OpenAIClosed weights
GPT-5.6 Terra.
GPT-5.6 Terra is the middle model of the GPT-5.6 series, between Sol and Luna. It suits everyday coding, reasoning and agentic tasks where performance and cost should stay in balance.
base_url="https://api.noirdoc.de/v1" model="gpt-5.6-terra"
- 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-5.6 Terra through these providers.
Provider § 203 model=
€ · 1M tokens Input Cache Read Cache Write Output
Azure EU EU data residency via Azure Foundry
gpt-5.6-terra 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
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-6 Luna Tools Vision Reasoning JSON Fast and affordable GPT-6 model — for high volumes, chat, classification and light agentic workflows. Azure · EU 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
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 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-5.6-terra", # provider & model
messages=[{"role": "user", "content": "Hello"}],
)