AWS frequently updates Bedrock with improved foundation models, offering higher quality and better cost efficiency. When workloads remain tied to older model versions, token consumption may increase, latency may be higher, and output quality may be lower. Using outdated models leads to avoidable operational costs, particularly for applications with consistent or high-volume inference activity. Regular modernization ensures applications take advantage of new model optimizations and pricing improvements.
Bedrock Inference Profiles are billed based on model-specific rates per input and output token (or per request, depending on the model). Newer model versions often provide improved performance, lower per-token cost, or more efficient inference compared to older versions. Continuing to use outdated models can increase total cost for the same workload output.
