GPT-6 Luna
GPT-6 Luna is the small, cost-efficient tier of OpenAI's GPT-6 family, sitting below GPT-6 Sol and GPT-6 Astra.
input · usd / 1m tok
$0.10
output · usd / 1m tok
$0.50
context window
1.05mtokens
modalities · in → out
takes text and image in, gives text out
pricing
base api ratesusd per 1m tokens
- input
- $0.10over 272k · $0.20
- output
- $0.50over 272k · $0.75
- cache read
- $0.01over 272k · $0.02
- cache write · default ttl
- $0.125over 272k · $0.25
brackets are by input tokens per request: a request over a threshold is billed at that bracket's rates for all of its tokens. cache creation can have a separate charge.
providers
Different companies host GPT-6 Luna. Impossibl routes your request intelligently and handles failover automatically when a provider is down.
- Azure AI Foundry
- OpenAI
specifications
takes text and image in, gives text outopenai/gpt-6-luna
- creatorOpenAI
- model typeText generation
- context window1,050,000 tokens
- maximum outputnot published
- input
takes text and image in, gives text out
- outputtext
- tool callingnot verified
- releasedsep 22, 2026
- endpoint
/v1/chat/completions
unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.
try it · your prompt, this model, live
# responses API
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["IMPOSSIBL_API_KEY"],
base_url="https://api.impossibl.com/v1",
)
resp = client.responses.create(
model="openai/gpt-6-luna",
input="",
)
print(resp.output_text)
edit the prompt, then run
benchmarks
intelligence index
38.1#38 of 113 models on the gateway
- Intelligence Index38.12
- legal index (API)40.3
- economics index (API)45.2
- engineering index (API)37.1
- intelligence index (API)38.1
- strategy and ops index (API)45.7
- finance and accounting index (API)40.3
- healthcare and medical index (API)37.4
each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-21.
compare GPT-6 Luna with other models
frontier labs and open weights, best-ranked firstusd / 1m tok · in / out
- anthropic/claude-opus-5-5$4.00 / $20.00compare →
- moonshotai/kimi-k3.1-pro$2.00 / $10.00compare →
- google/gemini-4-argon$2.00 / $10.00compare →
- meta/muse-wonder$4.00 / $20.00compare →
frequently asked questions
What is GPT-6 Luna?
GPT-6 Luna is the small, cost-efficient tier of OpenAI's GPT-6 family, sitting below GPT-6 Sol and GPT-6 Astra. It targets high-volume, latency-sensitive work such as chat, classification and lightweight agents, and at higher reasoning effort it takes on tasks that previously needed a Sol-tier model.
How much does GPT-6 Luna cost?
GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens through the Impossibl API. Cache reads cost $0.01 per million tokens; cache writes cost $0.125 per million tokens. These base rates apply through 272,000 total input tokens per request. Above 272,000 input tokens, the long-context rates in the pricing table apply to the whole request. All rates are in USD.
What is the context length of GPT-6 Luna?
GPT-6 Luna has a 1,050,000-token context window through the Impossibl API.
What inputs and outputs does GPT-6 Luna support?
GPT-6 Luna accepts text and image as input. GPT-6 Luna returns text.
How do I use GPT-6 Luna through an API?
GPT-6 Luna is available through the Impossibl API. Use openai/gpt-6-luna as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.
When was GPT-6 Luna released?
OpenAI released GPT-6 Luna on September 22, 2026.
this page describes GPT-6 Luna as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.
view the source catalog ↗model as markdown ↗report a correction →