GPT-6 Luna — Specifications
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Sviluppatore | OpenAI |
|---|---|
| Tipo | LLM |
| Modalità | Testo, visione |
| Parametri | Non divulgato |
| Finestra contestuale | 1,05 milioni |
| Output massimo | 128K |
| Licenza | Proprietaria |
| Pesi aperti | No |
| Pubblicato | 2026-09 |
| Prezzo dell’input | $0.10 /1M |
| Prezzo dell’output | $0.50 /1M |
| Provider API | API OpenAI |
Benchmark
| OpenAI-reported | DeepSWE v1.1 (max) 66.6% |
|---|
What is GPT-6 Luna?
GPT-6 Luna is the cheapest and fastest model in OpenAI’s GPT-6 family, released on 22 September 2026 with GPT-6 Sol. OpenAI afferma that at higher effort levels it matches GPT-5.6 Sol on factuality at about a hundredth of the cost, and that at max effort it scores 66.6% on DeepSWE v1.1.
API pricing is $0.10 per million input tokens and $0.50 output (GPT-5.6 Luna: $0.20 / $1.20), with cached input at $0.01. OpenAI’s developer documentation lists a 1,050,000-token context window, up to 128,000 output tokens, text and image input, and a knowledge cutoff of 18 May 2026. Free and Go ChatGPT users can use Luna in the ChatGPT desktop app.
GPT-6 Luna pricing: API cost per 1M tokens
| Input (per ogni milione di token) | $0.100 |
|---|---|
| Output (per ogni milione di token) | $0.500 |
| Rapporto output/input | 5× |
| Combinato (4:1 in:out) | $0.180 per 1 milione di token |
What GPT-6 Luna costs per month
Spesa mensile reale con un mix input-to-output 4:1 — il rapporto effettivamente prodotto da un tipico carico di lavoro basato su chat o RAG.
| Carico di lavoro | Token/mese | Costo/mese |
|---|---|---|
| Progetto secondario | 1 milione in ingresso / 0,25 milioni in uscita | $0.23 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $4.50 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $45 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to GPT-6 Luna
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| Mistral 7B aperta | $0.0220 | 88% cheaper |
| Llama 3.1 8B aperta | $0.0220 | 88% cheaper |
| Mistral NeMo 12B aperta | $0.0240 | 87% cheaper |
Domande frequenti
How much does GPT-6 Luna cost per 1M tokens?
GPT-6 Luna costs $0.100 per 1M input tokens and $0.500 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.180 per 1M tokens.
How much does GPT-6 Luna cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $4.50 on GPT-6 Luna. A side project (1M in / 0.25M out) costs roughly $0.23.
What is a cheaper alternative to GPT-6 Luna?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 88% less than GPT-6 Luna. It is also open-weight, so self-hosting is an option.
Can I run GPT-6 Luna locally?
No. GPT-6 Luna is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does GPT-6 Luna charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. GPT-6 Luna charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
I prezzi indicati sono le tariffe ufficiali pubblicate per l'API principale del modello e vengono aggiornati man mano che i fornitori li modificano. Sconti per volumi elevati, elaborazione batch e input memorizzati nella cache non sono inclusi. Confronta tutti i modelli fianco a fianco nel Database di modelli IA o il Classifica LLM.