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OpenAI · Fast, low-cost processing at scale

GPT-5.6 Luna

The most economical variant in the GPT-5.6 family for classification, extraction and other repetitive tasks where cost and speed outweigh maximum quality.

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Costs
Low · standard rates from July 30, 2026: $0.20 per million input tokens and $1.20 per million output tokens
Speed
Fast; the paid Fast mode costs twice as much
Availability
OpenAI API and the Codex tool
Input length
Varies by product and mode
Inputs
Text and, depending on the service used, image inputs

Data checked . Release date unverified.

Indicative capability profile

Where the model is strong

The five levels are our clear summary of the results below. They are not a ranking that applies to every task.

Analysis Suitable for routine analysis, not for the most complex decisions.
Coding Suitable for smaller, well-defined programming tasks.
Autonomous work across multiple steps Makes sense in precisely defined and controlled automations.
Writing and content A good choice for bulk classification, extraction and text editing.
Speed A variant designed for fast, high-volume processing.

Ideal use

When to choose it

  • Classifying and labeling large volumes of text
  • An initial low-cost pass before a stronger model
  • Simpler automation with precisely controllable output

Usage boundaries

When to choose another model

  • The hardest analyses and strategic decisions
  • Complex programming without subsequent review

Traceable supporting sources

Data and measurement sources

Distinguish between the manufacturer's documentation and the results of a specific test. Measurements also depend on the settings and the task set used.

OpenAI

Variant identification

For efficient, high-volume processing

The company recommends Luna where low cost and high volume matter.

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OpenAI

Standard price after the price reduction

$0.20 input · $0.02 cached input · $1.20 output

Amounts are per million tokens in a short context; the price fell by 80%.

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Trends over time

Related events from AI Radar

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OpenAI major

OpenAI cuts prices for GPT-5.6 Luna and Terra models, says optimization of its own infrastructure by Sol made this possible

Anyone using OpenAI API for their own projects or tools with a low-cost model (Luna) will pay significantly less for the same work than before, as illustrated by Simon Willison, who switched from Gemini to Luna because of the price.

Companies running products on cheaper GPT-5.6 models can reduce inference costs by as much as tens of percent or consider switching from competing providers (Google, Anthropic), intensifying price pressure across the AI industry.

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Next step

Compare the model using your actual task.

A benchmark narrows the selection. A short trial on your data determines the choice.

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