Qwen3-Coder-Next

qwen3-coder-next 🇮🇹 Italy

Qwen3-Coder-Next di Alibaba (febbraio 2026), addestrato per il codice e per gli agenti di programmazione: scrive, spiega e modifica codice in tutto un progetto. Usa anche gli strumenti. Una mistura di esperti da 80 miliardi di parametri, circa 3 per token, quindi veloce quanto il 30B. Contesto di 262.144 token, pesi a 8 bit.

At a glance

Publisher	Alibaba (Qwen)
Architecture	Mixture of experts, 80 billion parameters, about 3 billion per token
Licence	Apache 2.0
Precision	FP8, 8 bits (Qwen)
Context	262,144 tokens, prompt and answer together
Longest answer	`max_tokens` up to 8,192
Reads	Text
Calls tools	Yes
JSON schema	Yes
Reasons	No, as served: it answers straight away.
Runs in	🇮🇹 Italy
Status	Loaded: the first request answers without a start-up wait. Live state on Status.
Price	CHF 0,15 input · CHF 0,80 output, per million tokens, excluding VAT. All prices

Use it

curl https://api.ai-tokens.it/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-coder-next",
    "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.ai-tokens.it/v1", api_key=os.environ["API_KEY"])
answer = client.chat.completions.create(
    model="qwen3-coder-next",
    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 262,144 tokens; beyond that the engine refuses the request with a 400 that says so.
Text only: a request with an image gets a 400.
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.