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QwenAlibaba CloudOpen weights

Qwen3-Coder-Next.

Qwen3-Coder-Next is the open code model of the Qwen series for coding agents, with 80 billion parameters, of which 3 billion are active per token. It works reliably on long coding tasks, complex tool use and recovery from failed executions, with 256K context and no thinking blocks in the output.

Get started → Providers and prices

base_url="https://api.noirdoc.de/v1" model="Qwen/Qwen3-Coder-Next"

  • 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 IONOS Contracting party: IONOS Cloud GmbH · based in Montabaur, Germany
§ 203 German Criminal Code (StGB)
Confidentiality agreed with IONOS
Weights
Open weights
Features
Tools and JSON
See how this looks in your account →
Map: Qwen3-Coder-Next runs in data centres in Germany (IONOS).

Providers.

We offer Qwen3-Coder-Next through these providers.

Provider § 203 model=
€ · 1M tokens Input Cache Read Cache Write Output
IONOS DE German data centres
§ 203 agreed
Qwen/Qwen3-Coder-Next
Input 0.15 Output 0.80

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
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-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-Coder-Next",  # provider & model
    messages=[{"role": "user", "content": "Hello"}],
)