Bedrock’s model catalog evolves quickly as providers release new versions—such as successive Claude model families or updated Amazon Titan models. These newer models frequently offer improved performance, more efficient reasoning, better context handling, and higher-quality outputs compared to older generations. When workloads continue using older or deprecated models, they may require **more tokens**, experience **slower inference**, or miss out on accuracy improvements available in successor models. Because Bedrock bills per token or per inference unit, these inefficiencies can increase cost without adding value. Ensuring workloads align with the most suitable current-generation model improves both performance and cost-effectiveness.
Bedrock generally charges per input and output token (or per inference unit for certain model families). While newer models may not always have a lower price per token, they often deliver **better accuracy, faster responses, or reduced token requirements**, improving the effective cost-efficiency of the workload. Continuing to run older models can lead to higher spend for lower-quality output.
