Qwen3.6 35B

qwen3.6-35b 🇨🇭 Switzerland

Qwen3.6 35B A3B by Alibaba, a mixture of experts that uses about 3 billion parameters per token: fast and low-cost. For chat, summaries, translation and extracting fields from text. Reads images. As served it answers without reasoning first. Context of 32,768 tokens, 8-bit weights.

At a glance

Publisher	Alibaba (Qwen)
Architecture	Mixture of experts, 35 billion parameters, about 3 billion per token
Licence	Apache 2.0
Precision	FP8, 8 bits (Qwen)
Context	32,768 tokens, prompt and answer together
Longest answer	`max_tokens` up to 8,192
Reads	Text and images
Calls tools	Yes
JSON schema	Yes
Reasons	No, as served: it answers straight away.
Runs in	🇨🇭 Switzerland
Status	Loaded: the first request answers without a start-up wait. Live state on Status.
Price	CHF 0.10 input · CHF 0.70 output, per million tokens, excluding VAT. All prices
In `auto`	The lower-cost model of the automatic model selection.

Use it

curl https://api.aitokens.ch/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-35b",
    "messages": [{"role": "user", "content": "Summarise in one line: the meeting moves to Thursday at 10."}]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.aitokens.ch/v1", api_key=os.environ["API_KEY"])
answer = client.chat.completions.create(
    model="qwen3.6-35b",
    messages=[{"role": "user", "content": "Summarise in one line: the meeting moves to Thursday at 10."}],
)
print(answer.choices[0].message.content)

More in Quickstart and Chat completions.

Limits

Prompt and answer together stay within 32,768 tokens; beyond that the engine refuses the request with a 400 that says so.
A request goes only to the zones your key allows; if the model has no machine there now, a 503 names the zones. It is never sent elsewhere.