# Qwen Releases Compact 30B MoE for Coding Agents

> The new Apache 2.0 model from Alibaba's Qwen team uses a Mixture-of-Experts architecture to deliver strong performance with only 3B active parameters.

Published by The Open Weights on Jul 31, 2025. Canonical: https://theopenweights.com/news/qwen3-coder-30b-a3b-lsuz

## Key facts

- Company: Qwen · Alibaba
- Model: Qwen3-Coder-30B-A3B-Instruct
- Version: Qwen3-Coder-30B-A3B
- Category: Code
- Modalities: Code, Text / LLM
- License: Apache 2.0 (Open weights, commercial use allowed)
- Parameters: 30B (mixture of experts)
- Active parameters: 3.3B
- Context window: 262K tokens
- Architecture: Qwen3MoeForCausalLM
- Precision: BF16
- Weights size: 61.1 GB
- Significance: notable
- Published: 2025-07-31
- Last verified: 2026-06-17
- Hugging Face: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct
- Canonical URL: https://theopenweights.com/news/qwen3-coder-30b-a3b-lsuz

Alibaba's Qwen team has released Qwen3-Coder-30B-A3B-Instruct, a new open-source model specialized for code generation and agentic tasks. Published under the permissive Apache 2.0 license, the model is designed to offer a balance of high performance and computational efficiency for developers building AI-powered tools.

The model's architecture is a key feature. It is a Mixture-of-Experts (MoE) model with a total of 30 billion parameters, but it only activates 3 billion of them during any given inference pass. This design allows it to access a large repository of knowledge while keeping the computational cost relatively low, making it more accessible to run on consumer-grade hardware compared to dense models of a similar size.

## Key Specifications

*   **Total Parameters:** 30 billion
*   **Active Parameters:** 3 billion (MoE)
*   **Context Length:** 262,144 tokens
*   **License:** Apache 2.0

The combination of an efficient MoE architecture and a very long 262k token context window makes Qwen3-Coder particularly well-suited for building autonomous coding agents. These agents require the ability to understand large codebases and maintain context over complex, multi-step tasks. You can find the model and further details on its [Hugging Face repository page](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct). Its release provides another strong, permissively licensed option for teams looking to integrate advanced code generation into their workflows.

## Get the model

- [Hugging Face](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct)

## Sources

- [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) — Hugging Face, Jul 31, 2025

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "Qwen Releases Compact 30B MoE for Coding Agents", The Open Weights, Jul 31, 2025, https://theopenweights.com/news/qwen3-coder-30b-a3b-lsuz