Glossary

Claude Opus

What is Claude Opus?

Claude Opus is the most capable of Anthropic's three Claude model families: Haiku, Sonnet and Opus. It is designed for demanding tasks that require multi-step reasoning, such as complex analyses, large programming projects or agents that work independently over longer periods. In return, it is slower and more expensive than the smaller families. The current version is Claude Opus 5.5 (as of October 2026).

How KI.ordo helps

In KI.ordo, Opus can be selected specifically for demanding agents or AI steps, while simpler steps can run on less expensive models.

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Claude
Anthropic
model choice

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Related terms

Claude

Claude is a family of large language models from the US AI company Anthropic. The models understand and write text in many languages, analyse documents, write code and can use tools, for example for research or automation. Best known are the model families Haiku, Sonnet and Opus, which differ in speed, cost and capability. Anthropic places particular emphasis on safety and reliable model behaviour.

Anthropic
language model
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Claude Sonnet

Claude Sonnet is the middle of Anthropic's three Claude model families, combining strong capability with short response times and moderate cost. It suits a wide range of everyday business tasks: drafting texts, analysing documents, answering knowledge questions or writing code. Anthropic releases new versions regularly; the current one is Claude Sonnet 5.5 (as of October 2026).

Claude
Anthropic
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Claude Haiku

Claude Haiku is the fastest and least expensive of Anthropic's three Claude model families, alongside Sonnet and Opus. It suits high-volume tasks that need short response times, such as sorting emails, extracting data from texts or routing requests to the right place. The current generation is Claude Haiku 5.5 (as of October 2026).

Claude
Anthropic
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Intelligent Agents

An intelligent agent is a system that perceives its environment, processes information and chooses actions on its own in order to reach a goal. Today the term usually refers to software built on large language models that follows instructions, draws on knowledge and calls tools such as a search function or an API. How much an agent may do independently should be decided deliberately. Example: an agent answers customer questions using the product documentation.

Agents
Autonomy
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