---
title: Qwen3.5-35B-A3B — Efficient Multimodal LLM | ModelsLab
description: Generate with Qwen3.5-35B-A3B: 3B active parameters, 256K context, multimodal reasoning. Try the efficient sparse MoE model now.
url: https://modelslab.com/qwen-qwen35-35b-a3b
canonical: https://modelslab.com/qwen-qwen35-35b-a3b
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:07:52.986747Z
---

Available now on ModelsLab · Language Model

Qwen: Qwen3.5-35B-A3B
35B Parameters. 3B Active.
---

[Try Qwen: Qwen3.5-35B-A3B](/models/alibaba_cloud/qwen-qwen3.5-35b-a3b) [API Documentation](https://docs.modelslab.com)

Efficiency Meets Multimodal Power
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Sparse Architecture

### 3B Active Parameters

Only 3B of 35B activate per token, outperforming 235B models with minimal compute overhead.

Native Multimodal

### Text, Vision, Documents

Unified vision-language foundation handles images, documents, and text in single inference pass.

Massive Context

### 256K Native Context

Process entire documents and conversations natively, extensible to 1M tokens for complex workflows.

Examples

See what Qwen: Qwen3.5-35B-A3B can create
---

Copy any prompt below and try it yourself in the [playground](/models/alibaba_cloud/qwen-qwen3.5-35b-a3b).

Code Analysis

“Analyze this Python function for performance bottlenecks and suggest optimizations using vectorization and caching strategies.”

Document Summarization

“Extract key findings, methodology, and conclusions from this research paper into a structured summary.”

Visual Reasoning

“Describe the architectural elements and design principles visible in this building photograph.”

Multilingual Translation

“Translate this technical documentation from English to Mandarin, preserving formatting and technical terminology accuracy.”

For Developers

A few lines of code.
Efficient inference. Massive context.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Qwen: Qwen3.5-35B-A3B
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[Read the docs ](https://docs.modelslab.com)

### What makes Qwen3.5-35B-A3B more efficient than larger models?

### Can Qwen3.5-35B-A3B handle images and documents?

### What languages does Qwen3.5-35B-A3B support?

### How does Qwen3.5-35B-A3B perform on coding tasks?

### What are the minimum hardware requirements?

### Is Qwen3.5-35B-A3B open source?

Ready to create?
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Start generating with Qwen: Qwen3.5-35B-A3B on ModelsLab.

[Try Qwen: Qwen3.5-35B-A3B](/models/alibaba_cloud/qwen-qwen3.5-35b-a3b) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*