不怕Claude断供，豆包编程模型来了，5分钟造“我的世界”翻版，花费2毛钱

Core Insights - The launch of Doubao-Seed-Code, the first programming model from the Doubao model family by ByteDance's Volcano Engine, focuses on optimizing Agentic Coding tasks and offers a competitive price-performance ratio [1][3][33] Performance and Features - Doubao-Seed-Code outperforms several domestic models like DeepSeek-V3.1, Kimi-K2, and GLM-4.6, with scores only second to the top model Claude Sonnet 4.5, and features a native context of 256K, surpassing Claude Sonnet 4.5's 200K [1][3] - The model supports visual understanding, allowing it to generate code from UI design drafts, screenshots, or hand-drawn sketches, significantly enhancing front-end development efficiency [3][19] - Doubao-Seed-Code integrates seamlessly with popular development tools, enabling users to switch from Claude Code with minimal learning curve [7][31] Cost Efficiency - The model employs a tiered pricing model, with input costs at 1.20 yuan per million tokens and output costs at 8.00 yuan per million tokens, achieving a 62.7% reduction in overall usage costs with full transparent caching [4][31] Real-World Application - Doubao-Seed-Code has demonstrated capabilities in real programming scenarios, such as autonomously planning development tasks, quickly building front-end web pages, and modifying databases while actively fixing errors and optimizing structures [6][16] - The model can create functional prototypes based on detailed prompts, showcasing its ability to handle complex development tasks effectively [17][25] Training and Development - The model was trained using a large-scale Agent reinforcement learning system, utilizing a dataset covering 100,000 container images and providing an end-to-end sandbox environment for evaluation [27][29] - Doubao-Seed-Code's training process emphasizes pure reinforcement learning, achieving state-of-the-art performance in software engineering tasks without the need for distilled or labeled cold-start data [29] Market Position - The emergence of Doubao-Seed-Code addresses the supply risks faced by overseas AI programming models, providing developers with a stable and controllable alternative [33]