Skip to main content
AI Choice Engine

OpenAI

GPT-6 Luna

GPT-6 Luna is a OpenAI model with 1.05M context, $0.10 in / $0.50 out per million tokens, last verified September 26, 2026. Open weights: no. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

GPT-6 Luna is OpenAI's cheapest current model at $0.10/$0.50 — the direct successor to GPT-5.6 Luna at half the price, with the full 1.05M-token context.

Catalog record checked September 26, 2026Individual provider fields may change

AI model specification details
SpecificationGPT-6 Luna
ProviderOpenAI
TierBudget
Context window1.05M
Max output128K
Input / 1M tokens$0.10
Output / 1M tokens$0.50
WeightsClosed
ParametersGPT-6 low-cost tier
Reasoning levelsnone, low, medium, high, xhigh, max
Modalitiestext, image
API model idgpt-6-luna
ReleasedSeptember 22, 2026

Pricing tiers: Direct successor to GPT-5.6 Luna at half the price. Cached input $0.01/MTok; cache writes $0.125. Above 272K input the whole request bills $0.20/$0.75 ($0.02 cached). Batch/Flex $0.05/$0.25; Fast mode $0.20/$1.00. Knowledge cutoff May 18 2026.

Verified evidence

Published benchmark results

Each result keeps its source and measurement date visible. A missing benchmark is not treated as a zero.

Published benchmark results for GPT-6 Luna
BenchmarkScoreMeasuredSource
Artificial Analysis Intelligence Index [max]37.32026-09-26Artificial Analysis · View source
DeepSWE 1.1 [max]66.62026-09-22OpenAI — Introducing GPT-6 Sol and Luna (vendor; not yet on Datacurve's board) · View source

Best for

  • High-volume chat and extraction
  • Classification
  • Cost-capped agent loops

Watch out

Small tier: it matches GPT-5.6 Luna on the Artificial Analysis index but sits well below GPT-6 Sol on hard reasoning; the DeepSWE figure is vendor-reported at max effort.

History

GPT-6 Luna timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

  • GPT-6 LunaReleaseSeptember 22, 2026

    OpenAI's new cheapest model: GPT-6 Luna at $0.10/$0.50 per MTok (cached $0.01) with a 1.05M-token context, replacing GPT-5.6 Luna at half the price.

    OpenAI — Introducing GPT-6 Sol and Luna

Source receipts

Catalog figures for this model were checked against the following sources.

Common questions

GPT-6 Luna

Answered from the verified figures on this page rather than general guidance.

How much does GPT-6 Luna cost per million tokens?
GPT-6 Luna is listed at $0.10 per million input tokens and $0.50 per million output tokens at standard rates. Output tokens usually dominate real bills, so weigh the output rate more heavily than the input rate. Direct successor to GPT-5.6 Luna at half the price. Cached input $0.01/MTok; cache writes $0.125. Above 272K input the whole request bills $0.20/$0.75 ($0.02 cached). Batch/Flex $0.05/$0.25; Fast mode $0.20/$1.00. Knowledge cutoff May 18 2026.
What is GPT-6 Luna's context window?
GPT-6 Luna accepts about 1.05M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is GPT-6 Luna best for?
GPT-6 Luna is a budget tier from OpenAI. It suits high-volume chat and extraction, classification, cost-capped agent loops. Small tier: it matches GPT-5.6 Luna on the Artificial Analysis index but sits well below GPT-6 Sol on hard reasoning; the DeepSWE figure is vendor-reported at max effort.

Compare it

Featured head-to-head comparisons

A deliberately selected pairing for this model, rather than an automatically generated matrix.