OpenAIClosed weights
GPT-6 Luna.
GPT-6 Luna is the fast and cost-efficient model of OpenAI's GPT-6 series. It suits high volumes and latency-critical tasks such as chat, classification and light agentic workflows, and with higher reasoning effort it also takes on complex software engineering and computer use. It processes text, images and files with a context of more than one million tokens.
base_url="https://api.noirdoc.de/v1" model="gpt-6-luna"
- Data centres in the EU
- § 203 confidentiality
- Zero retention
- List prices
Details.
Where the model runs, which rules apply and what it can do.
- Data centres in the EU Azure Contracting party: Microsoft Ireland Operations Limited · based in Dublin, Ireland
- § 203 German Criminal Code (StGB)
- Confidentiality agreed with Azure
- Weights
- Closed weights
- Features
- Tools, Vision, Reasoning and JSON
Providers.
We offer GPT-6 Luna through these providers.
Provider § 203 model=
€ · 1M tokens Input Cache Read Cache Write Output
Azure EU EU data residency via Azure Foundry
gpt-6-luna Input 0.11 Cache Read 0.011 Cache Write 0.135 Output 0.54 from 272K input tokens from 272K Input 0.212 Cache Read 0.022 Cache Write 0.135 Output 0.792
More models.
OpenAI develops the GPT series, Whisper and TTS. Alongside its proprietary models, OpenAI also publishes open weights with GPT-OSS.
All OpenAI models → Model
€ · 1M tokens Input Cache Read Cache Write Output
GPT-6.1 Sol Tools Vision Reasoning JSON GPT-6 model for agentic coding and computer use — also for document-heavy work and multi-step business workflows. 
Azure · EU Azure · EU Azure · EU Azure · EU Azure · EU Azure · EU Azure · EU Azure · EU 
AKI.IO · DE Azure · EU
Azure · EU Input 2.16 Cache Read 0.11 Cache Write 2.70 Output 10.78 from 272K input tokens from 272K Input 4.23 Cache Read 0.22 Cache Write 2.70 Output 15.84
GPT-6 Sol Tools JSON Cost-efficient top tier of the GPT-6 family — for agentic coding, business automation and long software engineering tasks. Azure · EU Input 2.16 Cache Read 0.22 Cache Write 2.70 Output 10.78 from 272K input tokens from 272K Input 4.25 Cache Read 0.44 Cache Write 5.28 Output 15.85
GPT-5.6 Sol Tools Vision Reasoning JSON Most capable model of the GPT-5.6 family — extended reasoning, agentic workflows and code for the most demanding workloads. Azure · EU Input 3.95 Cache Read 0.395 Cache Write 4.94 Output 19.75 from 272K input tokens from 272K Input 7.76 Cache Read 0.776 Cache Write 9.70 Output 29.06
GPT-5.6 Terra Tools Vision Reasoning JSON Balanced model of the 5.6 family — GPT-5.5-level performance at significantly lower cost. Azure · EU Input 1.98 Cache Read 0.198 Cache Write 2.47 Output 11.85 from 272K input tokens from 272K Input 3.90 Cache Read 0.39 Cache Write 4.88 Output 17.46
GPT-5.6 Luna Tools Vision Reasoning JSON Fastest and cheapest 5.6 model — for high volumes and latency-critical applications. Azure · EU Input 0.20 Cache Read 0.02 Cache Write 0.25 Output 1.19 from 272K input tokens from 272K Input 0.40 Cache Read 0.04 Cache Write 0.50 Output 1.77
GPT-5.4 Tools Vision Reasoning JSON Frontier model for demanding reasoning, agentic workflows and complex production workloads. Azure · EU Input 2.47 Cache Read 0.247 Cache Write — Output 14.82 from 272K input tokens from 272K Input 4.86 Cache Read 0.486 Cache Write — Output 21.80
GPT-5.4 mini Tools Vision Reasoning JSON Compact GPT-5.4 variant for high throughput at low cost — solid on standard tasks. Azure · EU Input 0.75 Cache Read 0.075 Cache Write — Output 4.45
GPT-5 mini Tools Vision Reasoning JSON Compact GPT-5 variant for high throughput at low cost — solid on standard tasks. Azure · EU Input 0.26 Cache Read 0.0256 Cache Write — Output 1.99
GPT-OSS 120B Tools Reasoning JSON OpenAI's open-weight model — near-frontier reasoning with full deployment control. AKI.IO · DE Input 0.15 Cache Read — Cache Write — Output 0.55
Whisper Audio OpenAI's speech recognition — robust transcription across many languages and accents. Azure · EU 0.0065 € per minute
Get started.
Test selected models right away with €5 starter credit — every model from the first top-up. If you have questions first, talk to our sales team.
import os
from openai import OpenAI
client = OpenAI(
# one line, that's all
base_url="https://api.noirdoc.de/v1",
api_key=os.environ["NOIRDOC_API_KEY"],
)
response = client.chat.completions.create(
model="gpt-6-luna", # provider & model
messages=[{"role": "user", "content": "Hello"}],
)