Latest news with #Qwen3-Coder-480B-A35B-Instruct
Mid East Info
7 days ago
- Business
- Mid East Info
Alibaba Unveils Cutting-Edge AI Coding Model Qwen3-Coder - Middle East Business News and Information
Alibaba has launched Qwen3-Coder, its most advanced agentic AI coding model to date. Designed for high-performance software development, Qwen3-Coder excels in agentic AI coding tasks, from generating new codes and managing complex coding workflows to debugging across entire codebases. Built on a Mixture-of-Experts MoE architecture, this open-sourced model Qwen3-Coder-480B-A35B-Instruct, which has a total of 480 billion parameters but activates 35 billion parameters per token, delivers efficiency without sacrificing performance. The model achieves competitive results against leading state-of-the-art (SOTA) models across key benchmarks in agentic coding, browser use, and tool use. Qwen3-Coder-480B-A35B-Instruct achieves competitive results against leading state-of-the-art (SOTA) models across key benchmarks Additionally, Alibaba is open-sourcing Qwen Code, a powerful command-line interface (CLI) tool that enables developers to delegate engineering tasks to AI using natural language. Optimized with custom prompts and interaction protocols, Qwen Code unlocks the full potential of Qwen3-Coder for real-world agentic programming. The model also supports integration with the Claude Code interface, making it even easier for developers to execute their coding tasks. Trained on an extensive dataset of codes and general text data, Qwen3-Coder is engineered for robust agentic coding. It natively supports a context window of 256K tokens, extendable up to 1 million tokens, enabling it to process vast codebases in a single session. Its superior performance stems not only from scaling across tokens, context length, and synthetic data during pre-training, but also from innovative post-training techniques such as long-horizon reinforcement learning agent RL. This advancement allows the model to solve complex, real-world problems through multi-step interactions with external tools. As a result, Qwen3-Coder achieves SOTA performance among open-source models on SWE-Bench Verified (a benchmark for evaluating AI models' ability to solve real-world software issues), even without test-time or inference scaling. Agentic AI coding is transforming software development by enabling more autonomous, efficient, and accessible programming workflows. With its open-source availability, strong agentic coding capabilities, and seamless compatibility with popular developer tools and interfaces, Qwen3-Coder is positioned as a valuable tool for global developers in software development. The Qwen3-Coder-480B-A35B-Instruct model is now available on Hugging Face and GitHub. Developers can also access the model on Qwen Chat or via cost-effective APIs through Model Studio, Alibaba's generative AI development platform. Qwen-based coding models have already surpassed 20 million downloads globally. Tongyi Lingma, Alibaba Cloud's Qwen-powered coding assistant, will soon be upgraded with Qwen3-Coder's enhanced agentic capabilities. Since its launch in June 2024, Tongyi Lingma's 'AI Programmer' feature—offering code completion, optimization, debugging support, snippet search, and batch unit test generation—has generated over 3 billion lines of code. About Alibaba Cloud: Established in 2009, Alibaba Cloud is the digital technology and intelligence backbone of Alibaba Group. It offers a complete suite of cloud services to customers worldwide, including elastic computing, database, storage, network virtualization services, large-scale computing, security, big data analytics, machine learning and artificial intelligence (AI) services. Alibaba has been named the leading IaaS provider in Asia Pacific by revenue in U.S. dollars since 2018, according to Gartner. It has also maintained its position as one of the world's leading public cloud IaaS service providers since 2018, according to IDC.
Mint
23-07-2025
- Business
- Mint
Alibaba launches its ‘most advanced' open-source AI model Qwen3-Coder — All you need to know
China-based Alibaba deepened its presence in the artificial intelligence race as it announced on Wednesday the launch of an open-source AI coder. In a statement on Wednesday, Alibaba announced the launch of Qwen3-Coder. This AI model is designed for high-performance software development, it said. Alibaba touted Qwen-3 Coder as its most advanced AI coding model to date. The model excels in agentic AI coding tasks, from generating new codes and managing complex coding workflows, according to the statement. 'We're releasing Qwen3-Coder-480B-A35B-Instruct, our most powerful open agentic code model to date,' said a post on Qwen's X account. Qwen is the AI model made by Alibaba. This Qwen3-Coder is a 480B-parametre Mixture-of-Experts model (35B active), Qwen said. This AI model natively supports 256,000 context and scales to 1 million context with extrapolation, it said. While available in multiple sizes, Qwen introduced the 'most powerful' model yet. 'It achieves top-tier performance across multiple agentic coding benchmarks among open models, including SWE-bench-Verified,' said the X post. 'Alongside the model, we're also open-sourcing a command-line tool for agentic coding: Qwen Code. Forked from Gemini Code, it includes custom prompts and function call protocols to fully unlock Qwen3-Coder's capabilities. Qwen3-Coder works seamlessly with the community's best developer tools. As a foundation model, we hope it can be used anywhere across the digital world — Agentic Coding in the World,' it added. With Qwen3-Coder, the AI company is advancing along multiple dimensions to strengthen the model's core capabilities, according to a blog post. 'We are still actively working to improve the performance of our Coding Agent, aiming for it to take on more complex and tedious tasks in software engineering, thereby freeing up human productivity,' Qwen said. The company further teased more model sizes of Qwen3-Coder that will deliver strong performance while reducing deployment costs. 'Additionally, we are actively exploring whether the Coding Agent can achieve self-improvement—an exciting and inspiring direction,' it said.
