ClaudeAnthropicClosed weights

Claude Sonnet 5.5.

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-defined everyday work and follows Claude Sonnet 5 as a direct upgrade. Its strengths lie in building features, fixing bugs and creating documents, presentations and spreadsheets. Thinking is always on and the effort controls depth and latency; the model processes text, images and files with a context of one million tokens.

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base_url="https://api.noirdoc.de/v1" model="claude-sonnet-5-5"

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 Google Vertex Contracting party: Google Cloud EMEA Limited · based in Dublin, Ireland

§ 203 German Criminal Code (StGB): Confidentiality agreed with Google Vertex
Weights: Closed weights
Features: Tools, Vision, Reasoning and JSON

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Providers.

We offer Claude Sonnet 5.5 through these providers.

Provider § 203 model=

€ · 1M tokens Input Cache Read Cache Write Output

Anthropic EU EU data residency via Google Vertex

§ 203 agreed

claude-sonnet-5-5

Input 1.97 Cache Read 0.20 Cache Write 4.46 Output 9.83

More models.

Anthropic develops the Claude models in the Opus, Sonnet and Haiku tiers. They are known for long-running agents and code.

All Claude models →

Model

€ · 1M tokens Input Cache Read Cache Write Output

Claude Opus 5.5 Tools Vision Reasoning JSON Opus-class Claude model for demanding reasoning — long-running agents, code review and multi-step changes across large codebases.

Anthropic · EU

Input 3.93 Cache Read 0.20 Cache Write 4.92 Output 19.67

Claude Haiku 4.5 Tools Vision Reasoning JSON Compact Claude model — for high volumes, classification and latency-critical applications.

Anthropic · EU

Input 1.00 Cache Read 0.10 Cache Write 1.25 Output 5.00

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.

python · openai sdk api.noirdoc.de/v1

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="claude-sonnet-5-5",  # provider & model
    messages=[{"role": "user", "content": "Hello"}],
)