
Deploy and scale ML models with fast cold starts and dedicated GPUs
Visit WebsiteThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Easy model deployment
Biggest con
Expensive at scale
TL;DR - Baseten
- ML model deployment
- Simplified infrastructure
- Team scaling
What is Baseten?
Available on: Web
Pros & Cons
Pros
- Easy model deployment
- Auto-scaling
- Good for inference
- Model marketplace
- Quick setup
Cons
- Expensive at scale
- Limited customization
- Vendor lock-in
- Support varies
- Smaller community
Ratings Across the Web
Ratings aggregated from independent review platforms. Learn more
Key Features
Pricing Plans
Pricing checked Jul 9, 2026
Basic
Free
- Pay as you go
- Dedicated deployments
- Model APIs
- Fast cold starts
- SOC 2 Type II
- HIPAA compliant
- Email and chat support
Pro
null
- Volume discounts
- Priority GPU access
- Dedicated compute
- Higher API rate limits
- Engineering expertise
- Slack and Zoom support
Enterprise
null
- Custom SLAs
- Training included
- Self-host deployments
- On-demand flex compute
- Use existing cloud commitments
- Data residency control
- Custom global regions
Reviews

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Baseten FAQ
How does Baseten facilitate the deployment of machine learning models?
Which teams would benefit most from using Baseten?
Does Baseten include a free tier for users to get started?
What kind of trade-offs should users consider when choosing Baseten?
How does Baseten compare to AWS SageMaker for model deployment?
Can Baseten help with scaling machine learning models for inference?
Source: baseten.co