Claude Opus 4.5

Claude Opus 4.5 model integrated via automation on 2025-11-24

Claude Haiku 4.5

Claude Haiku 4.5 matches Claude Sonnet 4's reasoning and coding strength while staying ultra-responsive for real-time and high-volume workloads. Extended thinking, controllable reasoning depth, and full tool-use support keep sub-agents fast without sacrificing quality.

Claude Sonnet 4.5

Claude Sonnet 4.5 is Anthropic's most advanced Sonnet model to date, optimized for real-world agents and coding workflows. Stronger agentic capabilities, speculative parallel execution, efficient memory and tool orchestration.

Claude Opus 4.7

Anthropic's next-generation Opus model, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. Especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, brings improved knowledge work capabilities from drafting documents and building presentations to analyzing data. Maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through.

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

Claude Opus 4.6

Anthropic's strongest model for coding and long-running professional tasks. Built for agents that operate across entire workflows rather than single prompts, excelling at large codebases, complex refactors, and multi-step debugging. Shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks. Also excels at sustained knowledge work, producing near-production-ready documents, plans, and analyses in a single pass.

Claude Opus 4.5

Claude Opus 4.5 model integrated via automation on 2025-11-24

Claude Haiku 4.5

Claude Haiku 4.5 matches Claude Sonnet 4's reasoning and coding strength while staying ultra-responsive for real-time and high-volume workloads. Extended thinking, controllable reasoning depth, and full tool-use support keep sub-agents fast without sacrificing quality.

Claude Sonnet 4.5

Claude Sonnet 4.5 is Anthropic's most advanced Sonnet model to date, optimized for real-world agents and coding workflows. Stronger agentic capabilities, speculative parallel execution, efficient memory and tool orchestration.

Claude Opus 4.7

Anthropic's next-generation Opus model, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. Especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, brings improved knowledge work capabilities from drafting documents and building presentations to analyzing data. Maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through.

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

Claude Opus 4.6

Anthropic's strongest model for coding and long-running professional tasks. Built for agents that operate across entire workflows rather than single prompts, excelling at large codebases, complex refactors, and multi-step debugging. Shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks. Also excels at sustained knowledge work, producing near-production-ready documents, plans, and analyses in a single pass.