就是阻击OpenAI，Claude抢先数十分钟发布Claude Opus 4.1

Core Viewpoint - The article discusses the competitive landscape in AI model development, highlighting the release of Anthropic's Claude Opus 4.1 shortly before OpenAI's anticipated announcement, suggesting a strategic move by Anthropic to capture market attention [1][2]. Summary by Sections Model Release and Features - Anthropic has launched Claude Opus 4.1, which is built on the previous Claude Opus 4 model released in May. The new model shows significant improvements in agent tasks, real-world programming, and reasoning capabilities, featuring a context window of approximately 200K [7]. - Claude Opus 4.1 is available for various user tiers, including Claude Pro, Max, Team, and Enterprise [8]. Pricing and Cost Efficiency - The API pricing for Claude Opus 4.1 is set at $15 per million input tokens and $75 per million output tokens. Users can save up to 90% on costs with prompt caching and up to 50% with batch processing [10][11]. Performance Improvements - According to GitHub evaluations, Claude Opus 4.1 has outperformed its predecessor in most capabilities, particularly in multi-file code refactoring. Users from Rakuten Group noted its precision in handling large codebases without introducing new bugs [14]. - The performance leap of Claude Opus 4.1 is compared to the upgrade from Sonnet 3.7 to Sonnet 4, indicating substantial advancements [15]. Benchmark Comparisons - In various benchmarks, Claude Opus 4.1 shows superior performance compared to other models, achieving 74.5% in agentic coding SWE-bench and 80.9% in graduate-level reasoning GPQA Diamond [16]. Use Cases - Claude Opus 4.1 supports mixed reasoning modes for instant responses and detailed reasoning processes. It is particularly effective in advanced programming tasks and intelligent search and research applications, capable of conducting extensive autonomous research across diverse data sources [17][18]. Additional Information - Anthropic has also released a system card alongside the new model, providing further insights into its functionalities [19].