Organizations are increasingly adopting open-weight foundation models (FMs) to power production AI workloads, from agentic coding assistants to long-context document analysis. As these workloads move from experimentation to enterprise deployment, two requirements shape every model selection decision: the model must deliver the capabilities the workload demands, and the inference environment must support the organization’s security and compliance requirements. Customers are looking for ways to access frontier third-party models without compromising on data protection, regulatory alignment, or operational control.

To address this need, Amazon Bedrock offers a fully managed service for accessing leading FMs from independent model providers, with inference running entirely on AWS-operated infrastructure. Your prompts and completions are not used to train any models, and your content is not shared with the model providers.

The MiniMax family is available on Amazon Bedrock, giving you three open-weight models to match different production workloads. The family is purpose-built for software engineering and agentic use cases. The newest model on Amazon Bedrock, MiniMax M2.5, is trained specifically for agent-native execution. The following sections cover what each model offers and how to choose between them.