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NerdLevelTech

OpenAI

GPT-6 Luna

The cheapest model OpenAI ships

ProprietaryReleased: September 22, 2026High volumeVerified: October 24, 2026

What it is

OpenAI’s high-volume tier at a base rate of $0.10/$0.50 per 1M tokens, with the same 1,050,000-token window (922K max input + 128K max output) as the rest of the GPT-6 family.

NLT take

The cheapest serious model here, and the one to use for classification, extraction, routing and the twenty steps of an agent that do not need judgement.

Before you switch

Cheap tokens are not cheap tasks: a loop that re-sends a growing transcript can cost more than one Astra call. Measure cost per task, not per token.

Cost for a real task

The same task on every model: 50,000 input tokens and 10,000 output tokens, at the base tier.

Task cost

$0.010

50K input + 10K output tokens

Input, per 1M
$0.10
Output, per 1M
$0.50
Cached input, per 1M
$0.010

Prompts above 272K input tokens: 2× input and cache, 1.5× output for the whole request.

Pricing source: OpenAI pricing

Specs

Maker
OpenAI
Licence
Proprietary
Released
September 22, 2026
Context window
1,050,000 tokens (922,000 input + 128,000 output)
Max output
128,000 tokens
Max input
922,000 tokens
Knowledge cutoff
Input / output
Text · Image → Text

Watch it in action

Hands-on videos from creators we trust. They open on YouTube; we do not host or re-upload them.

From our coverage

Articles about this model or its family. A “Background” tag means we have not covered this exact release yet.

Sources & model links

Every number on this card traces back to one of these links. The maker page proves the positioning, the pricing page proves the rates, the Hugging Face repo proves the weights exist, and the Ollama page proves a local tag.

Official