Join waitlist
Back to products
Qwen3-Coder

Qwen3-Coder

A powerful open model for agentic coding tasks

Website github.com
Overview

What it is

Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. - QwenLM/Qwen3

Intent

I need it when

Generate and complete code in multiple programming languages with reasoning capabilities

Qwen3-Coder supports code generation across 100+ languages with both thinking mode (for complex logic, math, algorithms) and non-thinking mode (for fast, general-purpose completions). Developers can use it to accelerate coding tasks, debug, and solve algorithmic problems.

Build AI-powered developer tools or applications with a permissive open-source foundation

Qwen3's open weights and Apache 2.0 licensing allow developers to build commercial products, integrate into IDEs, create coding agents, or develop specialized tools without licensing restrictions.

Integrate advanced reasoning into code generation for complex problem-solving

Qwen3-Thinking mode enables extended reasoning with improved performance on logical reasoning, mathematics, science, and coding tasks. The model generates explicit reasoning steps before producing code, improving solution quality for non-trivial problems.

Fine-tune or customize a coding model for domain-specific or proprietary code patterns

Qwen3 supports post-training including SFT (Supervised Fine-Tuning) with frameworks like Axolotl and LLaMA-Factory. Teams can adapt the model to their codebase, coding standards, and specialized domains.

Deploy a local or self-hosted AI coding assistant without relying on external APIs

Qwen3 is open-source with weights available on Hugging Face and ModelScope. Users can download, quantize, and deploy models locally using frameworks like llama.cpp, Ollama, or vLLM, maintaining full control over data and inference.

Drop

Not a fit when

  • User requires commercial support or SLA guarantees; Qwen3 is open-source with community support only
  • User needs a managed API service with usage-based billing; Qwen3 requires self-hosting or deployment on user infrastructure
  • User lacks GPU resources or technical expertise to deploy and run large language models locally
  • User requires proprietary model weights or closed-source implementation; Qwen3 is fully open-source
  • User needs real-time inference at scale without managing infrastructure; Qwen3 requires deployment planning
Commercials

Pricing

Open-source model; free to download and use. Available via Hugging Face and ModelScope.