---
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-frontend-v2-927501783998.us-east4.run.app/qwen-qwen35-35b-a3b
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen35-35b-a3b
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:44:58.702235Z
---

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?

It uses a sparse Mixture-of-Experts architecture that activates only 3B of 35B parameters per token. This design outperforms previous 235B models while requiring 8GB GPU memory, delivering superior efficiency without sacrificing reasoning or coding performance.

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

Yes. It's a native multimodal model with unified vision-language capabilities. It processes text, images, and documents within a 256K token context window, extensible to 1M tokens for complex multi-step workflows.

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

The model covers 201 languages and dialects with nuanced cultural understanding. This enables inclusive deployment across global markets without separate language-specific models.

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

It scores 61.6 on Terminal-Bench 2.0, surpassing Claude 4.5 Opus (59.3), and 78.8 on SWE-bench Verified. It also leads on MCPMark (48.2%) for tool-calling reliability in agentic workflows.

### What are the minimum hardware requirements?

With 4-bit quantization, it runs on 8GB GPU VRAM or 22GB Mac M-series. It supports bf16 and 4-bit quantization formats for flexible deployment across edge and consumer hardware.

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

Yes. It's available under Apache 2.0 license with open weights, enabling full customization and deployment without licensing restrictions.

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 - 2026-05-13*