The world of artificial intelligence watches every move of the people who shaped the tools used by millions today. Mira Murati was one of them. As CTO of OpenAI, she oversaw the development of the most significant models of our time and became the face that bridged technological progress with product management. Her departure from OpenAI in September 2024 raised many questions, but her decision to found Thinking Machines Lab in February 2025 answered one: Murati wants to build something different.

A New Philosophy of Reasoning: From Generation to Logic

In a recent interview — her first public appearance since leaving OpenAI — Murati didn't just address how large we can train models to be, but how capable they are of genuine, logical reasoning. While current models like GPT-4 or Claude 3.5 Sonnet excel at creative writing and quick responses, Murati is seeking to push the boundary toward models that "think" before they start generating text.

This approach, often referred to as a reasoning-heavy architecture, aims to minimize hallucinations (false information) and increase the ability to solve complex mathematical and programming tasks. In the context of the current market, this means a direct showdown with models like OpenAI o1 or the latest versions from Anthropic, which are similarly trying to integrate the reasoning process into inference.

Competitor Comparison: Where Does Thinking Machines Lab Stand?

Although full results in official benchmarks (such as MMLU or HumanEval) are not yet available, the interview suggests that the Thinking Machines Lab model will not try to be "everything to everyone." Instead of the enormous multimodality offered by Google Gemini, Murati is focusing on efficiency and precision.

• Vs. OpenAI (GPT series): While OpenAI bets on massive scaling and integration across an entire ecosystem, Thinking Machines Lab appears more oriented toward specific, high-integrity tasks.
• Vs. Claude (Anthropic): Anthropic places enormous emphasis on "Constitutional AI" (safety rules). Murati hints in the interview that safety in her model is not just a layer on top of the model, but is part of its very architecture.
• Vs. Llama (Meta): Open-source models like Llama 3 dominate in availability, but Thinking Machines Lab is targeting the segment of proprietary models with high added value for businesses.

Practical Impact: What Does This Mean for Czech Companies and Users?

For the Czech market and the European scene, this development is significant for several reasons. The first is regulation. Given that the EU AI Act is now fully in effect in Europe, systems from Thinking Machines Lab will need to meet strict requirements regarding transparency and data security. If Murati can integrate these requirements directly into model development (so-called safety by design), her startup could become a preferred partner for European enterprises that fear legal uncertainty when using American models.

Availability and language: While the interview did not explicitly confirm whether the model will be immediately ready for Czech, the history of OpenAI shows that high-quality models reach Czech very quickly. For Czech developers, API availability would be key. If Thinking Machines Lab offers a model with high logical reasoning capability, it could be an ideal tool for automating processes in Czech tech companies that require greater precision than a standard chatbot.

Pricing policy: Preliminary estimates suggest the model will be offered in two formats. A standard subscription for individuals (likely in the range of $20–30 USD per month, roughly 470–710 CZK) and an advanced API for businesses with pay-per-token pricing. For Czech small and medium-sized enterprises, this could be a more affordable alternative to expensive enterprise solutions from major players, provided inference efficiency is maintained.

Conclusion: A New Era of Specialization

The emergence of Thinking Machines Lab signals a shift in the industry. The era when winning meant having "the world's largest model" is coming to an end. An era of quality, reasoning, and safety is arriving. Mira Murati thus positions herself as a leader who wants to show that artificial intelligence doesn't have to be just a noisy text generator, but a genuine partner for solving problems.