Alibaba Cloud (Qwen): Qwen3.8 Max

Overview

Alibaba's top Qwen model for complex reasoning, with thinking and non-thinking modes and image and video understanding.

Provider

ACAlibaba Cloud (Qwen)

Modality

Text and image

Input

text, image, video

Output

text

Weights

Closed

Supported parameters

tools, structured_outputs, response_format, reasoning, web_searchProvider's model page, checked October 8, 2026.

Distillable

NoLicence or terms, checked October 8, 2026.

Tags

reasoning, coding, vision, long-context

Docs

Provider documentation

Data policy

Prompts go to

Alibaba Cloud Model Studio (prices shown are for the Singapore / International deployment)

Retention

Alibaba Cloud states it never uses your data for model training, Model Studio stores data generated from model calls as required by law (no period stated)

Zero data retention

Not stated by the provider

Region

Singapore (International) for these prices, other regions such as China (Beijing), Hong Kong, Frankfurt, Virginia and Tokyo have separate price lists

Policy

Alibaba Cloud (Qwen) data policy

Summarised from the provider's published terms. The provider's own policy is what applies.

Where you can run it

How Qwen3.8 Max can be deployed, bought and reached through Safeguard.

Deployment

Public cloudPrivate cloud

Procurement

Not published yet

Inference regions

🇨🇳China🇺🇸United StatesCloud provider's availability page, checked October 8, 2026.

Closed weights stay with the provider, so this model runs in the provider's cloud, never on-prem or air-gapped.

Pricing

Notes

International (Singapore) deployment, 0 to 1M input tokens, both modes.

Source

Alibaba Cloud (Qwen) pricing , last verified October 8, 2026

No markup on model usage: you pay the provider's list price.

API

OpenAI-compatible. Your API key and access to this model are set up for your workspace when you choose Use with Safeguard.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.safeguard.sh/gpt/v1",
    api_key="SAFEGUARD_API_KEY",
)

response = client.chat.completions.create(
    model="qwen/qwen3.8-max",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Base URL https://api.safeguard.sh/gpt/v1, model qwen/qwen3.8-max.