What is Token Limit?
The maximum number of tokens that can be processed in a single API request.
Definition
Token limits define the maximum input and output sizes for AI API calls. Each model has specific limits: GPT-4o supports 128K input tokens, Claude supports 200K. The limit includes both your prompt and the AI response. Exceeding the limit requires chunking strategies, summarization, or using models with larger context windows.
💡 Example
If you try to paste a 300-page PDF into ChatGPT, you will hit the token limit. Solutions include using Claude (200K tokens = ~150K words), splitting the document into sections, or using RAG to retrieve only relevant passages.
Related concepts
A type of AI trained on massive text datasets to understand and generate human language.
The basic unit of text that AI models process — roughly 4 characters or 0.75 words.
The maximum amount of text an AI model can process in a single conversation.
A way for developers to programmatically access AI models in their own applications.
What is Token Limit?
Token limits define the maximum input and output sizes for AI API calls. Each model has specific limits: GPT-4o supports 128K input tokens, Claude supports 200K. The limit includes both your prompt and the AI response. Exceeding the limit requires chunking strategies, summarization, or using models with larger context windows.
How does Token Limit work in practice?
If you try to paste a 300-page PDF into ChatGPT, you will hit the token limit. Solutions include using Claude (200K tokens = ~150K words), splitting the document into sections, or using RAG to retrieve only relevant passages.