Claude Opus 4.5

Claude Opus 4.5 is Anthropic's premium Opus model for high-complexity coding, long-horizon agent execution, and sustained technical reasoning.

Overview

Claude Opus 4.5 is an Opus-tier Anthropic model exposed through OpenRouter for advanced engineering and professional reasoning workloads. It targets scenarios where a model must maintain quality over long sessions, navigate complex instructions, and handle difficult code or architecture decisions without frequent resets.

Relative to Sonnet and Haiku tiers, Opus 4.5 prioritizes depth and consistency over minimum latency. It is commonly selected for refactoring large systems, coordinating multi-step tool workflows, and producing decision-ready technical outputs where reliability is more important than raw throughput.

Capabilities

  • High-complexity coding Strong performance on multi-file engineering and difficult implementation tasks
  • Long-context reasoning Handles large context windows and long sessions for sustained work
  • Agentic execution Supports multi-step workflows that include planning, tool use, and iteration
  • Instruction adherence Maintains behavior under dense or highly constrained prompts
  • Multimodal support Supports text-and-image analysis in Claude 4 generation deployments

Strengths

  • Reliable quality on hard software engineering tasks
  • Strong consistency across long-running sessions
  • Good at decomposing broad objectives into actionable subtasks
  • Produces high-quality technical documents and implementation plans
  • Useful when minimizing retries matters more than minimizing latency

Limitations and Considerations

  • Higher cost and latency than Sonnet and Haiku variants
  • May be overpowered for short or repetitive tasks
  • Throughput-focused systems often benefit from smaller models first
  • Requires good prompt and tool design to fully realize its strengths

Best Use Cases

Claude Opus 4.5 is ideal for:

  • Large-scale codebase refactoring and modernization
  • Architecture tradeoff analysis and technical design writing
  • Complex debugging with multi-step root-cause investigation
  • Agent workflows spanning many tool calls or long contexts
  • High-stakes professional analysis where quality is prioritized

Technical Details

Supported Features

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