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Google has recently launched its latest and most powerful large language model “Gemini AI” which is capable of understanding text, images, video, audio, and code.
This latest debut by Google has represented a new step towards Artificial Intelligence technology and how it can be used to improve the daily lives of humans.
Gemini AI is introduced in three sizes: Nano, Pro, and Ultra with unique capabilities to perform and solve highly complex tasks. In addition, Google has also claimed its Gemini Ultra LLM is capable of outperforming OpenAI’s ChatGPT as the LLM was able to deliver on 30 out of 32 benchmark tests.
In this article, we will talk about Gemini vs ChatGPT: How Does Google’s Latest AI compare? Along with understanding its pricing differences Data Sources and Language Models.
Gemini AI is a powerful Artificial Intelligence model launched by tech giant Google. This AI model is capable of not only understanding texts but also videos, audio, and images.
Gemini is a multimodal model and is capable of understanding and solving various complex tasks in Maths, Physics, and various other areas as well. It can even understand and generate high-quality code in numerous programming languages.
Google released its latest large language model “Gemini” on 6th December which is made available in over 170 countries. This multimodal model is capable of not only understanding texts but also audio, video, and images which has truly stood Gemini in comparison to other AI models.
Google’s Gemini is available in three sizes: Gemini Nano, Pro, and Ultra. Apparently, Google has claimed that its yet-to-release Gemini Ultra will be outperformed by OpenAI’s ChatGPT on 30 out of 32 benchmark tests.
Along with 6 to 6 video understanding benchmarks, 10 of 12 popular texts and reasoning benchmarks, 5 of 5 speech recognition and speech translation, and 9 of 9 image understanding benchmarks. Various early reports also claim that Gemini Ultra will be much more advanced than ChatGPT-4 in various categories.
Based on this information, we can say Gemini is better than ChatGPT in various modalities. Although, when it comes to text the outcomes are quite equal between Gemini and ChatGPT. However, we need to wait till 2024 to get closure on these claims as the Ultra version of Gemini isn’t yet released by Google.
Google’s Gemini is currently available for free and can be accessed by anyone by creating a Google account and accessing the AI model through Google Bard or Pixel 8.
This AI model is more of a value-add for Google and soon Gemini will be added to a larger number of products such as the Search engine, Chrome, Ads, and much more.
On the other hand, OpenAI’s chatbot ChatGPT provides both free and paid services. Users can sign up for a free account using their email and phone number and begin accessing ChatGPT with limited services.
The paid version of this chatbot “ChatGPT Plus” is available for $20/month and provides users with various benefits such as access to ChatGPT even during peak hours, faster response, and priority access to new features.
Google’s popular AI chatbot platform Bard is now powered by Gemini Pro which can be accessed by users by simply signing up on the chatbot using a personal Google Account. Google is expected to roll out Gemini into more Google products soon such as the Search Engine, Chrome, and more.
It is also expected to involve a similar combination to its previous large language models with more efficient Gemini LLMs. Google is also set to debut the Gemini Ultra in 2024, a large language model that is claimed to outperform OpenAI’s ChatGPT across 30 out of 32 categories based on a test conducted.
Jeff Dean tweeted on 6th December 2023, “Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points.”
