APIs & DEVELOPER INFRASTRUCTURE
Baseten
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Pricing
We do not reprint prices. They change too often for that to be honest, and a number on our page with no date is worse than sending you to the source.
How we rated it
What it is
Hosts machine-learning models behind an API with autoscaling and GPU management, aimed at taking a model from a notebook to production without a platform team.
Who it is for
Teams deploying their own or open models into a product, who do not want to run the serving infrastructure.
Where it is strongest
Serving a specific model you have chosen or fine-tuned, with traffic that varies. The scaling and cold-start handling is the work you are avoiding.
Where it falls short
More expensive than renting the hardware yourself once traffic is steady. Cold starts on large models are still noticeable. And you are adding a dependency between your product and your model.
Our verdict
Recommended for getting a model into production quickly. At predictable, continuous volume, dedicated hardware costs less.
Editorial assessment. We earn a commission on some links; it does not change the ranking.