearly leads. AWS SageMaker 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, AWS SageMaker or Devin?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and On request for Devin.
Does AWS SageMaker or Devin run on more platforms?
AWS SageMaker runs on Web. Devin runs on Desktop, Windsurf integration, Web.
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. Devin starts at On request.
What is AWS SageMaker best used for?
AWS SageMaker 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 AWS SageMaker do that Devin cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

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
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

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
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
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