Price Gouge
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Use cases
Use case3 minUpdated 2026-07-04

Document processing

Process large document volumes with open-model extraction, batch routes, cache discipline, and a small frontier evaluator sample.

Audience

Document AI teams

Metric

Million-doc routing

Sources

2 official links

Best default

Treat document workloads as pipelines, not single prompts. Extraction, classification, summarization, evaluation, and exception handling should not all use the same model tier.

  • Chunk and cache stable instructions instead of sending oversized contexts.
  • Use open-model or batch lanes for routine extraction and summaries.
  • Keep frontier models for schema changes, evaluator samples, and edge cases.

Hidden cost

Output tokens, retries, storage, egress, and search grounding can dominate the advertised model price. Track accepted outputs instead of generated outputs.