The future is here!!
On March 25, 2025, Google went beyond the box and dropped the most intelligent AI/LLM model. The Gemini 2.5 is here, and it has taken a massive leap forward. With its thinking mode and enhanced multimodal capabilities, it is the most advanced multimodal AI to date. Gemini 2.5 is state-of-the-art on a wide benchmarks and debuts at #1 at LMArena by a significant margin. It has thinking capabilities built-in and with improved performance in complex tasks like coding, mathematics, or understanding images.
In this blog, we will explore what makes Gemini 2.5 better than other LLMs and AI models, how its multimodal thinking capabilities work, and why it stands out in the competitive AI market.
Multi-Modal AI
What do you mean by multimodal AI?
Multimodal AI refers to an Artificial Intelligence system that can understand and process multiple types of data or “modalities” simultaneously, such as text, images, audio, and video, to achieve more comprehensive and accurate results. It’s about creating AI models that can “see”, “hear”, and “read” through the different types of data and integrate them to make more accurate results.
How does it work?
Multimodal AI models are trained to identify patterns and relationships between different data types, allowing them to perform tasks. This would have been impossible for a single modality AI to handle different data types.
Common modalities include:
- Text: Natural language processing (NLP).
- Images: Computer vision.
- Audio: Speech recognition and sound analysis.
- Video: Video understanding and analysis.
- Other: Numerical data, sensor data, etc
Why Multimodal Thinking?
Traditional AI models have largely been limited to handling only a single type of input at a time. Also, traditional AI didn’t provide satisfactory results. This led researchers to find a much better approach for understanding and analysing different data types in one go.
How is Gemini 2.5 transforming AI Thinking?
The “Thinking” Power of Gemini 2.5
The most important feature for which Gemini 2.5 is famous for is its Thinking capabilities. This thinking mode enables the AI to break down problems into intermediate steps before producing the final output/result. Gemini 2.5 takes a reasoned approach to analysing any problem, similar to a human, and provides a well-structured answer.
Unlike Traditional AI models, which generate instant responses, Gemini 2.5 evaluates the context, index, and relationships between the different data points. This affects the result to be more accurate, more context relevant and subtle.
Enhanced Multi-Model Capabilities
The primary reason that Gemini 2.5 became the state-of-the-art model at the time was its multimodal capabilities. Gemini 2.5 isn’t good at just one thing -it’s exceptional at handling multiple data types at the same time. This allows for:
- Text-to-Image and Image-to-Text Understanding: It can describe an image or can generate a perfect image for the given text.
- Video Analysis: It can analyse and give great insights from a video, making it a powerful tool for security and media.
- Audio and Speech Processing: Converts speech to text and text to speech and can generate more natural human-like interactions.
- Cross-Modality Reasoning: It can understand different types of data/input simultaneously.
Real-World Application of Gemini 2.5
- Revolutionizing Search and Information Retrieval
- Gemini 2.5’s ability to analyse the text, images, and audio offers a more innovative and precise answer/output for the question/input. Instead.
- Enhance Content Creation
- Gemini 2.5’s ability to analyze a topic more thoroughly and precisely enhances research on that topic, resulting in better outcomes.
- Gemini 2.5 is capable of reasoning through its thoughts before responding, this helps to generate highly personalized multimedia content.
- AI-Assistant for Coding and Debugging
- With its thinking capability, Gemini 2.5 can easily understand code documents, assist you in generating optimised code and help you in debugging when you encounter errors.
To learn how to use Gemini AI’s Data Science Agent, refer to this excellent blog. To dive deep into Gemini AI usage, read our newsletter’s exclusive Gemini AI edition.
How Does Gemini 2.5 Compare to Other AI Models?
- More Context Awarness
- Compared to other models, the Gemini 2.5 can handle more extended conversations without losing the context, making it more interactive, natural and human-like.
- Greater Efficiency in Complex Tasks
- With its thinking mode, Gemini 2.5 enables it to deliver well-structured responses in fewer interactions, whereas other models might take more inputs and multiple prompts to complete the task.
- Advanced Multimodal Processing
- Many AI models or LLMs claim to be handle multiple data/tasks, but Gemini 2.5 goes beyond the basics of image captioning- it actively interprets and integrates various data formats into cohesive outputs.
The below benchmark scores indicate where Gemini 2.5 outperforms other models.
From Gemini 2.0 to Gemini 2.5
While Gemini 2.0 was a remarkable LLM/AI tool, it lacked in a few of the multi-modal tasks and wasn’t satisfactory. Users appreciated its potential, but many found that Gemini 2.0 felt more like an unpolished product- especially when compared to other AI/LLMs like GPT4 and Claude. But then Gemini 2.5 came and changed the game. Here’s how it has evolved, improved and corrected course:
| Key Areas | Gemini 2.0 | Gemini 2.5 |
|---|---|---|
| Visual Reasoning | Basic | Advanced Multimodal Thinking |
| Reasoning Depth | Shallow | Strategic Chain-of-Thought |
| Math & Code | Inconsistent | State-of-the-Art Accuracy |
| Long Context | Short | 128K+ Tokens |
| Multilingual | English-biased | Strong Global Performance |
Conclusion
Gemini 2.5 is more than just another AI model; it represents a paradigm shift in how AI interacts with the world. This model marks a significant advancement towards the future of AI technology. With its innovative thinking capabilities and multimodal reasoning, Gemini 2.5 brings us closer than ever to AI that understands and interprets data in a way similar to humans.
As AI continues to evolve, models like Gemini 2.5 will help define the future, shaping industries, enhancing creativity, and transforming the way we work and live. The future of AI is not solely about automation; it is also about augmentation, and Gemini 2.5 exemplifies this shift.