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QwenAlibaba CloudOpen weights

Qwen 3.5 9B.

Qwen 3.5 9B is the compact multimodal model of the Qwen 3.5 series with 9 billion parameters, built for reasoning, code and image understanding. Its unified vision-language design merges text and image tokens early, so the model reasons over both in the same context; it processes text, images and video with 262K context.

Get started → Providers and prices

base_url="https://api.noirdoc.de/v1" model="Qwen/Qwen3.5-9B"

  • Data centres in the EU
  • no § 203 agreement
  • Zero retention
  • List prices

Details.

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

  1. Data centres in the EU Regolo Contracting party: Seeweb S.r.l. · based in Frosinone, Italy
§ 203 German Criminal Code (StGB)
No provider of this model has a confidentiality agreement
Weights
Open weights
Features
Tools, Vision, Reasoning and JSON
See how this looks in your account →
Map: Qwen 3.5 9B runs in data centres in the EU (Regolo).

Providers.

We offer Qwen 3.5 9B through these providers.

Provider § 203 model=
€ · 1M tokens Input Cache Read Cache Write Output
Regolo EU EU data centres (Italy)
no § 203
Qwen/Qwen3.5-9B
Input 0.10 Output 0.20

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 3.6 35B A3B Tools Vision Reasoning JSON Efficient Qwen MoE — strong in multilingual work and reasoning at low cost. AKI.IO Logo AKI.IO · DE
Input 0.15 Cache Read — Output 0.50
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
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="Qwen/Qwen3.5-9B",  # provider & model
    messages=[{"role": "user", "content": "Hello"}],
)