Pair Nova 2 Lite with Claude for cost-optimized document processing
Pairing Amazon Nova 2 Lite with Claude Sonnet 4.6 in a two-model Bedrock pipeline cuts per-page document-digitization cost by about two-thirds.
“This two-model approach costs about two-thirds less per page than a single-model alternative that sends the entire task to one vision-language model.”
An AWS blog demonstrates a two-stage Bedrock pipeline where Nova 2 Lite handles multimodal extraction and Claude Sonnet 4.6 does spatial reasoning to match names to faces, processing 336 yearbook pages into 3,122 associations with 93% at >=0.95 confidence. The notable signal is architectural: splitting tasks across a cheap extraction model and a stronger reasoning model cut per-page cost by roughly two-thirds versus a single VLM. It matters as a practical cost-optimization pattern for scaled document processing, though it is vendor-promotional rather than a major industry shift.