Anthropic Models

Anthropic's most capable widely released model, built for the most demanding reasoning and long-horizon agentic work. Offers a 1M-token context window with 128k max output and always-on adaptive thinking, excelling at autonomously exploring underspecified tasks, planning, and carrying long-running coding and multi-agent orchestration further before it needs human input.

A daily-driver Sonnet-tier model aimed at bringing near-frontier agentic, coding, and knowledge-work capability at a lower operating cost. Its default 1M-token context and adaptive thinking fit long documents, codebases, and multi-step tool workflows; for the deepest reasoning or restricted high-risk security work, evaluate higher-tier or specialized models.

Built for 旗舰推理与复杂代理 tasks, advancing beyond Claude Opus 4.7 in long context, coding, tool use, and complex planning. Compared with flagship models such as GPT, Gemini, and Qwen, it is well suited to reliable agents, codebase maintenance, and deep research workflows.

Built for 旗舰推理与复杂代理 tasks, advancing beyond Claude Opus 4.6 in long context, coding, tool use, and complex planning. Compared with flagship models such as GPT, Gemini, and Qwen, it is well suited to reliable agents, codebase maintenance, and deep research workflows.

The extended thinking variant of Anthropic Claude Sonnet 4.6, enabling chain-of-thought reasoning for complex problems. Excels in coding, codebase navigation, project management, document creation, and agentic tasks with text and image input. 1M context window, outperforms the standard version on tasks requiring deep reasoning, ideal for complex software engineering and multi-step planning.

Built for 高效编码与代理 tasks, advancing beyond Claude 4.5/4.6 前序版本 in long context, coding, tool use, and complex planning. Compared with flagship models such as GPT, Gemini, and Qwen, it is well suited to reliable agents, codebase maintenance, and deep research workflows.

Built for 旗舰推理与复杂代理 tasks, advancing beyond Claude 4.5/4.6 前序版本 in long context, coding, tool use, and complex planning. Compared with flagship models such as GPT, Gemini, and Qwen, it is well suited to reliable agents, codebase maintenance, and deep research workflows.

Built for 旗舰推理与复杂代理 tasks, advancing beyond Claude 4 系列前序版本 in long context, coding, tool use, and complex planning. Compared with flagship models such as GPT, Gemini, and Qwen, it is well suited to reliable agents, codebase maintenance, and deep research workflows.

Built for 高效编码与代理 tasks, advancing beyond Claude Haiku 3.5 in long context, coding, tool use, and complex planning. Compared with flagship models such as GPT, Gemini, and Qwen, it is well suited to reliable agents, codebase maintenance, and deep research workflows.

Built for 旗舰推理与复杂代理 tasks, advancing beyond Claude Opus 4.6 in long context, coding, tool use, and complex planning. Compared with flagship models such as GPT, Gemini, and Qwen, it is well suited to reliable agents, codebase maintenance, and deep research workflows.