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Modèle O1 Pro d'OpenAI : Performances, fiabilité et coût

OpenAI Model O1 Pro: Performance, reliability and cost

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Artificial Intelligence
Nicolas
3 min read
Modèle O1 Pro d'OpenAI : Performances, fiabilité et coût

What Was OpenAI o1 Pro?

OpenAI o1 Pro was a premium reasoning model launched in December 2024 exclusively for ChatGPT Pro subscribers ($200/month). It offered enhanced performance over the standard o1 model by using significantly more compute per query—thinking longer and more deeply before responding. For complex scientific reasoning, mathematical proofs, and advanced coding challenges, o1 Pro consistently outperformed the standard o1 model.

However, the AI landscape moves fast. By early 2026, o1 Pro has been superseded by newer reasoning models in the o3 family. Understanding o1 Pro’s role in OpenAI’s evolution helps contextualize where reasoning AI stands today.

Compared to both o1 and o1 preview, o1 pro

The o1 to o3 Evolution

OpenAI’s reasoning model lineup has progressed rapidly. The original o1 (September 2024) introduced “chain of thought” reasoning—the model visibly thinks through problems step by step before answering. o1 Pro (December 2024) added more compute for harder problems. Then came o3 and o3-mini (early 2025), which brought dramatic improvements in reasoning capability while being more cost-efficient.

The o3 models introduced configurable thinking time: you can choose between low, medium, and high compute depending on task difficulty. o3-mini in particular offered near-o1-Pro performance at a fraction of the cost, making advanced reasoning accessible to a much broader audience. As of March 2026, o3 is fully integrated into GPT-5’s hybrid architecture as the “thinking” sub-model.

Where Reasoning Models Excel

Reasoning models like o3 excel in domains where step-by-step logical thinking is essential. In mathematics, they can solve competition-level problems that standard models fail at. In coding, they can architect complex systems, debug subtle logic errors, and reason about edge cases. In science, they can work through multi-step chemical synthesis planning, physics problems, and data analysis workflows.

The key distinction from standard models is depth vs. breadth. Standard GPT-5 is faster and better for general tasks, creative writing, and conversation. The reasoning variants (GPT-5.4 Thinking, the descendant of o3) are slower but significantly more reliable on tasks requiring precise logical reasoning.

Improved reliability

Current Reasoning Model Options in 2026

As of March 2026, OpenAI’s reasoning lineup has been consolidated into the GPT-5 family. GPT-5.4 Thinking replaces the standalone o3 model, offering advanced reasoning within the unified GPT-5 experience. GPT-5.4 Pro provides even deeper reasoning for the most complex tasks, echoing o1 Pro’s role but with substantially better capabilities.

For developers, the o3-mini API remains available as a cost-effective option for applications requiring reasoning capabilities without GPT-5’s full feature set. It’s particularly popular for automated code review, mathematical computation, and scientific research applications where reasoning accuracy matters more than conversational ability.

The Future of AI Reasoning

The trajectory from o1 to o3 to GPT-5.4 Thinking shows a clear trend: reasoning capabilities are improving rapidly and becoming more accessible. What required a $200/month Pro subscription in December 2024 is now available in more efficient forms to standard ChatGPT Plus subscribers. The compute costs of “thinking” are dropping, making deep reasoning viable for a wider range of applications.

As reasoning models improve, they’re opening new possibilities in areas like automated scientific research, legal analysis, financial modeling, and complex software engineering—domains where accuracy and logical rigor are non-negotiable. The era of AI that can truly “think” through problems is just beginning.

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