kitio.aiAmazon SageMaker vs Alibaba Cloud PAI
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Amazon SageMaker starts at See pricing page and Alibaba Cloud PAI starts at See pricing page. Check both pricing pages for current plans.
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
- Data labeling (PAI-iTAG)
- Notebook development (PAI-DSW)
- Distributed training (PAI-DLC)
- Model serving (PAI-EAS)
- Model Gallery deployments
| Feature | Amazon SageMaker | Alibaba Cloud PAI |
|---|---|---|
| Best for | AWS platform for building, training and deploying ML and AI models | Alibaba Cloud's platform for labeling, training and serving ML models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Amazon Web Services | Alibaba Cloud |
| Based in | United States | China |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Pricing compared
Amazon SageMaker starts at See pricing page and Alibaba Cloud PAI starts at See pricing page. Check both pricing pages for current plans.
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
Alibaba Cloud PAI
- Covers the full ML lifecycle
- One-click deployment of open models
- CPU and GPU resources with autoscaling
- Pricing requires the cloud calculator
- Many modules to learn
- Best suited to existing Alibaba Cloud users
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 Alibaba Cloud PAI if you want:
- Covers the full ML lifecycle
- One-click deployment of open models
- CPU and GPU resources with autoscaling
Watch out: pricing requires the cloud calculator.
Amazon SageMaker vs Alibaba Cloud PAI FAQ
What is the difference between Amazon SageMaker and Alibaba Cloud PAI?
Amazon SageMaker: AWS platform for building, training and deploying ML and AI models. Alibaba Cloud PAI: Alibaba Cloud's platform for labeling, training and serving ML models. Both are models & apis tools.
Is Amazon SageMaker or Alibaba Cloud PAI cheaper?
Amazon SageMaker starts at See pricing page and Alibaba Cloud PAI starts at See pricing page. Check both pricing pages for current plans.
Do Amazon SageMaker and Alibaba Cloud PAI have free plans?
Amazon SageMaker: No. Alibaba Cloud PAI: No.
Who makes Amazon SageMaker?
Amazon SageMaker is made by Amazon Web Services, based in United States.
Who makes Alibaba Cloud PAI?
Alibaba Cloud PAI is made by Alibaba Cloud, based in China.
Which should I choose, Amazon SageMaker or Alibaba Cloud PAI?
Choose Amazon SageMaker if you value covers the full ml lifecycle and deep integration with other aws services. Choose Alibaba Cloud PAI if you value covers the full ml lifecycle and one-click deployment of open models.