kitio.aiAmazon SageMaker vs Create ML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Create ML is completely free, while Amazon SageMaker is paid.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Model training and hosting
- Unified Studio
- Lakehouse architecture
- Data and AI governance
- Data agent
- Bedrock integration
- No-code training app
- Image and sound classifiers
- Object detection
- Text and tabular models
- Core ML export
| Feature | Amazon SageMaker | Create ML |
|---|---|---|
| Best for | AWS platform for building, training and deploying ML and AI models | Train custom machine learning models on a Mac without code |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Free |
| Starting price | See pricing page | Free |
| Free plan | No | Yes, fully free |
| Made by | Amazon Web Services | Apple |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Create ML is completely free, while Amazon SageMaker is paid.
Free plan
Cheapest paid plan
Top plan
Free trial
2 plans
Pay as you go
Varies by service
- Billed per resource used
- Small monthly free allowances
Data Agent
$0.04 / credit
- Agent usage billed in credits
Prices in USD, checked Nov 5, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Amazon SageMaker
- Covers the full ML lifecycle
- Deep integration with other AWS services
- Pay only for what you use
- Usage pricing is hard to predict
- Steep learning curve for newcomers
- Ties your stack to AWS
Create ML
- No training code required
- Data stays on your Mac
- Outputs ready-to-use Core ML models
- Requires a Mac
- Limited to Apple's model templates
- Not suited to large custom architectures
Which one should you choose?
Choose Amazon SageMaker if you want:
- Covers the full ML lifecycle
- Deep integration with other AWS services
- Pay only for what you use
Watch out: usage pricing is hard to predict.
Choose Create ML if you want:
- No training code required
- Data stays on your Mac
- Outputs ready-to-use Core ML models
Watch out: requires a mac.
Amazon SageMaker vs Create ML FAQ
What is the difference between Amazon SageMaker and Create ML?
Amazon SageMaker: AWS platform for building, training and deploying ML and AI models. Create ML: Train custom machine learning models on a Mac without code. Both are models & apis tools.
Is Amazon SageMaker or Create ML cheaper?
Create ML is completely free, while Amazon SageMaker is paid.
Do Amazon SageMaker and Create ML have free plans?
Amazon SageMaker: No. Create ML: Yes, fully free.
Who makes Amazon SageMaker?
Amazon SageMaker is made by Amazon Web Services, based in United States.
Who makes Create ML?
Create ML is made by Apple, based in United States.
Which should I choose, Amazon SageMaker or Create ML?
Choose Amazon SageMaker if you value covers the full ml lifecycle and deep integration with other aws services. Choose Create ML if you value no training code required and data stays on your mac.