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Glossary

What is a reasoning model?

A reasoning model is an AI model that works through a problem step by step before answering, trading speed and cost for better results on hard tasks.

What it means

Some models spend extra computation "thinking" before they answer: breaking a problem down, checking intermediate steps and revising. Many providers now build this into their main models as a setting, often called reasoning effort or thinking, rather than offering separate reasoning models.

More thinking usually means better answers on complex tasks, but slower responses and higher cost.

Why it matters for a business

Reasoning helps with analysis, planning, complex document review and multi-step agent work. For simple tasks such as tagging or short replies, it adds cost without much benefit. Good systems use reasoning only where it pays.

A business example

Things to watch

  • Measure whether reasoning improves your specific task.

  • Tune effort per request where the provider allows it.

  • Expect longer response times.

  • Watch costs, since reasoning adds tokens.

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