GPT-o3-mini

​TL;DR (Quick Summary)

The o3-mini is OpenAI's latest reasoning model, combining efficiency, speed, and exceptional capabilities in STEM (science, technology, engineering, and mathematics). In Adapta One, it is available to all users, integrated intelligently with no access limits. Discover how it can transform your productivity!

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What is the OpenAI o3-mini?

The OpenAI o3-mini is the latest model in OpenAI's reasoning series, released in December 2024. It is designed to be cost-efficient and low-latency while maintaining exceptional performance on tasks requiring logical reasoning, such as science, mathematics, and programming. Unlike traditional language models, the o3-mini is a reasoning model, meaning it is optimized to "think" in a structured manner and solve complex problems.

What is a Reasoning Model?

A reasoning model is designed to perform tasks that require logical thinking, such as solving mathematical problems, writing code, or analyzing scientific data. It is capable of "thinking more" when necessary, adjusting the reasoning effort (low, medium, or high) to optimize accuracy or speed based on demand.

Key Advances Compared to Previous Models

• Performance in STEM: Significant advancements in science, mathematics, and programming.

• Developer Features: Supports function calling, structured outputs, and developer messages, making it production-ready.

• Flexibility in Reasoning: Three levels of reasoning effort (low, medium, and high) to optimize accuracy or speed.

• Web Search Integration: Capable of fetching updated answers with links to relevant sources.

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​Comparison with Competitors

Here is a clear comparison between the OpenAI o3-mini and other models available on Adapta One:

Model	Context Windows	Score	General Knowledge	Scientific and academic knowledge	Math	Coding	Speed	Cut-off date
GPT-4o	128k	78	89%	51%	80%	93%	166.4	October/2023
o3-mini	200k	89	86%	75%	Em testes	97%	61.2	October/2023
Claude 3.5 Sonnet	200k	80	89%	59%	77%	94%	96.1	June/2022
DeepSeek V3	128k	79	87%	53%	86%	91%	70.4	October/2023
DeepSeek R1	128k	89	91%	70%	97%	98%	194.5	October/2023
Gemini 1.5 Pro	2m	80	86%	59%	87%	88%	71.3	January/2024*
Llama 3.1	128k	74	87%	51%	70%	87%	88.3	October/2023*
Mistral Large 2	128k	74	85%	48%	73%	90%	44.1	October/2023*
Grok Beta	128k	72	85%	43%	73%	87%	31.8	October/2023*
Perplexity	100k	75*	85%*	50%*	75%*	85%*	50.0*	October/2023*
Sabiá-3	128k	70*	80%*	45%*	70%*	80%*	40.0*	October/2023*

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Strengths and Weaknesses of OpenAI o3-mini

Strengths

• STEM Performance: Excellent for tasks in science, mathematics, and programming.

• Reasoning Flexibility: Three levels of reasoning effort to optimize accuracy or speed.

• Developer Features: Supports function calling, structured outputs, and developer messages, making it ideal for integration into applications.

• Low Cost and Latency: Cost-efficient with reduced latency, ideal for large-scale use.

Weaknesses

• No Visual Capability: Does not support image analysis. For visual tasks, it is recommended to use GPT-4o.

• Specific Focus: While excellent in STEM, it may not be the best choice for tasks that require creativity or a humanized tone, such as copywriting.

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How Adapta One Enhances OpenAI o3-mini

In Adapta One, we work to overcome some of the limitations of OpenAI o3-mini, making it even more efficient for our users:

• Web Search: To compensate for the lack of knowledge on recent events, Adapta One allows o3-mini to access updated information directly from Google, ensuring more precise and relevant responses.

• Automatic Prompt Creation: If you're unsure how to formulate a clear instruction, Adapta One turns your simple ideas into high-quality prompts, optimizing o3-mini's results.

• Context Library: With saved contexts, you can "teach" o3-mini about specific topics, improving its accuracy in areas such as science, mathematics, and programming.

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Practical Usage Examples

Here are some examples of how OpenAI o3-mini can be used in Adapta One, with illustrative prompts and responses:

1. For Data Scientists Prompt: "Write a Python code to calculate the moving average of a time series." Response from OpenAI o3-mini:

import pandas as pd

# Example time series
data = {'values': [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}
df = pd.DataFrame(data)

# Calculating the moving average with a window of 3
df['moving_avg'] = df['values'].rolling(window=3).mean()
print(df)

1. For Mathematics Students Prompt: "Solve the quadratic equation x² - 5x + 6 = 0." Response from OpenAI o3-mini: "The equation x² - 5x + 6 = 0 can be factored as (x - 2)(x - 3) = 0. Therefore, the solutions are x = 2 and x = 3."

2. For Developers Prompt: "Create a JavaScript function that filters even numbers from an array." Response from OpenAI o3-mini:

function filterEvenNumbers(arr) {
  return arr.filter(num => num % 2 === 0);
}

// Example usage
const numbers = [1, 2, 3, 4, 5, 6];
console.log(filterEvenNumbers(numbers)); // [2, 4, 6]

1. For Science Teachers Prompt: "Explain Ohm's Law in simple terms and provide a practical example." Response from OpenAI o3-mini: "Ohm's Law states that the electric current (I) flowing through a conductor is directly proportional to the voltage (V) and inversely proportional to the resistance (R). The formula is V = I * R. For example, if a light bulb has a resistance of 10 ohms and is connected to a 20-volt battery, the current will be 2 amperes."

2. For Business Analysts Prompt: "Calculate the ROI (Return on Investment) for an initial investment of R10,000.00 which generated R15,000.00 after one year." Response from OpenAI o3-mini: "ROI is calculated as (Gain - Investment) / Investment. In your case, ROI = (15,000 - 10,000) / 10,000 = 0.5 or 50%."

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Tips to Make the Most of OpenAI o3-mini

• Adjust the Reasoning Effort: Use high-effort mode for complex tasks, like solving mathematical problems or writing code, and low-effort mode for quick responses.

• Combine with Other Models: In Adapta One, you can switch between models to take advantage of the strengths of each. For example, use o3-mini for logical reasoning and GPT-4o for image analysis.

• Explore Web Search: Take advantage of the web search integration to get up-to-date responses with links to relevant sources.

• Use Saved Contexts: Set up specific contexts for o3-mini, such as information about your field, to improve its accuracy in specialized tasks.

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Conclusion

OpenAI o3-mini is a powerful and versatile model, ideal for professionals who need logical reasoning in areas like science, mathematics, and programming. In Adapta One, it is available to all users, seamlessly integrated with no access limits. Whether you're a data scientist, student, developer, or business analyst, o3-mini can be a valuable tool to optimize your work. Try OpenAI o3-mini in Adapta One and discover how it can transform your productivity!