What Is Google Gemini 2.5 Pro: Google DeepMind's Best AI Model With Native Multimodal Features
I have tried Gemini 2.5 Pro and this is what I have found..
Even if it was released on June 17, 2025. I actually haven't tried Google Gemini 2.5 Pro heavily. I always relied on Gemini 2.5 Lite because it was faster and I had unlimited usages just like the ChatGPT free plan.
So I had in mind to try it. Before doing some heavy usage of it, I made a research on what it actually was able to do and remained surprised, that's why in this article I will discuss about Google DeepMind's Gemini 2.5 Pro and its features.
What Is Gemini 2.5 Pro?
Gemini 2.5 Pro is currently Google DeepMind's best advanced model yet that excels in coding and complex prompts. The model is designed to do different complex tasks, and it comes with different features.
Gemini 2.5 Pro can perform different tasks like:
- Enhanced reasoning: Allows the model to reason more in tasks like math and science.
- Advanced coding: It generates code for web development tasks.
- Natively multimodal: The model can understand different type of inputs like text, audio, images and video.
- Long context: You can use vasts datasets as input with the model's 1-million context window.
What Are The Features Of Gemini 2.5 Pro?
I know when discussing about a model, the first thing that comes in mind is what can the model actual do? So I have explored theannouncement page by Google DeepMind about the Pro model and I was genuinely surprised by what the model can actual do. Below I have collected all the features so you can quickly explore them:
- Native audio
The first feature introduced by Gemini 2.5 Pro is the possibility to have conversations in more expressive ways with the model's native audio outputs that capture the little details of how we speak. This feature allows you to switch between 24 languages by keeping the same voice.
Check the video below the example given by Google:
These are some of the things that the "Native audio" feature allows to do alongside the ones mentioned above:
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Natural conversation: The model generates an high quality, more expressive, fluid and low latency audio ouput.
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Style control: You can use textual prompts to adapt the style of the conversation like adopt different accents or use different type of expressions while conversating.
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Tool integration: Gemini 2.5 Pro can use tools and call functions during the dialogue allowing it to incorporate real-time information or use developers built-in tools.
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Conversation context awareness: The model has been trained to ignore background speech, ambient conversations and other irrelevant noise or voices.
- Images to Code
Gemini 2.5 Pro introduced the possibility to transform images like nature scens into code-based representations of itself. It's not easy to understand what I mean by typing it, so I suggest you to check out this video provided by Google DeepMind for better understanding.
More examples provided by Google:
- Interactive animation: Gemini 2.5 Pro creates an interactive animation of "cosmic fish" with a simple prompt.
- Create your own dinosaur game: Gemini 2.5 Pro creates an endless runner game from a single line prompt.
- Plot interactive economic data: Gemini 2.5 Pro uses its reasoning capabilities to create an interactive bubble chart to visualize economic and help indicators over time.
What Are The Benchmarks For Gemini 2.5 Pro?
I have checked the published benchmarks for Gemini 2.5 Pro and this is how it places against other competitors. Here's the relevant benchmarks you need to see:
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Input Price $/1M tokens (no caching) - Gemini costs $1.25 till you reach 200k tokens, after passing the 200k tokens you will be charged $2.5 per million tokens.
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Output Price $/1M tokens: Gemini costs $10 till you reach 200k tokens, after passing the 200k tokens you will be charged $15 per million tokens.
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Reasoning & knowledge: Gemini 2.5 Pro scored 21.6% compared to competitors like DeepSeek R1 and Claude Opus 4 which scored 14% and 10%.
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Science: Gemini 2.5 Pro scored 86.4% compared to competitors like OpenAI O3 which scored 83.3%.
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Code generation: Gemini 2.5 Pro scored 69% compared to competitors like DeepSeek which scored 70.5%.
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Mathematics Gemini 2.5 Pro scored 88% compared to competitors like OpenAI O-4 mini which scored 92.7%
For more benchmarks, check the screenshot below.
Now, let me show you a comparison between relevant benchmarks between GPT-5 and Gemini 2.5 Pro.
| Benchmark / Metric | GPT-5 | Gemini 2.5 Pro |
|---|---|---|
| Math / Science / Reasoning (no tools) | ~94.6% on AIME, ~85.7% GPQA, 24.8%. | 88% AIME 2025, 86.4% GPQA, ~21.6% |
| Coding (SWE-bench, Aider) | 74.9% on verified SWE-bench, 88% on Aider | 67.2% (SWE-bench), 82.2% on Aider |
| Multimodal / Inputs (images, video, long context) | 84.2% (MMMU) | 82.0% (MMMU) |
How To Use Gemini 2.5 Pro?
To get started to use Gemini 2.5 Pro is really simple. First, go on the Gemini page. To use Gemini 2.5 Pro you have to sign up to the platform with your Google account. Once signed up, you will be able to switch between Google Gemini 2.5 Flash and Google Gemini 2.5 Pro. I would like to mention also that you can use Gemini 2.5 Pro with daily limits.
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