Claude-Opus-4.1

Claude Opus 4.1 is designed as a high-performance model focused on agentic reasoning and software engineering. It excels at navigating large, complex codebases, offering improved precision in multi-file refactoring and bug identification. By prioritizing context-aware style adaptation and detail tracking, the model is built to handle long-horizon tasks that require synthesizing information across multiple sources. Its architecture supports a hybrid approach to reasoning, allowing users to balance rapid responses with more deliberate, step-by-step analytical processing.

Building upon the foundation of its predecessor, this model incorporates refinements that enhance its reliability in real-world development environments. It demonstrates significant gains in coding accuracy, achieving a 74.5% score on the SWE-bench Verified benchmark. The model provides developers with flexible control through adjustable thinking budgets, enabling a tailored balance between performance and efficiency. With its focus on minimizing unnecessary adjustments during debugging, it serves as a robust tool for professional workflows that demand high-fidelity output and consistent, agent-assisted execution.