Token budget
Also written: Context length
The maximum amount of text an AI model can process or generate in one go, measured in tokens.
Think of a token budget as a word limit for an AI. Large language models like ChatGPT process information in chunks called tokens. A token can be a word, part of a word, or punctuation. The token budget is the maximum number of these tokens the AI can read or write in a single turn.
For example, if an AI has a token budget of 4,000 tokens, it can understand a prompt and generate a response that, combined, do not exceed 4,000 tokens. This limit affects how long your prompts can be and how much text the AI can produce at once.
The token budget, often referred to as context window size, defines the maximum number of tokens a transformer-based language model can process in a single forward pass. This includes both the input prompt and the generated output. Exceeding this limit requires techniques like sliding windows or summarization to manage longer contexts, impacting computational cost and potentially coherence.
Recent discussions highlight how token budgets impact the practical application of AI, especially for complex, long-running tasks. As labs like OpenAI enable longer processing times for AI agents, the efficiency and cost associated with these token limits become critical factors for users.
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- Microsoft Copilot
- Microsoft Copilot's updates likely consider token budgets when enabling business customization and managing costs for users.
- OpenAI ChatGPT
- OpenAI's advancements allow for running AI agents for extended periods, directly engaging with the concept of token budgets for complex problem-solving.
- Tokens
- Tokens are the individual units of text (words, subwords, punctuation) t
- Context window
- This is a synonym for token budget, referring to the total amoun
- API rate limits
- These limits control how many requests you can make to an AI se
The concept of token limits emerged with the development of transformer architectures, notably in the original Transformer paper. The term 'context window' is widely used in the AI research community and in model documentation. Source ↗
In ChatGPT, try giving it a very long article and asking it to summarize. If the article is too long for its token budget, it will likely tell you it cannot process the entire text or will only summarize a portion of it. You can also experiment with making your prompts longer to see where the model starts to lose context.
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Questions people ask
- How are tokens counted?
- Tokens are typically counted using a subword tokenization method. Roughly, 100 tokens are about 75 words in English, but this can vary.
- Can I increase the token budget?
- You cannot directly increase the token budget of a pre-trained model. However, newer models are released with larger token budgets, and techniques exist to handle longer contexts more efficiently.
First seen on Subvolts Oct 14, 2026. Updated Oct 16, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.