Meta AI added a new and exciting one to its large language models by announcing the Llama 3. Llama 3 is an LLM developed by Meta AI and trained with only high-quality data. The Llama 3 model comes in 2 different sizes; 8B and 70B. The Llama 3 70B model has managed to outperform the GPT-3.5 model, which is the default model of ChatGPT. But Llama 3 still falls short when compared to GPT 4.

In this article, we will compare Llama 3 and ChatGPT models (GPT-3.5 and GPT-4) and discover which one is better.


  • Llama 3 is a large language model developed and published by Meta AI.
  • Llama 3 model comes with 3 model sizes, 2 publicly available and 1 in training phase; 8B, 70B and 400B.
  • To access Llama 3, you must be in one of the countries supported by Meta AI.
  • Llama 3 model has higher performance than ChatGPT-3.5 model in terms of training data, use case diversity and language skills.
  • ChatGPT-3.5 model is more advantageous than the Llama 3 model in terms of math, reasoning, coding, and accessibility.
  • ChatGPT-4 model still outperforms Llama 3 in many areas and use cases such as translations, paraphrasing and coding again.

What is Llama 3?

The Llama 3 is the newest and most advanced member of the Llama large language model family, developed and published by Meta AI. The Llama 3 models feature improved pre-training, prompt understanding, output generation, coding, reasoning, and math skills. According to the Meta AI team, Llama 3 has the potential to be the kickstarter of a new wave of innovation in artificial intelligence.

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Llama 3 Model Sizes

The Llama 3 model comes with two publicly available and accessible model sizes and one size that is currently being developed. The publicly available 8B and 70B models of the Llama 3 have demonstrated higher performance than their competitors in their respective classes. The Llama 400B model, which is not yet ready for publication, is trained with more data and has more parameters than the other two models. It is intended to be released as a rival to models such as GPT-4 and Claude 3 Opus.

LLAMA 3 vs GPT 4

How to Access Llama 3?

You can access the open-source Llama 3 models via Meta AI's official website. If you are in one of the countries: US, Australia, Canada, Ghana, Jamaica, Malawi, New Zealand, Nigeria, Pakistan, Singapore, South Africa, Uganda, Zambia, or Zimbabwe, you can access the Llama 3 model for free by following a few simple steps:

  1. Go to the Meta AI Official Website
  2. Click “Try Meta AI”
  3. Log in Your Meta Account

If you are not in one of the mentioned countries, you will see the message "Meta AI isn't available yet in your country" after the second step.

how to access llama 3

Access Llama 3 through TextCortex

If you are looking for an alternative to worldwide access to Llama 3 and all model sizes, ZenoChat by TextCortex is the way to go. ZenoChat is a customizable AI assistant that offers the most advanced LLMs to its users, including the Llama 3 model.

access llama 3

Is Llama 3 Better than GPT 4?

According to the article published by Meta AI, the Llama 3 model has higher benchmark scores and better performance than ChatGPT's default model, GPT-3.5. However, the Llama 3 model has much lower performance than GPT 4, ChatGPT's premium model.

Meta AI’s Llama 3 vs. OpenAI’s ChatGPT Comparison

It would be more accurate to compare Meta AI's Llama 3 model with OpenAI's ChatGPT-3.5 model. Both models are designed to quickly perform simple and medium-level tasks. Let's compare the two large language models and discover their differences.


According to Meta AI's report, the Llama 3 80B model has higher performance in benchmarks compared to Gemini Pro and GPT-3.5. For example, the Llama 3 model has a score of 82% in the MMLU benchmark, which measures the multitasking capabilities of large language models. When we look at OpenAI's technical paper, it is possible to see that the GPT-3.5 model has a 70% score in the same benchmark.

gpt 4 vs llama 3

In another example, the Llama 3 80B model has a score of 81.7% in the HumanEval benchmark, which is designed to measure the coding and reasoning skills of large language models. In the same benchmark, the GPT-3.5 model has a score of 83.8%. When we compare these two examples, it is possible to say that the Llama 3 model has higher performance in multitasking and the GPT-3.5 model has higher performance in reasoning and coding.

Training Data

The Llama 3 80B model has been trained with publicly available high-quality online data until December 2023. Meta AI used several unique filtering techniques to extract high-quality data when scanning the Llama 3 model. Moreover, while high-quality data was collected for the Llama 3 model, the Llama 2 model was also used. Meta AI stated that the Llama 2 model is surprisingly successful at identifying high-quality data.

llama 3 vs gpt 4

On the other hand, ChatGPT's default model, GPT-3.5, was only trained with publicly available online data up to the summer of 2021. Furthermore, high-quality data filtering techniques were not utilized during the training of the GPT-3.5 model. In summary, regarding the training data of both models, Llama 3 is one step ahead.


When it comes to accessibility, ChatGPT offers worldwide service, while Llama 3 models are currently only available in the US and 13 other countries. If you want to use the Llama 3 model through the official website, you need to log in from one of the countries it supports. In other words, while you can access ChatGPT from almost all countries, you can only access the Llama 3 model from a limited number of countries. In this respect, it is possible to say that ChatGPT is more advantageous than Llama 3.


The draw of contention between the two large language models is their pricing. Both ChatGPT's default model, GPT-3.5, and Llama 3 come in free versions. Although the Llama 3 model holds an advantage over the GPT-3.5 model in terms of integration and use cases, it can be said that they are both equal in the ring.

LLAMA 3 Pricingon Azure Marketplace

Use Cases

Since the Llama 3 model is open-source, it is easier to customize and optimize it for your professional tasks. If you are looking for an LLM that you can adapt to specific use cases, Llama 3 is the way to go. On the other hand, if you need a more successful LLM in content generation, paraphrasing, translation, and availability, ChatGPT-4 is the way to go.

A Better Alternative for Both: ZenoChat by TextCortex

ZenoChat by TextCortex is a superior alternative to ChatGPT and Llama 3, offering advanced AI features, customization options, and web access. With a diverse range of LLM catalogues, including Llama 3 8B and Llama 3 80B, ZenoChat is designed to assist users with their professional and daily tasks. ZenoChat is available as a web application and browser extension. The ZenoChat browser extension is integrated with 30,000+ websites and apps, so you can experience it anywhere and anytime.

Customize Your ZenoChat

ZenoChat offers a fully customizable AI experience thanks to our “Individual Personas” and “Knowledge Bases” features. Our “Individual Personas” feature allows you to tailor ZenoChat's output style, tone of voice, sentence length, dominant tone in your sentences, and personality according to your needs.

Our “Knowledge Bases” feature allows you to upload or connect datasets that ZenoChat will use to generate output. Using this feature, you can train ZenoChat with your own data and make it suitable for specific use cases. Moreover, ZenoChat's KB feature allows you to integrate your entire Google Drive or Microsoft OneDrive data with a single click.

Image Generation

In addition to text-based features such as summarization, text generation, sentence expansion, paraphrasing, and rewriting, ZenoChat also offers DALL-E 3-powered AI image generation.

To generate DALL-E 3-powered AI art using ZenoChat, simply log in to your TextCortex account, head to our web application, select ZenoChat, and enable image generation. Then, enter a prompt depicting the image you want to produce, and ZenoChat will convert your input into a high-quality and detailed DALL-E 3 prompt.