同时，Doubao-Seed-Code是国内首个支持视觉理解能力的编程模型，它可参照UI设计稿、截图或手绘草图生成代码，或对生成页面进行视觉比 对，自主完成样式修复和Bug修复，大幅提升前端开发效率。 首款豆包编程模型，来了！ 智东西11月11日报道，今天，字节跳动旗下云和AI服务平台火山引擎，发布了豆包大模型家族中的首款编程模型——Doubao-Seed-Code。这 是一款专门面向Agentic Coding任务优化的编程模型，并在性价比上实现了突破。 性能方面，在业内多个主流编程测评集中，Doubao-Seed-Code的得分超过了DeepSeek-V3.1、Kimi-K2、GLM-4.6等国产模型，整体表现仅次于 当前AI编程领域的顶级模型——Claude Sonnet 4.5。此外，Doubao-Seed-Code拥有原生256K上下文，比Claude Sonnet 4.5的200K上下文还要 高。 榜单之外，Doubao-Seed-Code还注重在真实编程场景的落地。得益于其专门面向主流开发工具的优化，无论是Claude Code、Trae还是veCLI 的用户，都能轻松上手，并获得稳定的输出效果 ...

Core Insights - Alibaba has launched a new open-source AI programming model, Qwen3-Coder, which has achieved top programming capabilities in the global open-source model landscape, surpassing closed-source models like GPT-4.1 and rivaling the strongest programming model, Claude4 [1] Group 1 - The Qwen3-Coder model has made significant breakthroughs in code generation and agent invocation capabilities [1] - With Qwen3-Coder, entry-level programmers can accomplish in one day what experienced programmers would typically complete in a week [1] - The model enables the creation of a brand website in as little as five minutes [1]

Core Viewpoint - Deepseek-R1 0528 demonstrates strong performance in front-end development tasks, comparable to OpenAI's Opus 4 and surpassing Sonnet 4 and Gemini 2.5 Pro, especially considering the price difference [3][4][51]. Group 1: Model Performance Comparison - In front-end capabilities, Deepseek-R1 0528 slightly lags behind Opus 4 but outperforms Sonnet 4 and Gemini 2.5 Pro [3]. - Deepseek-R1 0528 successfully completed complex tasks that Opus 4 struggled with, although the quality and completion rate were slightly lower [3][4]. - The price of Deepseek-R1 0528 is significantly lower than Opus 4, making its performance even more impressive [4][51]. Group 2: Testing Results - In the warehouse management system test, Deepseek-R1 0528 produced a professional interface with complete functionality, while other models failed to deliver usable outputs [11]. - For the dot animation editor, Deepseek-R1 0528 excelled, providing a fully functional interface, while other models either failed to animate or had significant issues [17]. - In the gradient color extraction tool test, Deepseek-R1 0528 showcased excellent aesthetic design but failed to implement the color extraction logic, while Opus 4 and Sonnet 4 managed to complete the functionality albeit with simpler designs [20][21]. Group 3: Overall Implications - The advancements in Deepseek-R1 0528 suggest a shift in the AI programming model landscape, where high-quality outputs can be achieved at a fraction of the cost compared to leading competitors [51]. - The performance of Deepseek-R1 0528 indicates a potential democratization of access to advanced AI tools, allowing more users to leverage powerful models without prohibitive costs [51].