Reasoning Models: How AI Learned to Think Before It Speaks

Have you ever noticed that, sometimes, a quick answer is a wrong answer? People know this from experience: complex problems need thinking time. Until recently, AI did not work that way – it answered immediately, without "pondering". In 2026, that limitation is gone. At Altanet Craiova we believe reasoning models represent one of the most important qualitative leaps in the history of artificial intelligence.

What Does "Reasoning" Mean for an AI Model?

Think of the difference between two types of students:

• The student who answers immediately: reads the problem and writes the first answer that comes to mind. Sometimes they are right, sometimes they are wrong without realising it.
• The student who thinks step by step: reads the problem, breaks it into smaller parts, solves each part in turn and checks the result at the end.

Reasoning models work like the second student. Before giving you an answer, they go through a series of intermediate steps – sometimes hundreds of steps – in which they check their own logic and correct any mistakes. Only then do they present the conclusion.

Which Models "Think" in 2026?

Three major models have made reasoning a central focus this year:

• GPT-5 with extended reasoning (OpenAI): solves complex problems with 50-80% fewer operations than the previous version. It demonstrated a 79-fold efficiency gain in laboratory protocols for molecular cloning – compressing weeks of work into hours.
• DeepSeek-R1 (China): the first open source model (that is, free and downloadable) to demonstrate a level of reasoning comparable to the top commercial models. Available on HuggingFace and on deepseek.com.
• Claude Opus 4.6 (Anthropic): introduces 4 effort levels the user can choose from: low, medium, high and maximum. For a simple question you use fewer resources and get the answer faster. For a complex problem you activate the maximum level and the model thinks more deeply.

How Much Does It Matter in Practice?

The chart below shows the improvements reasoning brings across different task categories, compared with classic models that answer directly:

The conclusion is clear: reasoning helps most with complex tasks – mathematics, code, multi-step logic. For an ordinary conversation, the difference is smaller.

A Concrete Example: 79 Times Faster in the Lab

GPT-5 with extended reasoning was tested on research protocols for molecular cloning – a laboratory process involving dozens of interdependent steps, where a mistake in one step affects all the following ones. The result: whole weeks of lab work compressed into a few hours.

It is not an isolated case. Reasoning has opened the door to applications where AI could not be used before: complex medical diagnosis, legal analysis of long contracts, construction project planning.

But There Is a Limit

Reasoning has a cost: time and computing resources. A model that "thinks" more answers more slowly and consumes more energy. That is why Claude Opus 4.6 introduced the 4 effort levels – there is no point in using maximum reasoning to ask the AI what the weather is like outside.

Gabe Goodhart of IBM sums up the situation well: "We will reach a point where models become a commodity. Competition will be on systems, not on individual models." In other words, it is not only how well a model thinks that matters, but how well it is integrated into real workflows.

What's Next?

In the second half of 2026, reasoning becomes standard – almost all major models will include it. The next step, expected for 2027, is multimodal reasoning: the model will think by combining text, images and structured data at the same time.

If you use AI in your company for complex tasks – data analysis, report generation, decision-making support – reasoning models can make a real difference. The Altanet Craiova team can help you identify where and how to apply them. Go to our contact page and let's talk.

This article is part of the Altanet series on AI trends in 2026. Next article: Multimodal AI in 2026: When the Robot Sees, Hears and Understands the World Like You Do. See also the complete guide to the series.