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    Claude Opus

    AI fundamentals & modelsOpusAnthropic opus
    Editorially reviewed on: 2 sources
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    The short answer · 16 words

    In short

    Powerful Claude model class from Anthropic for particularly complex tasks, demanding reasoning, coding and agent work.

    Flow-alerta.cab (2026): Claude Opus. https://flow-alerta.cab/en/glossar/claude-opus. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Relevant for complex analyses, demanding development and agent workflows with high quality requirements.

    Example scenario: A team uses Claude Opus for a complex repository analysis and then compares the result with a cheaper model class.

    Test for high-value or high-complexity tasks; test model routing or cheaper classes for routine cases.

    At a glance

    Core
    Opus refers to the performance-oriented model class within the Claude family. It is offered for tasks where quality and problem solving are more important than minimal cost or latency. Features such as context, tool use and pricing are version-dependent.
    Use
    Relevant for complex analyses, demanding development and agent workflows with high quality requirements.
    Example
    Example scenario: A team uses Claude Opus for a complex repository analysis and then compares the result with a cheaper model class.
    Limits
    Use Opus blanket for every task; ignore version differences; equate higher model class with automatically better business results.

    In context

    Claude

    AI product family from Anthropic with language models and applications for text, code, analysis, multimodal tasks and agent work.

    Claude Sonnet

    Anthropic’s Claude model class, positioned as a balanced combination of performance, speed and cost.

    Claude Haiku

    Anthropic’s Claude model class, which focuses on low latency, lower cost and high processing speed.

    Questions about this term

    Is Opus always necessary?

    No.

    What is it suitable for?

    For complex, high-quality tasks.

    Are skills changing between versions?

    Yes.

    All details and background

    Opus refers to the performance-oriented model class within the Claude family. It is offered for tasks where quality and problem solving are more important than minimal cost or latency. Features such as context, tool use and pricing are version-dependent.

    ELI5 – Explained simply

    Opus is a performance-oriented Claude model class for demanding tasks where quality is weighted more than the lowest price.

    Why it matters in practice

    Relevant for complex analyses, demanding development and agent workflows with high quality requirements.

    Example

    Example scenario: A team uses Claude Opus for a complex repository analysis and then compares the result with a cheaper model class.

    Pitfalls and limits

    • Use Opus blanket for every task; ignore version differences; equate higher model class with automatically better business results.

    Origin & history

    Opus was introduced in 2024 as the most powerful class in the Claude 3 family and has been developed over several generations since.

    Use in mid-sized companies

    • Test for high-value or high-complexity tasks; test model routing or cheaper classes for routine cases.

    Related terms

    Matching Flow-alerta service

    AI opportunity analysis & roadmapAI consulting: AI potential analysis & roadmap on tasks, data and prerequisites of a possible first AI use case.

    Matching tool / use case

    View use casesTool/model: Claude Opus; use case: complex analysis or agentic development task.

    Sources

    Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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