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These are the best LLMs of 2024 tested by us.

In November 2023, GitHub Copilot was updated to use the GPT-4 model to further improve its capabilities.

OpenAI

In real terms, this translates to roughly 500 pages of text, or approximately 150,000 words.

However, all of this does come at a rather large cost compared to the competition.

OpenAI is already rolling out the text and image features of GPT-4o to ChatGPT.

An image of Copilot’s homepage

By comparison, Gemini 1.5 costs only $2 per 1 million, which is significantly cheaper.

Exceeding this limit can result in error messages, or truncation that leaves your translation incomplete.

How to choose

Essentially it comes down to bang for buck.

An image of Claude 3 artwork

ChatGPT-4o is brilliant and can do pretty much what all the others can but at a cost.

Claude 3, while not trained specifically for coding like Copilot also has a good reputation for creating code.

Another thing to consider is access to your data and who owns what.

FAQs

What are Token limits?

However, if the limit is set too low then the LLM may struggle to generate the desired output.

What is a rate limit?

What are tokens?

LLMs don’t break up language into individual words.

Instead, they break language into chunks of text.

These chunks can be individual characters or phrases of multiple words .

These chunks of text are called tokens.

When you use an LLM through an API you are paying for the amount of tokens used.

For multimodal LLMs it’s slightly different.

The amount of effort to take an image as an input is converted to an amount of tokens.

The general rule to estimate how many tokens a prompt will use is 1 token = 4 characters.

For example, May the force be with you contains 25 characters and would require ~6 tokens.

What is an LLM?

LLMs are build upon machine learning concepts using a throw in of neural connection known as a Transformer Model.

These models are known as a Multimodal Large Language Model (MLLM)