Bedrock models with fine-tuning / customization
These Amazon Bedrock models can be customised on your own data — fine-tuning or continued pre-training — producing a private model only your account can invoke.
1 of the models on Bedrock qualify today. Rebuilt daily from the AWS catalogue, so this list does not go stale.
What teams get wrong about this
A customised model cannot be served on-demand. It requires Provisioned Throughput, which is billed by the hour whether or not you send it traffic, so the floor is a fixed monthly cost rather than a per-token one. That changes the economics completely: fine-tuning is rarely cheaper than a good prompt plus retrieval unless you have sustained, high volume.
All 1 models, cheapest first
| Model | Input /1M |
|---|---|
| Nova Canvas amazon.nova-canvas-v1:0 | — |
Capability flags come from the AWS Bedrock model catalogue; prices from the Price List API. Region counts include cross-region inference profiles. Methodology.
Questions
Does fine-tuning on Bedrock require Provisioned Throughput?
Yes. Custom models are not available for on-demand inference — you buy model units by the hour or with a term commitment. Budget for the hourly floor before the token cost.
Is fine-tuning worth it versus prompting?
Usually only at sustained volume, or when you need behaviour that prompting cannot reach — a house style, a rigid output format, or a domain vocabulary. For factual grounding, retrieval beats fine-tuning: it is cheaper, and you can update it without retraining.