Question 1

How many tokens is 1000 words?

Accepted Answer

Approximately 1,300 to 1,500 tokens for standard English prose. The exact count depends on the model and content type — code and structured data produce more tokens per word.

Question 2

What is the difference between tokens and words in AI?

Accepted Answer

Tokens are subword units used by AI language models. One word can be 1–3 tokens. Common short words like 'the' are one token; longer or rarer words are split into multiple tokens. On average, 1 English word ≈ 1.3 tokens.

Question 3

How do I count tokens for ChatGPT?

Accepted Answer

Paste your text into Token Calculator at tokencalculator.app, select GPT-4o or GPT-5 from the model dropdown, and the token count updates in real time. The tool uses the same tiktoken library as OpenAI.

Question 4

Why are output tokens more expensive than input tokens?

Accepted Answer

Output tokens require the model to generate each token sequentially through autoregressive inference, which is computationally more intensive than reading input tokens in parallel. This is why output tokens typically cost 3–6x more per token.

Question 5

What is a context window in LLMs?

Accepted Answer

A context window is the maximum number of tokens an LLM can process in a single API call (input + output combined). GPT-4.1 supports 1M tokens, Gemini 3.1 Pro supports 2M tokens, and Llama 4 Scout supports 10M tokens.

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