What are the character limits with ChatGPT?
Using AI has inherent limitations regarding the volume of text it can process in a single input. For instance, asking ChatGPT to generate a 15-chapter book in one go is impractical due to these constraints. This is analogous to the capacity of a gas tank in most vehicles, which typically holds around 13 gallons. Just as you cannot drive 700 miles on a single tank due to its capacity, ChatGPT’s output is similarly constrained by its processing limits. However, as AI technology advances, these limits may be expanded through upgrades.
The following section will detail the character count limitations and capabilities.
Character Limits in Detail
As of June 2023, the character count limitations for ChatGPT depend on the specific implementation and version of the API or service that is being used. Here are some general guidelines:
- OpenAI’s API:
- API Key: Voshi currently uses OpenAI’s API key to power our software. The API key allows us to take their software and implement it into our software.
- What is a token: In simple terms, “tokens” are the building blocks used by computers to understand and process text.
- Token Limit: The maximum context length (including both input and output tokens) for the API is typically 4096 tokens for GPT-3 models. GPT-4 models have a higher limit, which can be around 8192 tokens or more depending on the specific variant.
- Character Conversion: Since one token roughly corresponds to about 4 characters of English text, 4096 tokens would be approximately 16,384 characters, and 8192 tokens would be approximately 32,768 characters.
- ChatGPT Web Interface:
- The character count limit for a single input message in the ChatGPT web interface is generally around 2048 characters. This might vary slightly depending on the specific deployment or updates made by OpenAI.
- Responses:
- For responses generated by the model, the length is typically constrained by the token limit. For a standard GPT-3 model, a response could be around 4096 tokens, while for GPT-4, it could be around 8192 tokens or more.
These limits ensure that the models can process and generate text efficiently without running into performance or memory issues.