Currently, there is no specific information available about long-term usage discounts for DeepSeek-R1 on AWS or Azure. However, both platforms offer various pricing models and options that can help manage costs effectively.
AWS Pricing Considerations
On AWS, DeepSeek-R1 can be deployed through several options, including Amazon Bedrock Marketplace, Amazon SageMaker JumpStart, and Amazon Bedrock Custom Model Import. Pricing is primarily based on usage, such as compute resources consumed or the number of active model copies. While AWS does not explicitly offer long-term discounts for DeepSeek-R1, using AWS Cost Explorer can help monitor and optimize expenses by identifying patterns in usage. Additionally, implementing monitoring with Amazon CloudWatch can aid in managing costs by tracking performance and usage patterns[3][6].
Azure Pricing Considerations
Azure AI Foundry provides access to DeepSeek-R1 as part of its model catalog, offering a scalable and enterprise-ready platform. While specific long-term discounts for DeepSeek-R1 on Azure are not detailed, Azure generally offers flexible pricing models and cost management tools. Azure's pricing is typically based on usage, and using Azure's cost management tools can help optimize expenses. Azure AI Foundry's focus is on rapid experimentation and integration, which can indirectly lead to cost savings by streamlining AI development processes[9].
DeepSeek's Pricing Discounts
DeepSeek itself offers off-peak pricing discounts for its models, including DeepSeek-R1. These discounts can reach up to 75% during off-peak hours, which might help reduce costs for long-term users who can schedule their usage accordingly[1][7]. However, these discounts are not specific to AWS or Azure deployments but apply to direct usage of DeepSeek's API.
In summary, while there are no explicit long-term discounts for DeepSeek-R1 on AWS or Azure, both platforms offer flexible pricing models and tools to manage costs effectively. Users can benefit from optimizing their usage patterns and leveraging off-peak discounts when possible.
Citations:
[1] https://www.pymnts.com/artificial-intelligence-2/2025/deepseek-offers-steep-off-peak-discounts-to-spread-out-demand/
[2] https://apidog.com/blog/deepseek-r1-review-api/
[3] https://repost.aws/questions/QUzC1_jMmESBmpAuOzQh5JcA/guidance-on-aws-deepseek-ai-pricing-and-deployment-options
[4] https://www.linkedin.com/posts/zhu-liang_deepseek-r1-is-better-and-cheaper-wrong-activity-7288814972271280128-vuYU
[5] https://www.bardeen.ai/answers/how-much-does-deepseek-cost
[6] https://aws.amazon.com/blogs/aws/deepseek-r1-now-available-as-a-fully-managed-serverless-model-in-amazon-bedrock/
[7] https://api-docs.deepseek.com/quick_start/pricing
[8] https://www.statista.com/chart/33839/prices-for-processing-one-million-input-output-tokens-on-different-ai-models/
[9] https://azure.microsoft.com/en-us/blog/deepseek-r1-is-now-available-on-azure-ai-foundry-and-github/
[10] https://www.reddit.com/r/LocalLLaMA/comments/1i8rujw/notes_on_deepseek_r1_just_how_good_it_is_compared/