Use cases for API models

[brazen gazelle]

What are the main uses/strengths of each of the following models?

• GPT-3.5-Turbo
• GPT-4
• GPT-4 Turbo
• GPT-4o
• GPT-4o Mini
  Describe the use cases in 5 bullet points due each model. Each bullet point should be only one short sentence.

[short hound]

Hi @brazen gazelle. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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• GPT-3.5-Turbo

  • Optimized for chat using the Chat Completions API.
  • Works well for non-chat tasks as well.
  • Can understand and generate natural language or code.
  • Suitable for tasks requiring a context window of 16,385 tokens.
  • Ideal for simple tasks due to its speed and cost-effectiveness. source (https://platform.openai.com/docs/models)

• GPT-4

  • Can solve difficult problems with greater accuracy due to its broader general knowledge and advanced reasoning capabilities.
  • Accepts text or image inputs and outputs text.
  • Optimized for chat but works well for traditional completions tasks.
  • Suitable for tasks requiring a context window of 128,000 tokens.
  • Available to paying customers. source (https://platform.openai.com/docs/models)

• GPT-4 Turbo

  • The latest GPT-4 Turbo model with vision capabilities.
  • Vision requests can now use JSON mode and function calling.
  • Suitable for tasks requiring a context window of 128,000 tokens.
  • Provides improved instruction following, reproducible outputs, and parallel function calling.
  • Available to paying customers. source (https://platform.openai.com/docs/models)

• GPT-4o

  • OpenAI's latest, fastest, highest intelligence model.
  • Can handle a combination of text, audio, and video inputs.
  • Can generate outputs in text, audio, and image formats.
  • Suitable for complex, multi-step tasks.
  • Supports a context length of 128k tokens (i.e. an average to longer novel). source (https://help.openai.com/en/articles/7102672-how-can-i-access-gpt-4-gpt-4-turbo-gpt-4o-and-gpt-4o-mini#h_7faba486a2)

• GPT-4o Mini
  • OpenAI's lightest-weight intelligence model.
  • Can handle a combination of text, audio, and video inputs.
  • Can generate outputs in text, audio, and image formats.
  • Suitable for fast, lightweight tasks.
  • More cost-effective and capable than GPT-3.5 Turbo. source (https://help.openai.com/en/articles/7102672-how-can-i-access-gpt-4-gpt-4-turbo-gpt-4o-and-gpt-4o-mini#h_7faba486a2)

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[mental glen]

@short hound what does an average to longer novel mean?

[short hound]

Let me check the knowledge base for you. One moment! :books:

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The phrase "an average to longer novel" is referring to the context length that the model can handle. In this case, it's 128k tokens. This means that the model can consider up to 128,000 tokens of text at a time when generating a response.

A token can be as short as one character or as long as one word. For example, the sentence "ChatGPT is great!" is encoded into six tokens: ["Chat", "G", "PT", " is", " great", "!"].

So, when it's said that a model can handle the length of "an average to longer novel", it means the model can process a very large amount of text - roughly equivalent to the length of a full-length novel - in a single interaction. This is useful for tasks that require understanding and generating long pieces of text.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: