On July 18th, 2023, Meta AI launched their latest language model, Llama 2, and the tech world was buzzing with excitement. Naturally, we couldn't wait to put it to the test and see how it stacks up against other models, such as Google's PaLM 2, which was released just two months prior. So, we took both language models for a spin and conducted a thorough analysis to determine which one reigns supreme. 

In this article, we'll dive deep into the capabilities and performance of PaLM 2 and Llama 2 and compare them head-to-head. Get ready to find out which language model comes out on top!


  • Meta AI launched its most advanced large language model, Llama 2, in July 2023.
  • It can generate various types of written content such as stories, poems, emails and essays.
  • Llama 2 is a language model that blends publicly available online sources while ensuring no private information of individual users is included.
  • Compared to PaLM 2, Llama 2 shines in safety as it has the lowest violation output generation rate among all large language models.
  • PaLM 2 is more advanced than Llama 2 in terms of output quality and accuracy for spoken and programming languages.
  • TextCortex, an AI assistant with GPT-4 and Sophos 2 language models, is a superior alternative to PaLM 2 and Llama 2.

What is PaLM 2?

At the I/O 2023 conference, Google dropped a bombshell with the announcement of their latest and largest language model PaLM 2. With the number of astronomical parameters and larger trained data, the PaLM 2 language model represents Google's contribution to the competition in AI technology is doing. The PaLM 2 language model is already being used in Google products and services and offers a better experience to users.

What is PaLM 2

PaLM 2 Capabilities

PaLM 2 language model can generate outputs such as articles, stories, poems, emails, blog posts, riddles, and even programming codes with the creativity and quality that an advanced language model can do. If you use Google Bard AI, which uses the PaLM 2 language model, you can complete most of your daily tasks with it and speed up your various tasks such as research, writing, and email sending.

PaLM 2 Data Size

We know that the PaLM 2 large language model was trained using data worth 3.6 trillion tokens. Considering that every 4000 tokens are equivalent to about 3500 words, it means that it has been trained with millions of words of data.

Google announced at the I/O conference that the PaLM 2 language model does not use data that may contain harmful content. This approach ensures that the model does not generate toxic output. While this puts it at a disadvantage compared to GPT-4, it also prevents PaLM 2 from generating harmful and unsafe output.

PaLM 2 Parameters

The more parameters a language model has, the higher quality and accurate output it can generate. The main reason for this is that the decision-making mechanism of language models is based on parameters. While generating output, language models use parameters to connect words and sort most possible words.

The PaLM 2 language model with more than 340 billion parameters performs very well when generating output. If you command Google Bard to write a poem or a creative story, you may find that it generates high-quality and engaging outputs.

What is Llama 2 by Meta AI?

The Llama 2 language model is a large language model released by Meta AI in July 2023. To use this model, you must first accept Meta AI's user agreement and then install it on your desktop. Llama 2 language model is to offer users an alternative language model and improve their experience.

what is llama 2

Llama 2 Capabilities

With the Llama 2 language model, you can generate a variety of written content such as stories, poems, emails, blog posts, essays, and more. However, it's important to note that while Llama 2 can generate content, its output quality is not as high as PaLM 2. Llama 2 utilizes two different reward models when generating output, one of which determines the safety score of the output. It's worth noting that many of the outputs generated by Llama 2 do not get sent to the user due to their low safety score.

Llama 2 Data Size

When it comes to the data used to train Llama 2, all we know at this point is that it's a blend of publicly available online sources. However, what sets Llama 2 apart is that Meta AI has taken great care to ensure that no private information of individual users is included in this mix. So, you can rest easy knowing that Llama 2 is not only advanced but also ethically sound.

Llama 2 Parameters

Llama 2 language model has been released with 3 different available models. These models are 7B with 7 billion parameters, 13B with 13 billion parameters and 70B with 70 billion parameters. It is possible to say that the Llama 2 language model has a lower parameter number than PaLM 2.

PaLM 2 vs Llama 2

Now that we're familiar with both language models, we can compare them. While Llama 2 promises its users safe output generation, PaLM 2 promises its users creative and safe output. If you're curious about the difference between the two language models, keep reading!


First of all, we would like to start from the area where the Llama 2 language model shines, safety. Llama 2 is the language model with the lowest violation output generation rate among all large language models. Llama 2 is a good choice if you are looking for a family-friendly language model to generate outputs that do not contain harmful content.

llama 2 vs palm 2

In the document published by Meta AI, you can see that the 70B model, the most advanced version of Llama 2, has a high win rate against Bison, the 2nd most advanced model of PaLM 2, in 4000 prompt tests that do not contain any coding and reasoning. However, the trick is that the highest model of Llama 2 is compared with the second-best model of PaLM 2, and no prompts containing any math, coding, or reasoning are used. If the unicorn model of PaLM 2 were compared with prompts containing math, coding, and reasoning, we could predict that the result would be different.

palm 2 vs llama 2

Final Thoughts

When we compare the benchmarks and capabilities of PaLM 2 and Llama 2 language models, we can observe that PaLM 2 is significantly more advanced and successful in terms of output quality, accuracy, and performance. Moreover, PaLM 2 language model completes mathematical, coding, and reasoning tasks with much higher quality than Llama 2. Finally, we can conclude that the PaLM 2 language model generates more concise and accurate output in various spoken and programming languages. In conclusion, the PaLM 2 language model is a superior option to Llama 2.

TextCortex: The Best AI Assistant

If you're looking for a better & non-generic option than PaLM 2 and Llama 2, then TextCortex should be your answer. TextCortex is an AI assistant with different features for various tasks. It's available as a web app and browser extension integrated with over 10.000 websites and apps, so you can use it regardless of which tab you're on.

TextCortex comes with the conversational AI of your dreams, called ZenoChat. It has 12 different personas designed for different purposes.

If these personas are not enough for you, you can build your own digital AI with the "Individual Personas" feature. ZenoChat has a web search toggle where you can use Google data and various sources. You can also manually upload or connect the data it uses to generate output with the "Knowledge Bases" feature.

Click here to access TextCortex's outstanding capabilities and experience the benefits of AI assistance.