---
title: "Alibaba Tongyi Lab Open Sources Qwen3.6-35B-A3B Model"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/283029839.md"
description: "On April 16, Alibaba Tongyi Lab announced the open-sourcing of the Qwen3.6-35B-A3B model. This model employs a sparse Mixture of Experts (MoE) architecture with 35 billion total parameters, activating only 3 billion parameters per inference. Qwen3.6-35B-A3B significantly outperforms its predecessor Qwen3.5-35B-A3B in agent programming and can compete with larger dense models such as Qwen3.5-27B and Gemma-31B, while remaining compatible with mainstream coding assistants like OpenClaw, Claude Code, and Qwen Code"
datetime: "2026-04-16T15:57:24.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/283029839.md)
  - [en](https://longbridge.com/en/news/283029839.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/283029839.md)
---

# Alibaba Tongyi Lab Open Sources Qwen3.6-35B-A3B Model

On April 16, Alibaba Tongyi Lab announced the open-source release of Qwen3.6-35B-A3B. According to the introduction, this is an efficient model based on a sparse Mixture of Experts (MoE) architecture: it has a total of 35 billion parameters but activates only 3 billion parameters during each inference.

In terms of agent programming, Qwen3.6-35B-A3B substantially surpasses its predecessor Qwen3.5-35B-A3B and can hold its own against larger dense models such as Qwen3.5-27B and Gemma-31B, while maintaining compatibility with mainstream coding assistants including OpenClaw, Claude Code, and Qwen Code.

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