There is no universal winner between Claude on Amazon Bedrock and Amazon Nova. Both are available through Bedrock, but each family includes different models. Choose by exact model, workload, routing requirements, and total cost—not by family name. AWS’s descriptions can help narrow the options, but they are vendor characterizations, not controlled head-to-head benchmark results.
What is the difference between Claude on Bedrock and Amazon Nova?
Claude models are made by Anthropic and offered through Amazon Bedrock; Nova models are Amazon’s model family, also available through Bedrock. The useful comparison is between specific model versions, not “Claude” and “Nova” as if each were a single product. Model lineups and regional availability can change, so confirm the current model ID and supported Region before building an integration.
| Example | Inputs and outputs described by AWS | AWS-described fit |
|---|---|---|
| Nova 2 Lite | Inputs: text, images, video, and documents. Output: text. | High-volume applications prioritizing speed and cost efficiency. |
| Nova 2 Sonic | Inputs: speech and text. Outputs: speech and text. | Voice applications. |
| Claude variants | Modalities vary by version; a family-wide input/output profile is not established here. | AWS descriptions distinguish versions by strengths such as coding, reasoning, computer use, agent-oriented work, long-running tasks, or speed and efficiency. |
These are AWS’s published descriptions, not independent evidence that one option performs better for your application. In particular, a capability listed for one Claude version should not be assumed for every Claude version.
How should you choose a model for your workload?
Start with the task and constraints, then narrow to the exact model IDs available in the Region and routing mode you can use. Compare candidates on the same representative inputs rather than relying on broad family descriptions.
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- Define the task and modalities. Record whether requests contain text, images, video, documents, speech, or a combination, and what form the response must take. Eliminate models that do not support the required inputs or outputs.
- Check model and Region availability. Confirm the current model version, its regional availability, and any inference profile or routing mode your deployment requires.
- Evaluate representative tasks. Use realistic prompts and expected outputs to assess correctness and quality for your specific work, including failure cases. Official summaries do not substitute for a workload-specific evaluation.
- Measure operational fit. Compare latency and throughput under comparable conditions, alongside any model limits and application requirements that matter to your deployment.
- Estimate total cost. Use the same request volume, input-token mix, expected output lengths, and inference options for each candidate. Include relevant caching, batch use, modalities, and additional Bedrock features in the estimate.
Is Claude on Bedrock private?
AWS says in the Amazon Bedrock FAQ: “Your content is not used to improve the base models and is not shared with any model providers.” AWS also says Bedrock data is encrypted in transit and at rest, and that customers may optionally use their own keys. These are AWS’s statements about the Bedrock service; they are not an independent audit or a blanket guarantee covering every integration, account configuration, or customer security practice.
AWS’s data-protection guidance describes security as a shared responsibility: AWS protects the underlying cloud infrastructure, while customers remain responsible for content they host and for configuring and managing security. AWS recommends measures including identity and access controls, secure communications, logging, and encryption. Apply those controls to the particular account, application, and data you deploy.
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Does Amazon Bedrock keep prompts in my AWS Region?
Not necessarily. The answer depends on the inference routing mode, model, and configuration—not simply on where your application runs. AWS documents three routing choices:
- In-Region inference: Processes requests within the selected AWS Region.
- Geographic cross-Region inference: Can route prompts and outputs among Regions within a defined geography.
- Global cross-Region inference: Can use supported commercial Regions worldwide, without a geographic restriction.
AWS says regional availability varies by model and routing mode. If policy requires processing within one Region, verify that the exact model supports that Region and select In-Region inference. Do not infer residency from the fact that AWS says prompts and completions are not shared with model providers: provider data handling and request routing are separate questions.
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Which is cheaper, Claude or Nova on Bedrock?
There is no defensible family-wide price winner from the available pricing information. AWS says Bedrock pricing depends on modality, provider, and model. It lists Standard, Flex, Priority, and Reserved tiers; selected models may also offer batch inference at a lower price than on-demand. Nova on-demand inference is usage-based, with billing based on input and output tokens processed. The exact current rates depend on the model and configuration, so check AWS’s live Bedrock pricing for the specific candidates, Region, inference mode, and tier you plan to use.
For a useful comparison, estimate the same workload on both candidates: request volume, input tokens, output length, and any image, video, document, or speech processing. Include eligible caching or batch use and any relevant Bedrock features. Then weigh that estimate against the latency and throughput your application needs; a lower per-token rate alone does not establish a lower total cost for the workload.
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What is the practical decision?
Shortlist exact variants that meet your modality and routing requirements, then compare them on representative tasks and a matched cost estimate. AWS’s descriptions may help identify candidates—for example, Nova 2 Lite for high-volume work where speed and cost efficiency are priorities, or Nova 2 Sonic for speech-and-text applications—but they do not prove which model will work best or cost less for your workload. Make the final choice from your own task evaluation, operating requirements, and current model-specific pricing.
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Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
