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Is OpenAI New model "o3-mini" Actually Better?
Learn how ChatGPT's Inside Works in Just 7 Minutes!
Welcome to Tech Momentum!
Hey there! We have some good updates from OpenAI. They launched their new models, and we did a comparison between them. You will also learn how AI like ChatGPT and DeepSeek works in 7 minutes.
Let’s break it all down!
Updates and Insights for Today
OpenAI's newest model, "o3-mini."
Deepseek vs ChatGPT
The latest in AI tech
AI Tutorials: Run an AI model offline on your computer.
AI tools to checkout
AI finding/resources
AI News
OpenAI's newest model, "o3-mini.

PhD-level Science Questions (GPQA Diamond)
OpenAI’s new o3‑mini is indeed designed to be “better” in several key ways compared to its earlier reasoning models. Here are some of the main points to consider:
Speed and Cost
Quick Responses: o3‑mini answers questions faster than older models, which means less waiting time.
Lower Costs: It uses less computer power, making it cheaper to run.
Reasoning and Accuracy
Smart Thinking: o3‑mini is really good at solving hard problems in math, science, and coding by “thinking” through them step-by-step.
Fewer Mistakes: It makes fewer big errors compared to earlier versions.
Accessibility and Tools
For Everyone: Advanced features of o3‑mini are now available to even free users of ChatGPT, though with some limits.
Developer Friendly: It supports cool features like structured outputs and function calls, which makes it easy to build apps with.
Competitive Edge
Stands Out: While some free models let you change and tweak the code, o3‑mini wins on speed and smart answers, which is important for serious work.
Safe to Use: Built-in safety measures help it follow guidelines and reduce risky or inappropriate answers.
Limitations
Not Open Source: Unlike some other models, o3‑mini is a closed system. You can’t download or modify it freely, which might be a downside for some.
In Short
OpenAI’s o3‑mini is a faster, smarter, and cheaper model that is great at solving tough problems. It’s easy to use for everyone, even if you’re on the free plan, and comes with handy tools for developers. However, its closed nature means you can’t customize it like some open-source alternatives.
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DeepSeek vs ChatGPT: A Quick Comparison for Your AI Needs

deepseek vs chatGPT
Below is a short, simple comparison between DeepSeek and ChatGPT, along with a table to quickly highlight their main differences:
1) ChatGPT (by OpenAI):
↳ Designed for a wide range of conversational and creative tasks.
↳ Provides engaging, natural, and detailed responses.
↳ Offers a polished interface with additional features (chat history, voice mode, etc.).
↳ cCan be more expensive in advanced versions.
2) DeepSeek (Chinese open-source model):
↳ Focused on technical tasks like coding, math, and logic puzzles.
↳ Emphasizes efficiency and lower training costs.
↳ Open source and more cost‑effective for specialized or budget‑constrained projects.
↳ May have stricter content guardrails and a simpler interface.
Comparison Table:
Feature | ChatGPT | DeepSeek |
---|---|---|
Purpose | General conversation, creative writing, and broad use cases | Technical tasks (coding, math, logic) and specialized projects |
User Interface | Polished, feature-rich (chat history, voice mode, etc.) | Basic, straightforward, fewer extra features |
Response Style | Detailed, natural, conversational | Direct, efficient, structured |
Cost | Premium plans can be costly | Lower cost; open source and cost‑efficient |
Customization | Limited to built-in settings; some custom options | Highly customizable for technical needs |
Content Guardrails | More flexible in discussion | May refuse certain topics due to stricter rules |
Conclusion:
Choose ChatGPT if you need a versatile, engaging assistant for creative and everyday tasks.
Choose DeepSeek if you require cost-effective, precise answers for technical or specialized projects.
This concise format with the table should help readers quickly judge and understand the main differences between the two AI models.
📌 Explore More: chatGPT vs DeepSeek
AI Tutorials
Learn how LLMs like ChatGPT's Inside Works in Just 7 Minutes!

Large Language Models explained briefly
Large language models (LLMs) are revolutionizing the AI landscape, but how do they work? In this video, we dive into the inner workings of these powerful models.
What You Will Learn from This Video
This video explains how AI chatbots work in simple, easy-to-understand language. Here’s what you will learn:
Next-Word Prediction:
Discover how AI guesses the next word in a sentence by using probabilities. This helps the AI create sentences that sound natural.Training the Model:
Learn about the huge amount of text used to teach the AI. You'll see how backpropagation helps the AI fix mistakes and improve over time.Transformers and Attention:
Find out how transformers work by looking at all the words at once. This “attention” helps the AI understand the meaning of words in context.Reinforcement Learning with Human Feedback:
Understand how people help the AI learn to give better answers by pointing out problems and suggesting improvements.Why It Matters:
See why these ideas are important. They make the AI smart and useful for everyday conversations, just like the chatbots you use.
This video breaks down complex ideas into simple steps, making it easier for you to see how modern AI works and why it is so amazing.
Here is the full Video Tutorial 👉 Click Here
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AI Tools to check out
AI finding/resources
DeepSeek is the most powerful AI tool right now.
But 99% of people are using it wrong.
Use these 10 prompts to unlock its full potential:
— Jafar Najafov (@JafarNajafov)
5:31 AM • Jan 31, 2025
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Tom