OpenAI o3 mini is now on Inner AI – first global platform to integrate it!

OpenAI has launched o3 mini, an AI model specialized in logical reasoning, mathematics, and complex problem solving. The model shows significant improvements in speed and efficiency compared to o1 mini, its predecessor.

With low latency and high precision, o3 mini excels in various applications, from data analysis to technical and strategic content development. This evolution marks an important advance in the democratization of artificial intelligence, benefiting organizations that need advanced solutions.

Inner AI achieved the milestone of being the first multimodel platform to make OpenAI o3-mini available globally, integrating the model in less than 30 minutes after its official launch.

Next, we'll analyze the differentials of o3-mini, its performance compared to other models, and best practices for its use in Inner AI.

Why does OpenAI o3 mini stand out?

The o3-mini redefines the balance between power, speed, and cost, bringing more accessible and efficient Artificial Intelligence for complex tasks. Among its differentials:

Three levels of reasoning (low, medium, and high) to balance precision and speed.
High performance in STEM (science, technology, engineering, and mathematics), surpassing previous models.
Lower latency and greater computational efficiency, being 24% faster than o1-mini, with an average response time of 7.7 seconds.

Three levels of reasoning for more flexibility:

The o3-mini allows you to adjust its reasoning level according to task complexity, offering a balance between precision and speed:

Low reasoning: Prioritizes quick and direct responses, ideal for simple questions, quick searches, or basic support.

Medium reasoning: Balances speed and depth of analysis, being useful for solving moderately complex technical problems, such as scientific explanations or code corrections.

High reasoning: Focuses on maximum precision, applying deeper processing. Indicated for advanced calculations, algorithm optimization, solving mathematical proofs, and detailed analyses.

This flexibility allows o3-mini to be used by different user profiles, from those seeking agile responses to those who need sophisticated reasoning for complex problems.

OpenAI o3 mini Performance in Benchmarks

To evaluate OpenAI o3 mini's capability, it was subjected to a series of rigorous tests in various areas, including mathematics, programming, and general knowledge.

Mathematics and Logical Reasoning

AIME 2024: In the competitive mathematics challenge, o3-mini (high) achieved 83.6% accuracy, surpassing previous models.
FrontierMath: The model showed significant improvement in solving advanced mathematical problems.

Science and General Knowledge

GPQA Diamond: In doctoral-level science questions, o3 mini achieved 77% accuracy with high reasoning effort.
Superior performance to o1 with 56% preference in human tests, with 39% fewer errors in complex questions.

Programming and Software Engineering

Codeforces: o3 mini obtained higher scores in competitive programming challenges.
SWE-bench Verified: The model achieved 48.9% accuracy, becoming OpenAI's best model for software engineering.

Lower latency and greater computational efficiency

The new architecture of o3-mini presents significant advances in performance. With an average response time of 7.7 seconds, the model is 24% faster than its predecessor, o1-mini. Process optimization reduced computational resource consumption while maintaining high response accuracy even with lower latency.

Security and privacy with Inner AI

Inner AI offers robust infrastructure for using o3-mini, prioritizing user privacy and security through three fundamental pillars:

Local storage: Our infrastructure is distributed across data centers in Brazil, United States, and Europe, ensuring compliance with international data protection laws and keeping client information in trusted jurisdictions.
Protection against Data Reuse Each interaction on the platform is isolated and encrypted, preventing the reuse of client information in model training. This process ensures total confidentiality of operations.
Advanced Security Protocols and SOC2 Compliance All standards and processes adopted by Inner AI — from end-to-end encryption to constant threat monitoring — can be consulted on our portal trust.innerai.com. There, you'll find details about regular audits and certifications that ensure data inviolability, including compliance with the SOC2 (Service Organization Control 2) standard. This certification, validated by independent audits, attests that we follow a rigorous set of controls to protect client information privacy and security.

How to access OpenAI o3-mini on Inner AI

1. Create or access your Inner AI account If you're not yet a user, register here on Inner AI's official page. If you already have an account, simply log in with your credentials.

2. Access the Inner AI panel After entering the platform, on the home page, in the upper left corner, you'll find the icon with available model options. Click on "AI Models", then scroll down to "Deep Reasoning" and select o3 mini.

3. Define the context or prompt To start using the model, enter in the text field the prompt or description of the problem you want to solve. This is where you provide the necessary information for the AI to understand what needs to be generated or answered.

(gif of how to use in Inner)

Conclusion

Inner AI achieved a significant milestone by integrating OpenAI o3-mini into its platform just 26 minutes after its official launch, being the first multimodel platform to make it available globally.

The o3-mini represents a notable advance in natural language processing, standing out especially in logical reasoning, mathematical analysis, and complex problem solving.

This launch reinforces our position as a leading platform in AI solutions, offering cutting-edge technology combined with specialized support to optimize our users' experience.