Qwen/Qwen3-Coder-30B-A3B-Instruct is a 30.5 billion parameter (3.3 billion activated) causal language model developed by Qwen, featuring a Mixture-of-Experts (MoE) architecture with 128 experts. This model is specifically optimized for agentic coding, agentic browser-use, and foundational coding tasks, offering native support for a 262,144-token context length. It excels in tool calling capabilities and is designed for repository-scale code understanding.
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Qwen3-Coder-30B-A3B-Instruct Overview
Qwen3-Coder-30B-A3B-Instruct is a specialized causal language model from Qwen, designed with a Mixture-of-Experts (MoE) architecture. It features 30.5 billion total parameters with 3.3 billion activated, making it efficient while maintaining strong performance.
Key Capabilities & Features
- Agentic Coding: Demonstrates significant performance in agentic coding and browser-use tasks, supporting platforms like Qwen Code and CLINE with a specially designed function call format.
- Extended Context Length: Offers native support for a 262,144-token context, extendable up to 1 million tokens using Yarn, optimized for understanding large codebases.
- Tool Calling: Excels in tool calling capabilities, allowing for seamless integration with custom tools and functions.
- MoE Architecture: Utilizes a MoE setup with 128 experts and 8 activated experts, contributing to its efficiency and performance.
Recommended Use Cases
This model is particularly well-suited for:
- Code Generation and Understanding: Ideal for tasks requiring deep comprehension and generation of code, especially at a repository scale.
- Agentic Workflows: Excellent for applications involving automated coding agents and browser interaction.
- Tool-Augmented Systems: Its strong tool calling capabilities make it suitable for systems that leverage external functions and APIs.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.