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Machine Learning · head to head

AWS SageMaker vs Baseten

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Baseten logo

Baseten

Software Development

Inference is everything

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Baseten pro and Enterprise pricing not published; requires contacting sales

Where they differ

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

Attributes where AWS SageMaker and Baseten differ
AttributeAWS SageMakerBaseten
Pricing modelUnknownusage-based
CategoryMachine LearningSoftware Development
Founded2006Unknown

Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 Baseten

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 Baseten
  • Data analysisnot Baseten
  • Model trainingnot Baseten
  • Predictive analyticsnot Baseten

Baseten

  • Custom model deploymentnot AWS SageMaker
  • Fine-tuned LLM hostingnot AWS SageMaker
  • Inference API scalingnot 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

Baseten

  • Pro and Enterprise pricing not published; requires contacting sales
  • Pricing varies significantly by compute type and model

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Baseten

Free
  • BasicFree
    • Pay-as-you-go deployments
    • Dedicated model APIs
    • SOC 2 Type II and HIPAA compliance
  • Pro$null/month
    • Priority GPU access
    • Unlimited autoscaling
    • Volume discounts available
  • Enterprise$null/month
    • Self-hosted options
    • Custom SLAs
    • Data residency control

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 Baseten if

  • You want to start without paying.
Baseten review

Questions people ask

Is AWS SageMaker or Baseten better?
Neither clearly leads. AWS SageMaker starts at Free and Baseten at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Baseten?
AWS SageMaker starts at Free and Baseten at Free.
Does AWS SageMaker or Baseten run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
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 Baseten is typically brought in for.
What can AWS SageMaker do that Baseten 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
Baseten: Does Baseten have a free tier?

Yes, Baseten's Basic plan is free with a pay-as-you-go model for dedicated deployments and model APIs.

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
Baseten: How are GPU instances priced on Baseten?

GPU instances are priced per minute: T4 at $0.01052/min, H100 at $0.10833/min, and B200 at $0.16633/min. CPU instances range from $0.00058 to $0.01382 per minute.

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
Baseten: What are Model API costs on Baseten?

Model API pricing varies by model: DeepSeek V4 Flash costs $0.13 per million input tokens and $0.028 per million output tokens; GLM-5.3-Flash costs $0.15 and $0.03 respectively.

Source
Baseten: Does Baseten charge for idle compute time?

No, Baseten does not charge for idle time; billing only covers active compute usage on deployments.

Source
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