o3 and o4-mini: the most advanced artificial intelligence models ever revealed by OpenAI

Publié le 19 April 2025 à 10h01
modifié le 19 April 2025 à 10h01

The recent innovations from OpenAI, embodied by o3 and o4-mini, mark a *significant revolution* in the field of artificial intelligence. These models, designed for complex reasoning, surpass user expectations by offering unparalleled capabilities. Their ability to *reason before responding* paves the way for innovative practical applications.

OpenAI presents these models as *tailored solutions to contemporary challenges*, rendering many previous systems obsolete. The intersection of technology and artificial intelligence reaches unexplored heights, propelling aspirations towards actionable intelligence.

o3 and o4-mini: Revolutionary Artificial Intelligence Models

OpenAI recently unveiled two revolutionary models: o3 and o4-mini. These models illustrate a spectacular advancement in the field of reasoning in artificial intelligence. Designed to address concrete use cases, they greatly exceed previous models in both complexity and analytical capacity.

State-of-the-art Performance and Analytical Capabilities

o3 stands out with its exemplary performance on STEM (science, technology, engineering, mathematics) benchmarks. This model sets SOTA scores in multiple categories, notably achieving a score of 82.9% on Codeforces in multimodality.

In terms of visual reasoning, o3 surpasses the capabilities of its predecessors, reaching an impressive 86.8% on MathVista, a test designed to evaluate the understanding of images and graphs. The o4-mini model, on the other hand, shows comparative performance, with significantly better cost and execution speed.

Model Comparison

The results of o4-mini on specific tests, such as AIME 2024, are remarkable. Its score of 93.4% in this mathematics competition even surpasses that of o3. While it is less effective in some complex tasks, such as multi-turn instruction following, its cost-effectiveness remains highly attractive.

Overall, o3 and o4-mini are capable of handling diverse use cases, from coding problems to complex visual analyses. OpenAI designed these models to provide an appropriate and reasoned response in an operational environment.

The Cost of Models and Financial Accessibility

OpenAI has priced the o3 and o4-mini models to make them accessible while reflecting their value. With a cost of 10 dollars per million tokens for the input of o3 and only 1.10 dollars for o4-mini, this pricing allows easier access to advanced artificial intelligence resources.

In terms of output, o3 is priced at 40 dollars per million tokens, while o4-mini is listed at 4.40 dollars. These prices demonstrate a willingness to balance technological innovation and economic opportunities.

Codex CLI: A New Autonomous Code Agent

In parallel with the o3 and o4-mini models, OpenAI has also introduced Codex CLI, an artificial intelligence agent dedicated to programming. This open source program not only allows reading and modifying code, but also executing it on different machines.

Codex CLI uses o4-mini by default via the API, granting it great flexibility of use. Users particularly appreciate its ability to interact with essential data without needing to transmit the entire code to the model, thereby increasing the security and efficiency of operations.

Future Perspectives: o3-pro

OpenAI plans to launch o3-pro soon, an even more powerful model. This new version is expected to push the limits of reasoning even further and continue to accelerate the evolution of AGI. With o3 and o4-mini, OpenAI marks a significant advancement towards high-impact artificial intelligence solutions.

In a vigilant framework, the company has implemented robust security measures, filtering up to 99% of sensitive conversations to anticipate risks. This proactive approach underscores OpenAI’s commitment to building reliable and safe models.

These innovations resonate with the rapid evolution of artificial intelligence, illustrating how companies like OpenAI are shaping the technological landscape of tomorrow. Their capabilities promise to profoundly transform analytical processes, thereby creating new opportunities in various fields, including scientific and technological.

Frequently Asked Questions about o3 and o4-mini: OpenAI’s Artificial Intelligence Models

What are the o3 and o4-mini models?
The o3 and o4-mini models are artificial intelligence systems developed by OpenAI, designed to perform advanced reasoning and solve complex tasks through multimodal reasoning capabilities.

What are the main advantages of using the o3 model compared to o4-mini?
The o3 model offers state-of-the-art performance on various benchmarks, particularly in visual reasoning and multimodal analysis, while o4-mini, although efficient and less expensive, shows slightly lower performance in some areas.

How did OpenAI design the o3 and o4-mini models to meet concrete use cases?
OpenAI specifically trained the o3 and o4-mini models to effectively use web research tools and Python analysis, enabling them to handle a variety of practical and complex use cases.

What is the cost difference between o3 and o4-mini?
The o3 model costs 10 dollars for 1 million tokens for input and 40 dollars for output, while the o4-mini model is more affordable at a cost of 1.10 dollars for input and 4.40 dollars for output.

What is Codex CLI for and how does it work with the o3 and o4-mini models?
Codex CLI is an open-source artificial intelligence agent that allows reading, modifying, and executing code. It primarily works with the o4-mini model by default but can also use other models via the OpenAI API.

On which benchmarks does o3 excel compared to o4-mini?
The o3 model sets leading scores on benchmarks such as Codeforces and SWE-bench, surpassing o4-mini in areas like visual reasoning.

How does OpenAI ensure security when using the o3 and o4-mini models?
OpenAI has implemented robust security mechanisms, including a monitoring system to filter 99% of sensitive conversations, in order to minimize potential risks associated with the use of these models.

Where can we access the source code for Codex CLI?
The source code for Codex CLI is available on GitHub, allowing users to install and use it on their machines, including macOS and Linux.

What improvements can we expect from the upcoming o3-pro version?
The o3-pro version, which will be launched soon, is expected to offer even more advanced reasoning capabilities, pushing the limits of performance and applications of artificial intelligence.

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