Baseten
Deploy and serve ML models in production with autoscaling and fast cold starts.
- Status
- Generally available
- Last checked
- Checked · Oct 11, 2026
- License
- Proprietary
- Pricing
- Free tier
What it is
Baseten provides model deployment and serving infrastructure (Truss, model APIs) with autoscaling, fast cold starts, and dedicated deployments.
Production model serving with autoscaling and notably fast cold starts.
When it fits — and when it doesn’t
A good fit for
Serving custom ML models in production
Autoscaling and reliability
Teams needing dedicated inference
Predictable performance
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Compute pricing at scale
Sustained GPU use is costly
- 02
More infra-oriented
Geared to teams deploying custom models
What it does well
Production-grade serving
Autoscaling, monitoring, and fast cold starts
Flexible model packaging (Truss)
Deploy custom models cleanly
Dedicated deployments
Predictable performance for production
Pricing
- Free tier
- YesFree trial credits
- Paid from
- —
- Model
- Usage-based
- Enterprise plan
- Yes
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Baseten
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for Baseten’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
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