Prompt Length vs. Output Quality
Does adding more context always help, or does 'lost in the middle' occur? Read the in-depth article on the relationship between prompt size and model quality.
Read the article on Community →PromptToken Counter
Type or paste your prompt below for an instant client-side analysis of the estimated number of tokens, words, and characters.
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Estimated Tokens
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Words
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Characters
How is this calculated?
This estimation formula uses an average of ~4 characters per token (or 1.3 tokens per word) for Western languages and code.
Note: This is an indicative estimate. Exact tokenization differs per LLM tokenizer (such as OpenAI tiktoken, Claude Byte-Pair Encoding, or Llama tokenizers).
This estimation formula uses an average of ~4 characters per token (or 1.3 tokens per word) for Western languages and code.
Note: This is an indicative estimate. Exact tokenization differs per LLM tokenizer (such as OpenAI tiktoken, Claude Byte-Pair Encoding, or Llama tokenizers).
Calculate your API costs
Want to know what this prompt costs if you send it to GPT-4o, Claude 3.5 Sonnet, or DeepSeek? Enter the estimated token count into the cost calculator.
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