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Qwen3.5-0.8B

Qwen3.5-0.8B is an Alibaba Cloud language model listed with text and vision capabilities, a 262,144-token context window, and open-standard function calling.

shipped Nov 6, 2026freemium
Domain rating91Monthly visits53K/mo
Qwen3.5-0.8B — product screenshot

Why it matters

1Model name: Qwen3.5-0.8B
2Listed context window: 262,144 tokens
3Supports text and vision
4Open-standard function calling

About Qwen3.5-0.8B

Headquarters
Hangzhou, China
Funding
Acquired
Platforms
Web, API
Target Audience
Businesses seeking AI and cloud solutions

Pricing Plans

AI Token Plan
$6/mo
  • • Build more, spend less — one plan, every modality.

Leadership

Jack MaCo-founder

Investors

Alibaba Group

Screenshots

overview

What is Qwen3.5-0.8B?

Qwen3.5-0.8B is a compact multimodal language model developed by Alibaba Cloud that enables businesses to deploy AI models for supported applications. It supports text and vision and is listed with a 262,144-token context window. The model has also been demonstrated to be modifiable through direct parameter editing by another AI model to improve benchmark performance.

features

Key Features of Qwen3.5-0.8B

Alibaba Cloud lists Qwen3.5-0.8B as a text-and-vision model for AI-native applications. Its specifications and related service details include:

  • Text and vision multimodality
  • 262,144-token context window
  • Open-standard function calling
  • Model performance can be modified through direct parameter editing by another AI model, as described in the supplied product information
  • Listed for AI model deployment and data analytics
  • Alibaba Cloud lists Slack and Microsoft Teams as integrations
  • Alibaba Cloud infrastructure and services are stated to hold ISO/IEC 27001 and ISO/IEC 27701 certifications and SOC 2 Type 2 compliance

use cases

Who Should Use Qwen3.5-0.8B?

The stated target audience is businesses seeking AI and cloud solutions. Listed use cases include AI model deployment, data analytics, and e-commerce support.

  • Businesses deploying AI models
  • Organizations applying AI to data analytics
  • E-commerce businesses seeking AI support
  • Businesses evaluating Alibaba Cloud products and services

how to use

How to Use Qwen3.5-0.8B

Start from Alibaba Cloud’s Qwen product page and review the available model and pricing options. The supplied information does not specify a model-specific API endpoint or deployment procedure.

  • 1Open the Alibaba Cloud Qwen product page.
  • 2Review the free tier and the AI Token Plan listed at $6/month.
  • 3Check which model access and features are included in the plan before subscribing.
  • 4Choose a supported Alibaba Cloud deployment or application workflow.
  • 5Review data-retention settings and enable Zero Data Retention if required.

pricing

Qwen3.5-0.8B Pricing & Plans

The supplied pricing information identifies a free tier and an AI Token Plan priced at $6 per month. It does not specify the free tier’s limits or which Qwen3.5-0.8B capabilities are included in either option; verify current plan details with Alibaba Cloud.

  • Free tier: available; limits and included features are not specified.
  • AI Token Plan: $6/month; included usage and model-specific terms are not specified.

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Pros

  • +Listed with a 262,144-token context window.
  • +Supports both text and vision.
  • +Includes open-standard function calling in its listed capabilities.
  • +Product information describes direct parameter editing by another AI model to improve benchmark performance.
  • +Alibaba Cloud lists a free tier.

Cons

  • −The supplied information does not provide model-specific API availability or an API endpoint.
  • −Free-tier usage limits and included Qwen3.5-0.8B features are not specified.
  • −The supplied $6/month AI Token Plan description does not specify included usage or whether it grants access to this model.
  • −Alibaba Cloud Model Studio is stated not to offer HIPAA alignment or a business associate agreement for model inference calls.
  • −Default data retention is stated as 30 days; zero-day retention requires enabling Zero Data Retention.

Similar Tools

Qwen3.5-0.8B vs Competitors

The comparisons below reflect the supplied descriptions of these models and do not establish equivalent benchmark results or licensing terms beyond those stated.

1
SmolLM2↗

Trained openly by Hugging Face on curated educational datasets specifically optimized for edge deployment and in-browser lightweight inference.

You sacrifice some multilingual depth compared to Qwen, but you get completely open training datasets and intermediate checkpoints for easier parameter experimentation.

2

Offers native 128k context support and strong multilingual dialogue tuning backed by the broadest third-party tool and quantization ecosystem.

It has a slightly larger memory footprint than sub-1B checkpoints and comes under Meta's custom community license rather than a permissive Apache-style license.

3
H2O-Danube3-500M↗

An ultra-compact 500M parameter model pre-trained on 4 trillion tokens designed specifically for native, low-power execution on mobile phones under Apache 2.0.

Its training is predominantly focused on English, meaning you lose the extensive multilingual and Asian-language capabilities native to the Qwen family.

4
TinyLlama 1.1B↗

Mirrors standard Llama architecture exactly at compact scale, making it compatible out-of-the-box with virtually all existing Llama fine-tuning scripts and parameter-editing workflows.

Because it represents an earlier wave of small models, its out-of-the-box instruction following and complex reasoning lag behind newer compact architectures.

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