Amazon SageMaker vs Weights & Biases
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 Weights & Biases starts at $60/mo. 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
- Experiment tracking
- Hyperparameter sweeps
- Model registry
- Weave LLM tracing
- Reports
| Feature | Amazon SageMaker | Weights & Biases |
|---|---|---|
| Best for | AWS platform for building, training and deploying ML and AI models | Experiment tracking and LLM observability, now part of CoreWeave |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Freemium |
| Starting price | See pricing page | $60/mo |
| Free plan | No | Yes |
| Made by | Amazon Web Services | CoreWeave |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Amazon SageMaker starts at See pricing page and Weights & Biases starts at $60/mo. 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
3 plans
Free
Free
- Experiment tracking for individuals
- Limited storage
Pro
$60/mo
- Starting price
- Team collaboration features
- Higher usage limits
Enterprise
Contact sales
- SSO and advanced security
- Dedicated support
Prices in USD, checked Oct 28, 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
Weights & Biases
- Industry-standard experiment tracking
- Polished dashboards
- Covers training and LLM apps
- Pricing jumps for larger teams
- Weave ingestion billed by size
- Sign-in moved to CoreWeave
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 Weights & Biases if you want:
- Industry-standard experiment tracking
- Polished dashboards
- Covers training and LLM apps
Watch out: pricing jumps for larger teams.
Amazon SageMaker vs Weights & Biases FAQ
What is the difference between Amazon SageMaker and Weights & Biases?
Amazon SageMaker: AWS platform for building, training and deploying ML and AI models. Weights & Biases: Experiment tracking and LLM observability, now part of CoreWeave. Both are models & apis tools.
Is Amazon SageMaker or Weights & Biases cheaper?
Amazon SageMaker starts at See pricing page and Weights & Biases starts at $60/mo. Check both pricing pages for current plans.
Do Amazon SageMaker and Weights & Biases have free plans?
Amazon SageMaker: No. Weights & Biases: Yes.
Who makes Amazon SageMaker?
Amazon SageMaker is made by Amazon Web Services, based in United States.
Who makes Weights & Biases?
Weights & Biases is made by CoreWeave, based in United States.
Which should I choose, Amazon SageMaker or Weights & Biases?
Choose Amazon SageMaker if you value covers the full ml lifecycle and deep integration with other aws services. Choose Weights & Biases if you value industry-standard experiment tracking and polished dashboards.