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QwenAlibaba CloudOpen weights

Qwen 3.6 35B A3B.

Qwen 3.6 35B A3B is Alibaba Cloud's open multimodal mixture-of-experts model with 35 billion parameters, of which 3 billion are active per token. It processes text, images and video with 262K context, integrated thinking across multiple conversation turns, function calling and structured outputs.

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base_url="https://api.noirdoc.de/v1" model="qwen3.6-35b"

  • Data centres in Germany
  • § 203 confidentiality
  • Zero retention
  • List prices

Details.

Where the model runs, which rules apply and what it can do.

  1. Data centres in Germany AKI.IO Contracting party: AKI.IO GmbH · based in Berlin, Germany
§ 203 German Criminal Code (StGB)
Confidentiality agreed with AKI.IO
Weights
Open weights
Features
Tools, Vision, Reasoning and JSON
See how this looks in your account →
Map: Qwen 3.6 35B A3B runs in data centres in Germany (AKI.IO).

Providers.

We offer Qwen 3.6 35B A3B through these providers.

Provider § 203 model=
€ · 1M tokens Input Cache Read Cache Write Output
AKI.IO DE German data centres
§ 203 agreed
qwen3.6-35b
Input 0.15 Output 0.50

More models.

Alibaba Cloud's Qwen series covers open models for chat, reasoning, code, vision and embeddings in many sizes.

All Qwen models →
Model
€ · 1M tokens Input Cache Read Cache Write Output
Qwen 3.8 27B Tools Vision Reasoning JSON Compact Qwen model with 27B parameters — a balanced generalist for chat, reasoning and tool calls. weber.cloud Logo weber.cloud · DE AKI.IO Logo AKI.IO · DE
Input from 0.15 Cache Read 0.10 Output 0.65
Qwen 3.5 397B A17B Tools Vision Reasoning JSON Large Qwen MoE with 397B parameters, 17B of them active — for code, agents and image and video understanding. IONOS Logo IONOS · DE
Input 0.60 Cache Read — Output 3.60
Qwen 3.5 9B Tools Vision Reasoning JSON Compact multimodal Qwen model with 9B parameters — an efficient architecture for reasoning, code and image understanding. Regolo Logo Regolo · EU
Input 0.10 Cache Read — Output 0.20
Qwen3-Coder-Next Code Tools JSON Specialised code model for generation, refactoring and agentic dev workflows. IONOS Logo IONOS · DE
Input 0.15 Cache Read — Output 0.80
Qwen3-VL Embedding 8B Embeddings Large multimodal embedding model for demanding search and RAG applications. IONOS Logo IONOS · DE
0.11 € per 1M tokens
Qwen3-VL Reranker 8B Reranking Reranker for more precise hits in RAG pipelines — reorders search results. IONOS Logo IONOS · DE
0.045 € per 1M tokens

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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="qwen3.6-35b",  # provider & model
    messages=[{"role": "user", "content": "Hello"}],
)