Vertex (Anthropic)
Anthropic launches Claude Opus 4.6 with 1M-token context and improved coding skills. New features available for developers.
Model details
Claude Opus 4.5 is engineered to serve as a versatile, intelligent engine for demanding professional environments. Its design intent centers on high-level reasoning and practical utility, positioning it as a leading solution for software development, complex research, and multi-agent coordination. By excelling in real-world engineering benchmarks, the model demonstrates a specialized aptitude for writing code, debugging, and managing long-running, multi-step workflows. Beyond technical tasks, it is built to handle everyday enterprise requirements, such as interpreting spreadsheets and slides, making it a robust tool for knowledge workers like financial analysts and consultants.
The model represents a significant advancement in agentic AI, featuring capabilities that allow it to effectively orchestrate sub-agents for complex problem-solving. Through its development, the model has been refined to be more token-efficient and responsive, ensuring it remains performant during exhaustive, long-duration operations. Its architecture is optimized for computer use, enabling it to interact with desktop environments and external tools with greater precision. As a forward-looking system, it is designed to integrate seamlessly into modern developer platforms, providing a reliable foundation for teams looking to automate intricate processes and scale their engineering output.
Transparent token rates
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
Vertex (Anthropic)
Anthropic launches Claude Opus 4.6 with 1M-token context and improved coding skills. New features available for developers.
Vertex (Anthropic)
Anthropic's latest AI model is better at coding, sustaining tasks for longer and creating high-quality professional work.
Vertex (Anthropic)
The AI developer highlighted financial and legal tasks, as well as agent tool use, as particular strengths for the new model