Model Performance & Benchmarks - Claude Sonnet 4.5% is considered the best coding model, demonstrating a significant advancement in coding ability [1] - On SWE-bench verified evaluation, Claude Sonnet 4.5% outperforms Opus 4.1% by a substantial margin, exceeding almost 20 percentage points compared to GPT-4 Code Interpreter and Gemini 1.5 Pro [1] - The model achieves top scores on Terminal Bench (50%), agentic tool use, and computer use benchmarks, excelling in high school math (Amy 2025 with Python) with a 100% score [1] Long Horizon Tasks & Efficiency - AI's ability to complete long horizon tasks is exponentially increasing, with the task duration AI can handle doubling every 7 months [1] - Claude Sonnet 4.5% can think independently for over 30 hours, indicating its suitability for agentic applications [1] - The industry is shifting towards measuring AI intelligence per watt, emphasizing the importance of task and token efficiency [2] Future Applications & Industry Impact - Anthropic is showcasing a vision of the future of software with "Claude Imagine," demonstrating the ability to generate applications on the fly within a desktop environment [1][2] - Claude is increasingly used to write its own code, with Anthropic's CEO stating that it writes the majority of the code for Claude [9][10] - Box tested Claude Sonnet 4.5% for data extraction accuracy with Box AI on 40,000 fields across 1500+ documents, and the model performed four percentage points better than Sonnet 4 [3][4] Pricing & Availability - Claude Sonnet 4.5% is priced at $3 per million input tokens and $15 per million output tokens, the same as Sonnet 4 [11] - Anthropic recommends immediate upgrading to Claude Sonnet 4.5% for all use cases [11]

Model Performance - Anthropic 声称 Claude Sonnet 4.5 是“世界上最好的编码模型” [1] Product Announcement - Anthropic 发布 Claude Sonnet 4.5 [1]

Model Development & Application - Grok-code is being tuned to support long context workflows [1] - The company is exploring use cases for a 1 million-token context window in a coding model [1] Community Engagement - The company is soliciting input from the community on how to effectively utilize a large context window in coding models [1]

Model Performance & Capabilities - Quen 3, an open-source frontier coding model from Alibaba, was tested for various capabilities [1] - Quen 3 successfully generated code for a 2D Navier Stokes solver and a 3D rotating dodcahedron with bouncing spheres [1] - The model demonstrated spatial reasoning failure in a cube rotation task, but the code generation was successful [1] - Quen 3 passed a "needle in a haystack" test by finding a password within the entire book of Harry Potter and the Sorcerer's Stone [1] - The model exhibited censorship regarding Tiananmen Square [1] - Quen 3 refused to take a stance on political questions, providing balanced perspectives on Trump and Kamla [1][2] - The model provided a thoughtful and nuanced response to a prompt about quitting a job and leaving family [2][3][4][5] - Quen 3 refused to answer illegal questions, such as how to hotwire a car [6] - The model provided a correct diagnosis and management plan for acute anterior myocardial infarction [6][7] - Quen 3 gave a good answer to the trolley problem, evaluating morality using utilitarianism and deontology [7][8] - The model showed reasoning traces in its output when answering gotcha questions, although with some errors [11][12][13][14] Technology & Implementation - Together AI sponsors the use of Quen 3, offering high-performance serverless endpoints and pay-per-token pricing [1][2] - Quen Code, an open-source version of Claude Code, works well with Quen 3 and can be installed via npm [2] - The model has a massive context window, natively 256k tokens, with up to 1 million achieved [1]

Core Viewpoint - The company is integrating other coding models, such as ChatGPT, into its Xcode programming tool [1] Group 1 - The integration aims to enhance the capabilities of Xcode, making it more versatile for developers [1] - This move reflects the company's strategy to stay competitive in the software development landscape [1] - The inclusion of advanced coding models may improve developer productivity and innovation [1]