Gemini Ultra vs Gemini Pro vs Gemini Nano: Gemini versions explained

 Google Gemini represents a step forward for Google’s AI efforts, as it is a brand-new large language model (LLM) made by Alphabet’s Brain Team and DeepMind.

The new LLM has a lot of potential, built from the ground up to be multimodal. Previously creating multimodal models involved a lot of tweaking and stitching to make them work, whereas Google’s solution is designed to accommodate different modes tailored for specific use cases.

There are three distinct versions of Gemini, all designed with different advantages and disadvantages. Let’s jump right in and take a closer look at Gemini Ultra vs Gemini Pro vs Gemini Nano.

In simplest terms, Gemini is the latest Large Language Model (LLM) from Google that will power the AI capabilities of several Google products and is already replacing PaLM2 on Bard. The easiest way to explain an LLM is to think of it as the engine behind the AI, whereas chatbots appreciate Google Bard are the cars that drive it.

So what is the difference between Gemini Ultra vs Gemini Pro vs Gemini Nano? All three versions are built from the same code and work similarly, but they have different use cases.

You wouldn’t equip a tiny Honda hatchback with a V10 engine, right? The same general idea applies to the different versions of Gemini as well. Google Gemini Nano is your reliable 4-cylinder engine, perfectly able to get you where you need to go while being lightweight and efficient. Google Gemini Pro is effectively your V6, a standard engine size that applies to a wide range of tasks. Finally, we have Google Gemini Ultra, which is the equivalent of a V10 with tons of capabilities but at the cost of efficiency, as it needs a lot of power to run.

How do the three modes of Google Gemini contrast to GPT? Google Gemini Nano doesn’t have a direct comparison, but Gemini Pro and Ultra are effectively Google’s answer to GPT 3.5 and GPT 4, respectively. Not only does Gemini have the power of Google seek so it can retrieve more current information, but it also is ahead of both engines in the vast majority of metrics. For example, Gemini Ultra outperformed GPT 4 in MATH and GSM8K benchmarks and is worlds above GPT for Python code generation.

In the next section, we’ll break down each version of Google Gemini, as well as a few more details on how each version compares to their respective GPT equivalent.

Google Gemini is the most lightweight and efficient of the models, designed to run directly on mobile devices. Google wasn’t content with just three versions of Gemini as Nano has two variants of its own: Nano-1 and Nano-2. The former can handle 1.8 billion parameters, while the latter is capable of 3.25 billion.

Although both are designed to run directly on lower-powered hardware, Nano-1 is for low-memory devices and Nano-2 is geared towards high-memory products.

Gemini Pro is the middle tier mode, and what is currently powering Google Bard. The good news is Bard should be able to better vie with ChatGPT now that it runs on Gemini Pro, at least if Google’s claims are accurate.

Reportedly Pro is more capable than GPT-3.5 in six different benchmarks and is especially optimized for tasks appreciate brainstorming, summarizing content, and writing. While this isn’t the newest version of GPT, it is the most front-facing as it is what is powering the popular ChatGPT service.

Google Gemini Ultra

Google Gemini Ultra represents the highest tier and is the LLM model that gives GPT-4 a run for its money, as mentioned above. The Ultra exceeds 30 of 32 academic benchmarks for current state-of-the-art results used for LLMs and beats GPT-4 in every category outside of commonsense reasoning for everyday tasks.

While GPT-4 can grasp the context of just words and images, Gemini goes a step advocate and can grasp nuanced information for words, images, audio, coding, and even more complicated topics relating to mathematics and physics. It can also reply quickly to your questions, essentially in real time. Unfortunately, it’s also not available in any form just yet and so it remains more of a promise than anything.

The easiest way to access Bard is to go to bard.google.com. You’ll need to sign into your Google account if you aren’t already. That’s it! You don’t need to do anything to switch Bard over to Gemini, as this was done by Google in the back-end. Of course, it is worth noting Bard is only available in English, though you can find it in more than 170 countries.

The new Gemini-boosted Bard will initially be available in English in more than 170 countries, though surprisingly not in the United Kingdom or Europe. This is due to regulatory hurdles, which will hopefully be solved shortly.

The Google Gemini release date is a bit complicated as it varies depending both on the LLM version and the applications it will be integrated into. Still here’s a basic breakdown:

• Google Gemini Nano will reach as a preview in Google’s new AI Core app, which started hitting Pixel 8 Pro users on December 6. It’s expected to eventually make its way to other Android 14 devices as well but at least for now it remains a Pixel exclusive.
• Google Gemini Pro launched on December 6th as an under-the-hood upgrade to Google Bard. It is also expected to roll out to enterprise customers using Vertex AI on December 13.
• Google Gemini Ultra is the most powerful version of the LLM and is expected to be a more suitable competitor to ChatGPT. Unfortunately, it’s not coming just yet. While Google hasn’t locked down the Gemini Ultra release date yet, it’s not expected until sometime in 2024.