---
title: "Qwen3.6–35B-A3B: The Most Practical Open-Source AI Model Yet?"
url: https://daily.dev/posts/qwen3-6-35b-a3b-the-most-practical-open-source-ai-model-yet--eihfhk9n5
source_url: https://faun.pub/qwen3-6-35b-a3b-the-most-practical-open-source-ai-model-yet-d2aaac695efc
type: article
source: "Faun"
published: 2026-04-30T09:34:15.298Z
updated: 2026-04-30T09:34:46.050Z
tags: ["llm", "ai-coding", "vllm", "mixture-of-experts", "qwen"]
reading_time: 10
upvotes: 76
comments: 6
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Qwen3.6–35B-A3B: The Most Practical Open-Source AI Model Yet?

**[Faun](https://daily.dev/sources/faun)** · 10 min read · 76 upvotes · 6 comments

## Summary

Qwen3.6-35B-A3B is a Mixture-of-Experts open-source model with 35B total parameters but only ~3B active per request, making it highly efficient. It features a 262K context window (extendable to 1M with YaRN), multimodal support (text, image, video), and an Apache 2.0 license. The model is designed for agentic coding workflows, achieving top scores on SWE-bench Verified (73.4), Terminal-Bench 2.0 (51.5), and strong STEM reasoning benchmarks. Key architectural innovations include Gated DeltaNet linear attention and Grouped Query Attention (GQA). It supports a switchable thinking/non-thinking mode and a new thinking preservation feature that reuses reasoning across conversation turns. Deployment is supported via vLLM, SGLang, KTransformers, and Hugging Face.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://faun.pub/qwen3-6-35b-a3b-the-most-practical-open-source-ai-model-yet-d2aaac695efc>

## Community discussion

Top comments from developers on daily.dev.

**@theskylighter** · 2 upvotes

> since active 3b,
>
> so looking forward to run it on my humble laptop with 4gb VRAM & nvidia 1650.

**@calvadosaeronautics** · 1 upvotes

> I've tried it for a few days, then went back to gemma4. I don't get how benchmark can put qwen3.6 on top, gemma4 works so much better.

**@radmilomarkovic** · 0 upvotes

> Cool model to use for different tasks.

**@theskylighter** · 0 upvotes

> @calvadosaeronautics Hey so gemma 4 is better at coding than qwen3.6? Have you compared it to qwen2.5-coder:7b as well?

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-coding](https://daily.dev/tags/ai-coding), [#vllm](https://daily.dev/tags/vllm), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts), [#qwen](https://daily.dev/tags/qwen)

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