inference.eu

Code · Qwen (Alibaba Cloud)

Run Qwen3.6 35B A3B in the EU through an OpenAI-compatible API

Qwen3.6 35B A3B is the mixture-of-experts member of Alibaba's Qwen3.6 family: 35 billion parameters, only about 3 billion active per token, with image input, a thinking mode and 256K tokens of context. On inference.eu you call it with the OpenAI or Anthropic request format, processed in EU data centres and never used for training.

  1. 0135B · 3B
  2. 02EU data centres
  3. 03Apache 2.0

What Qwen3.6 35B A3B is

Qwen3.6 35B A3B was the first open-weight Qwen3.6 model, released in April 2026 under Apache 2.0. It has 35 billion parameters in total and about 3 billion active for each token, with a vision encoder for image input. Its 40 layers combine Gated DeltaNet linear attention and gated attention, each followed by a mixture-of-experts block.

The native context window is 262,144 tokens, extendable to about one million according to Qwen. Like the dense Qwen3.6 27B, it focuses on agentic coding, front-end work and repository-level reasoning, and supports thinking preservation, which keeps reasoning from earlier turns available in long sessions.

What it does well, and where it falls short

With only about 3 billion active parameters, this model answers fast and handles high request volumes efficiently, while still offering image input, tool calls and a long context. It works well for coding autocomplete-style help, quick agent steps, triage of screenshots and bulk text processing where a dense model would be slower.

The small active size has a cost: on harder reasoning, long code changes and nuanced writing, the dense Qwen3.6 27B or Qwen3.8 27B give better answers. Qwen advises keeping at least 128K tokens of context free for the thinking mode. For production-critical outputs, compare it against a larger model on a sample of real requests.

Calling Qwen3.6 35B A3B through the API

inference.eu uses the OpenAI request format, so the OpenAI SDKs, LangChain, LlamaIndex and coding tools work unchanged. Set the base URL to the inference.eu API, use your inference.eu key and set the model to qwen3.6-35b-a3b. The Anthropic Messages format is also available.

Thinking is on by default; pass enable_thinking: false in chat_template_kwargs through extra_body for direct answers, which suits high-volume tasks. Pass preserve_thinking: true to keep earlier reasoning in multi-turn sessions. Send images as image_url content parts. Because the request format is shared across models, switching to Qwen3.6 27B means changing only the model string.

Data residency for Qwen3.6 35B A3B

On inference.eu, Qwen3.6 35B A3B runs on infrastructure in the European Union. Prompts, images, code and responses are processed in EU data centres, are not sent to Alibaba in China, and are never used to train any model.

Every customer receives a data processing agreement under Article 28 of the GDPR and our list of subprocessors, so your records of processing can name every party involved. Billing is in euros, on one invoice across all models. The Apache 2.0 licence allows commercial use without user limits or revenue thresholds.

qwen3.6-35b-a3b · Python
import os
from openai import OpenAI

client = OpenAI(base_url="https://api.inference.eu/v1", api_key=os.environ["INFERENCE_EU_API_KEY"])

response = client.chat.completions.create(
    model="qwen3.6-35b-a3b",
    messages=[{"role": "user", "content": "Summarise this contract in five bullet points."}],
)
print(response.choices[0].message.content)

What teams use it for

  • 1

    Fast coding help

    Answer short code questions and suggest edits quickly inside an editor or chat tool.

  • 2

    Bulk text processing

    Classify, summarise or extract data from large volumes of tickets, emails or logs at low cost per request.

  • 3

    Quick agent steps

    Handle the simple steps of an agent workflow, such as lookups and routing, and leave hard steps to a larger model.

Qwen3.6 35B A3B: common questions

The questions buyers, developers and legal teams ask us most. Something missing? Ask us directly.

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