On July 23, 2025, Alibaba Group officially launched Qwen3โCoder, an openโsource artificial intelligence model tailored for software development and autonomous coding tasks. The announcement positions Qwen3โCoder as the companyโs most advanced coding model to date, boasting unprecedented scale and performance capabilities designed to meet the complex needs of modern software engineering teams .
The flagship variant, Qwen3โCoderโ480BโA35BโInstruct, comprises a 480โฏbillionโparameter MoE model with 35โฏbillion active parameters, natively supporting context windows up to 256โฏK tokens and extendable to 1โฏmillion tokens via extrapolation techniques. This expansive context length allows the model to maintain coherence over large codebases, documentation, and multiโfile projects without losing track of dependencies.
Model Specifications and Capabilities of Qwen3โCoder
Key technical highlights include:
Extensive Benchmarks: According to Alibaba, Qwen3โCoder outperforms all existing openโsource coding models on benchmarks such as SWEโBenchโVerified and agentic coding evaluations, demonstrating superior accuracy, efficiency, and code quality .
Agentic Coding Framework: Leveraging longโhorizon reinforcement learning (Agent RL), Qwen3โCoder can autonomously plan coding tasks, invoke external developer tools, and selfโcorrect based on feedback loops, mirroring realโworld software engineering processes .
Dual Thinking Modes: A unified thinking and nonโthinking mode enables the model to adapt computational budgets dynamically, toggling between rapid response for straightforward scripts and deeper reasoning for intricate algorithmic challenges .
Performance Benchmarks
In internal benchmarks, Qwen3โCoder outperformed leading domestic competitors including DeepSeek and Moonshot AIโs K2 on key coding metrics, such as code generation accuracy and multiโfile debugging. Moreover, Alibaba claims parity with top U.S. modelsโnamely OpenAIโs GPTโ4 and Anthropicโs Claudeโon standard coding challenges, underscoring its competitiveness on a global scale .
| Model | Runtime Failures (%) | Grammar Errors (%) | Zero-Score Rate (%) | Total Failures (%) | Max Score | Median Score | Median Gap (%) |
|---|---|---|---|---|---|---|---|
| OpenAI o4 mini (high) | 1.11 | 3.33 | 6.67 | 11.11 | 77.75 | 66.75 | 14.16 |
| Claude Sonnet 4 (Think) | 1.11 | 5.56 | 3.33 | 10.00 | 75.67 | 66.98 | 11.49 |
| Qwen3-Coder-480B-A35B | 5.56 | 4.44 | 10.00 | 20.00 | 72.85 | 52.04 | 28.57 |
| Gemini 2.5 Pro | 2.22 | 7.78 | 8.89 | 18.89 | 72.24 | 58.05 | 19.65 |
| DeepSeek R1 0528 | 3.33 | 5.56 | 13.33 | 22.22 | 69.36 | 49.25 | 29.00 |
| Claude Sonnet 4 | 3.33 | 4.44 | 7.78 | 15.55 | 68.26 | 61.02 | 10.60 |
| GPT-4.1 mini | 2.22 | 7.78 | 3.33 | 13.33 | 64.39 | 50.87 | 20.99 |
| Qwen3-235B-A22B-Instruct-2507 | 4.44 | 16.67 | 13.33 | 34.44 | 63.24 | 42.44 | 32.89 |
Trained on a massive 7.5 trillion token dataset, with over 70% of the data sourced from high-quality code repositories, Qwen3-Coder was further refined using reinforcement learning based on real-world development scenarios. This post-training fine-tuning significantly improved the modelโs execution success rate and robustness in generating correct and efficient code.
Qwen3-Coder is now available on Hugging Face and GitHub, and developers can access it via the Alibaba Cloud Model Studio API. It has also been integrated into Tongyi Lingma (Qwen Code), Alibabaโs AI coding assistant, providing seamless deployment for enterprise and individual developers alike.
Qwen Code
To facilitate broad adoption, Alibaba is concurrently releasing Qwen Code, a commandโline interface built on top of Gemini Cli that seamlessly connects Qwen3โCoder to popular development environments, version control systems, and CI/CD pipelines . This tool features:
- Custom Prompts & Function Calling: Preconfigured interaction patterns that guide developers through test generation, code review, and deployment tasks.
- Plugin Architecture: Extensible modules for integrating thirdโparty debuggers, linters, and performance profilers.
- Alibaba Cloud Model Studio Access: Oneโclick API provisioning, monitoring dashboards, and fineโtuning options within the Alibaba Cloud ecosystem .
Developers can install Qwen Code through the npm manager or use the source code from GitHub๏ผQwen Code supports OpenAI SDK calling LLM.
Getting Started
CometAPI is a unified API platform that aggregates over 500 AI models from leading providersโsuch as OpenAIโs GPT series, Googleโs Gemini, Anthropicโs Claude, Midjourney, Suno, and moreโinto a single, developer-friendly interface. By offering consistent authentication, request formatting, and response handling, CometAPI dramatically simplifies the integration of AI capabilities into your applications. Whether youโre building chatbots, image generators, music composers, or dataโdriven analytics pipelines, CometAPI lets you iterate faster, control costs, and remain vendor-agnosticโall while tapping into the latest breakthroughs across the AI ecosystem.
Developers can interact with Qwen3-Coder through a compatible OpenAIโstyle API, available via CometAPI . CometAPI, which offer Open source(qwen3-coder-480b-a35b-instruct) and commercial versions(qwen3-coder-plus; qwen3-coder-plus-2025-07-22)at the same price.The commercial version is 1M long. Sample code for Python (using the OpenAIโcompatible client) with best practices recommending sampling settings of temperatureย =ย 0.7, top_pย =ย 0.8, top_kย =ย 20, and a repetition_penaltyย =ย 1.05. Output lengths can extend up to 65,536 tokens, making it suitable for large code generation tasks.
To begin, explore modelsโs capabilities in theย Playgroundย and consult theย API guideย for detailed instructions. Before accessing, please make sure you have logged in to CometAPI and obtained the API key.