GPT 3.5 Turbo vs GPT 4 - Cost, Capabilities, and Credit Consumption

This article aims to shed light on the distinctions between GPT-3.5 and GPT-4.0, explore the reasons behind the differing costs associated with each model, and provide insights into token/credit consumption for users leveraging these cutting-edge technologies.

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PhantomBuster offers you the flexibility to choose the GPT version that suits your needs.

You can also choose whether you'd like to spend your PhantomBuster AI credits or connect with your OpenAI account directly and spend tokens from your OpenAI subscription

However, please note that the OpenAI API option is available exclusively with our Advanced AI Enricher.

The differences between ChatGPT-3.5 Turbo and ChatGPT-4.0 can be outlined in terms of parameters, memory, speed, visual input, context size, and multi-lingual capabilities.

GPT-4.0 is a more advanced and powerful version of the language model compared to GPT-3.5, which is why it’s more expensive. GPT-4.0 offers improved performance in terms of generating more accurate and contextually coherent responses. 

As a new version, GPT-4.0 requires significantly more processing power to generate messages, resulting in higher costs in terms of AI credits.

Utilizing GPT-4.0 for a single response can consume up to 30 times more credits compared to GPT-3.5. Therefore, exercising caution and managing AI credits wisely is important when using GPT-4.0 to avoid exhausting them quickly.

For up-to-date OpenAI's pricing information, please refer to OpenAI's Pricing Page.

We currently provide GPT-3.5 with 4k context and GPT-4.0 with 8k context.

Tokens<>Credits Usage Overview Approximation: 

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AI Phantoms will output the token cost for each request made by API key, and credit cost for whenever PhantomBuster<>OpenAI integration is used.

Things that can impact the amount of credits<>tokens used include (but are not limited to):

- Length of the prompt you're using as input
- Length of the response you're asking the AI to write for you
- Number of columns you feed to GPT
- Translation (English uses less credits than other languages)
- GPT Model (GPT-3.5 use less credits than GPT-4.0)

Tokenization and Language Considerations:

The number of tokens used can vary depending on the language. For instance, certain words may require several tokens, while others may only require one. As a result, languages other than English can be more expensive. For example, the phrase "I love cats" consists of 3 tokens, while its French translation "J'aime les chats" consists of 6 tokens.

Token Conversion Rule:

The rule that "1 token ~= 4 characters, 100 tokens ~= 75 words" is derived from OpenAI's page. You can find more details on tokenization at https://platform.openai.com/tokenizer.

Good to know: 

- you can find out your current OpenAI model here;

- not all users have access to GPT-4.0. For more information on this, please check this article;

- if you encounter a 429 issue, it might be because you are using a free OpenAI account which does not support APIs or you may have reached your account's rate limits. Please go to your OpenAI usage page to resolve this issue.

 

If you think this article does not address your issue, please contact Support directly. We are continuously improving, so your feedback means the world to us!

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