Glossary

Claude

What is 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.

How KI.ordo helps

KI.ordo uses Claude models via the Anthropic API; the appropriate model can be set for each agent.

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Topics

Anthropic
language model
AI assistant

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Related terms

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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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 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).

Claude
Anthropic
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Constitutional AI

Constitutional AI is a training method for language models published by Anthropic in 2022; it has nothing to do with constitutional law. It is based on a written set of principles, the “constitution”: the model critiques and revises its own answers against these principles, then an AI compares pairs of answers, and this feedback serves as the reward signal for reinforcement learning (RLAIF). This reduces the need for human labelling of harmful content; in January 2026 Anthropic published a revised constitution for Claude.

Training
AI safety
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