SURVEY RECORD N° 10 FILED 2026-08-13
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GPT-5.6 Luna

The cheapest GPT-5.6 tier; classification, routing, extraction, high-volume chat.

Context1.05M
Passage, per 1M in / out$0.20 / $1.20
AA Intelligencenot yet surveyed
Licenseclosed
ModalitiesText, image
Official siteopenai.com →

In its favor

  • Cheapest GPT-5.6 tier at $0.20 / $1.20
  • Cut 80% on Jul 30 — steepest single cut of the year from a US lab
  • Full 1.05M-token context retained
  • Ideal for classification, routing, extraction, high-volume chat

Against it

  • Not built for deepest reasoning
  • No standalone independent AA index on file
  • Closed weights — no self-hosting
  • Long-context surcharge still applies
efficienthigh-volumevision1M contextclosedcheap

ASSESSMENT

Luna is the efficiency tier of the GPT-5.6 family and the most striking price story in the survey: an 80% cut on July 30, 2026 — the steepest single reduction of the year from a US lab — brought it to $0.20 / $1.20 per million tokens. Crucially, it retains the family's full 1.05M-token context.

Luna is not built for the deepest reasoning, and it has no standalone independent intelligence score here; the long-context surcharge still applies at scale. Those are the expected trade-offs for a model priced this low.

Where it excels is high-volume, well-scoped work: classification, routing, extraction, and large-scale chat, where the enormous context and rock-bottom price matter more than frontier reasoning. For that class of task Luna is one of the most cost-effective closed models available; for hard reasoning, step up to Terra or Sol.

FIELD NOTE — Cut 80% on Jul 30 — the steepest single cut of the year from a US lab.

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⚑ POSITION NOT YET SURVEYED
LOCATOR — FIG. 1, GENERAL CHART