Technical Specifications

Claude Sonnet 4.5 Thinking

Claude Sonnet 4.5 Thinking is a frontier-class hybrid reasoning model developed by Anthropic, engineered to provide a sophisticated balance between low-latency execution and high-fidelity cognitive processing. The model architecture introduces a dual-mode inference framework, allowing users to select between a standard response path and an extended thinking mode. In the latter, the model utilizes an internal scratchpad to perform multi-step planning, reflection, and self-correction before generating a final output. This transparent reasoning process is exposed to the user as a visible thought block, facilitating a more explainable and verifiable interaction for complex technical tasks.

Technically, the model is built upon an advanced transformer-based architecture optimized for agentic autonomy and long-horizon execution. It supports a standardized 200,000-token context window, with beta support for up to 1 million tokens, specifically designed to handle massive codebases and extensive document sets. Innovations in parallel tool execution and an improved attention mechanism enable the model to manage complex computer-use tasks, such as navigating file systems, executing shell commands, and coordinating multi-part software projects autonomously for periods exceeding 30 hours.

The system is primarily utilized in high-stakes environments where precision and sustained focus are mandatory. Its design excels in production-level software engineering, rigorous financial analysis, and the orchestration of autonomous agents. By integrating advanced memory management and checkpointing capabilities, the model allows for iterative development workflows where progress can be saved and referenced across long-duration sessions. This makes it a primary choice for developers building persistent AI agents that require both deep technical knowledge and the ability to reason through ambiguous, multi-step instructions.